Citations Report

Pharmaceutical Bioprocessing : Citations & Metrics Report

Articles published in Pharmaceutical Bioprocessing have been cited by esteemed scholars and scientists all around the world.

Pharmaceutical Bioprocessing has got h-index 25, which means every article in Pharmaceutical Bioprocessing has got 25 average citations.

Following are the list of articles that have cited the articles published in Pharmaceutical Bioprocessing.

• Loubière, C., Delafosse, A., Guedon, E., Chevalot, I., Toye, D., & Olmos, E. (2019). Dimensional analysis and CFD simulations of microcarrier ‘just-suspended’state in mesenchymal stromal cells bioreactors. Chemical Engineering Science, 203, 464-474. View at Publisher | View at Google Scholar | View at Indexing
• Wyrobnik, T. A., Ducci, A., & Micheletti, M. (2020). Advances in human mesenchymal stromal cell-based therapies–Towards an integrated biological and engineering approach. Stem Cell Research, 47, 101888. View at Publisher | View at Google Scholar | View at Indexing
• Osiecki, M. J. (2016). Isolation and expansion of placental derived mesenchymal stromal cells in a packed bed bioreactor (Doctoral dissertation, Queensland University of Technology). View at Publisher | View at Google Scholar | View at Indexing
• Entezari, K. (2021). Simulation-based Design of Bioreactors Using Computational Multiphysics (Master's thesis, University of Waterloo). View at Publisher | View at Google Scholar | View at Indexing
• Loubière, C. (2018). Characterization and impact of the hydrodynamics on the performance of umbilical-cord derived stem cells culture in stirred tank bioreactors (Doctoral dissertation, Université de Lorraine). View at Publisher | View at Google Scholar | View at Indexing
• Roberts, E. L. (2018). Process Development for the Expansion of Equine Cord Blood Mesenchymal Stem Cells in Stirred Suspension Bioreactors for the Treatment of Joint Injuries in Horses (Master's thesis, Graduate Studies). View at Publisher | View at Google Scholar | View at Indexing
• Eibl, R., Senn, Y., Gubser, G., Jossen, V., van den Bos, C., & Eibl, D. (2021). Cellular Agriculture: Opportunities and Challenges. Annual Review of Food Science and Technology, 12, 51-73. View at Publisher | View at Google Scholar | View at Indexing
• Biechele, P., Busse, C., Solle, D., Scheper, T., & Reardon, K. (2015). Sensor systems for bioprocess monitoring. Engineering in Life sciences, 15(5), 469-488. View at Publisher | View at Google Scholar | View at Indexing
• Esmonde-White, K. A., Cuellar, M., Uerpmann, C., Lenain, B., & Lewis, I. R. (2017). Raman spectroscopy as a process analytical technology for pharmaceutical manufacturing and bioprocessing. Analytical and bioanalytical chemistry, 409(3), 637-649. View at Publisher | View at Google Scholar | View at Indexing
• Lewis, A. M., Croughan, W. D., Aranibar, N., Lee, A. G., Warrack, B., Abu-Absi, N. R., ... & Li, Z. J. (2016). Understanding and controlling sialylation in a CHO Fc-fusion process. PLoS One, 11(6), e0157111. View at Publisher | View at Google Scholar | View at Indexing
• Guerra, A., von Stosch, M., & Glassey, J. (2019). Toward biotherapeutic product real-time quality monitoring. Critical reviews in biotechnology, 39(3), 289-305. View at Publisher | View at Google Scholar | View at Indexing
• Zalai, D., Golabgir, A., Wechselberger, P., Putics, A., & Herwig, C. (2015). Advanced development strategies for biopharmaceutical cell culture processes. Current pharmaceutical biotechnology, 16(11), 983-1001. View at Publisher | View at Google Scholar | View at Indexing
• Musmann, C., Joeris, K., Markert, S., Solle, D., & Scheper, T. (2016). Spectroscopic methods and their applicability for high?throughput characterization of mammalian cell cultures in automated cell culture systems. Engineering in Life Sciences, 16(5), 405-416. View at Publisher | View at Google Scholar | View at Indexing
• McElearney, K., Ali, A., Gilbert, A., Kshirsagar, R., & Zang, L. (2016). Tryptophan oxidation catabolite, N?formylkynurenine, in photo degraded cell culture medium results in reduced cell culture performance. Biotechnology progress, 32(1), 74-82. View at Publisher | View at Google Scholar | View at Indexing
• Baradez, M. O., Biziato, D., Hassan, E., & Marshall, D. (2018). Application of Raman spectroscopy and univariate modelling as a process analytical technology for cell therapy bioprocessing. Frontiers in medicine, 5, 47. View at Publisher | View at Google Scholar | View at Indexing
• Matthews, T. E., Smelko, J. P., Berry, B., Romero?Torres, S., Hill, D., Kshirsagar, R., & Wiltberger, K. (2018). Glucose monitoring and adaptive feeding of mammalian cell culture in the presence of strong autofluorescence by near infrared Raman spectroscopy. Biotechnology progress, 34(6), 1574-1580. View at Publisher | View at Google Scholar | View at Indexing
• Matthews, T. E., Smelko, J. P., Berry, B., Romero?Torres, S., Hill, D., Kshirsagar, R., & Wiltberger, K. (2018). Glucose monitoring and adaptive feeding of mammalian cell culture in the presence of strong autofluorescence by near infrared Raman spectroscopy. Biotechnology progress, 34(6), 1574-1580. View at Publisher | View at Google Scholar | View at Indexing
• Chen, Y., Yang, O., Sampat, C., Bhalode, P., Ramachandran, R., & Ierapetritou, M. (2020). Digital twins in pharmaceutical and biopharmaceutical manufacturing: a literature review. Processes, 8(9), 1088. View at Publisher | View at Google Scholar | View at Indexing
• Hirsch, E., Pataki, H., Farkas, A., Bata, H., Vass, P., Fehe?r, C., ... & Marosi, G. J. (2016). Raman-based feedback control of the enzymatic hydrolysis of lactose. Organic Process Research & Development, 20(10), 1721-1727. View at Publisher | View at Google Scholar | View at Indexing
• Luoma, P., Golabgir, A., Brandstetter, M., Kasberger, J., & Herwig, C. (2017). Workflow for multi-analyte bioprocess monitoring demonstrated on inline NIR spectroscopy of P. chrysogenum fermentation. Analytical and bioanalytical chemistry, 409(3), 797-805. View at Publisher | View at Google Scholar | View at Indexing
• Kozma, B., Hirsch, E., Gergely, S., Párta, L., Pataki, H., & Salgó, A. (2017). On-line prediction of the glucose concentration of CHO cell cultivations by NIR and Raman spectroscopy: comparative scalability test with a shake flask model system. Journal of pharmaceutical and biomedical analysis, 145, 346-355. View at Publisher | View at Google Scholar | View at Indexing
• Pais, D. A., Portela, R. M., Carrondo, M. J., Isidro, I. A., & Alves, P. M. (2019). Enabling PAT in insect cell bioprocesses: In situ monitoring of recombinant adeno?associated virus production by fluorescence spectroscopy. Biotechnology and bioengineering, 116(11), 2803-2814. View at Publisher | View at Google Scholar | View at Indexing
• Gargalo, C. L., Udugama, I., Pontius, K., Lopez, P. C., Nielsen, R. F., Hasanzadeh, A., ... & Gernaey, K. V. (2020). Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes. Journal of Industrial Microbiology & Biotechnology: Official Journal of the Society for Industrial Microbiology and Biotechnology, 47(11), 947-964. View at Publisher | View at Google Scholar | View at Indexing
• Santos, R. M., Kaiser, P., Menezes, J. C., & Peinado, A. (2019). Improving reliability of Raman spectroscopy for mAb production by upstream processes during bioprocess development stages. Talanta, 199, 396-406. View at Publisher | View at Google Scholar | View at Indexing
• Rafferty, C., Johnson, K., O'Mahony, J., Burgoyne, B., Rea, R., & Balss, K. M. (2020). Analysis of chemometric models applied to Raman spectroscopy for monitoring key metabolites of cell culture. Biotechnology progress, 36(4), e2977. View at Publisher | View at Google Scholar | View at Indexing
• Chopda, V. R., Pathak, M., Batra, J., Gomes, J., & Rathore, A. S. (2017). Enabler for process analytical technology implementation in Pichia pastoris fermentation: Fluorescence?based soft sensors for rapid quantitation of product titer. Engineering in life sciences, 17(4), 448-457. View at Publisher | View at Google Scholar | View at Indexing
• Kastenhofer, J., & Spadiut, O. (2020). Culture medium density as a simple monitoring tool for cell integrity of Escherichia coli. Journal of Biotechnology: X, 6, 100017. View at Publisher | View at Google Scholar | View at Indexing
• Mehendale, N., Jenne, F., Joshi, C., Sharma, S., Masakapalli, S. K., & MacKinnon, N. (2020). A nuclear magnetic resonance (NMR) platform for real-time metabolic monitoring of bioprocesses. Molecules, 25(20), 4675. View at Publisher | View at Google Scholar | View at Indexing
• Kozma, B., Salgó, A., & Gergely, S. (2019). On-line glucose monitoring by near infrared spectroscopy during the scale up steps of mammalian cell cultivation process development. Bioprocess and biosystems engineering, 42(6), 921-932. View at Publisher | View at Google Scholar | View at Indexing
• Miclotte, G., Martens, K., & Fostier, J. (2020). Computational assessment of the feasibility of protonation-based protein sequencing. PloS one, 15(9), e0238625. View at Publisher | View at Google Scholar | View at Indexing
• Domján, J., Fricska, A., Madarász, L., Gyürkés, M., Köte, Á., Farkas, A., ... & Hirsch, E. (2020). Raman?based dynamic feeding strategies using real?time glucose concentration monitoring system during adalimumab producing CHO cell cultivation. Biotechnology Progress, 36(6), e3052. View at Publisher | View at Google Scholar | View at Indexing
• Thakur, G., & Rathore, A. S. (2021). Topic See All. Pharmaceutical Technology, 45(3), 32-40. View at Publisher | View at Google Scholar | View at Indexing
• Efromson, J. P., Li, S., & Lynch, M. D. (2021). BioSamplr: An open source, low cost automated sampling system for bioreactors. HardwareX, 9, e00177. View at Publisher | View at Google Scholar | View at Indexing
• Alimagham, F., Winterburn, J., Dolman, B., Domingues, P. M., Everest, F., Platkov, M., ... & Hutter, T. (2021). Real-time bioprocess monitoring using a mid-infrared fibre-optic sensor. Biochemical Engineering Journal, 167, 107889. View at Publisher | View at Google Scholar | View at Indexing
• Dahlbacka, J. (2018). Quantitative Monitoring of Aerobic and Anaerobic Bioprocesses using Vibrational Spectroscopy. View at Publisher | View at Google Scholar | View at Indexing
• Olubunmi, E. A., Ignat, T., Sadhasivam, G., Zakin, V., Schmilovitch, Z. E., & Orr, H. S. (2021). Low-Resolution Raman Spectroscopy for the detection of contaminant species in algal bioreactors. Science of The Total Environment, 151138. View at Publisher | View at Google Scholar | View at Indexing
• Zalai, D., Kopp, J., Kozma, B., Küchler, M., Herwig, C., & Kager, J. (2021). Microbial technologies for biotherapeutics production: Key tools for advanced biopharmaceutical process development and control. Drug Discovery Today: Technologies. View at Publisher | View at Google Scholar | View at Indexing
• Robinson, G. M. (2018). Globalization of agriculture. Annual Review of Resource Economics, 10, 133-160. View at Publisher | View at Google Scholar | View at Indexing
• Kurppa, K., Reuter, L. J., Ritala, A., Linder, M. B., & Joensuu, J. J. (2018). In?solution antibody harvesting with a plant?produced hydrophobin–Protein A fusion. Plant biotechnology journal, 16(2), 404-414. View at Publisher | View at Google Scholar | View at Indexing
• Mirzaee, M., Jalali-Javaran, M., Moieni, A., Zeinali, S., Behdani, M., Shams-Bakhsh, M., & Modarresi, M. (2018). Anti-VEGFR2 nanobody expression in lettuce using an infectious Turnip mosaic virus vector. Journal of Plant Biochemistry and Biotechnology, 27(2), 167-174. View at Publisher | View at Google Scholar | View at Indexing
• Ghag, S. B., Adki, V. S., Ganapathi, T. R., & Bapat, V. A. (2021). Plant Platforms for Efficient Heterologous Protein Production. Biotechnology and Bioprocess Engineering, 26(4), 546-567. View at Publisher | View at Google Scholar | View at Indexing
• Babar, M. M., Pothineni, V. R., Ali, Z., Faisal, S., Hakeem, K. R., & Gul, A. (2017). Application of bioinformatics and system biology in medicinal plant studies. In Plant Bioinformatics (pp. 375-393). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
• Zahoor, I., Shafi, A., Fazili, K. M., & Haq, E. (2019). Bioinformatics and Medicinal Plant Research: Current Scenario. In Essentials of Bioinformatics, Volume III (pp. 141-157). Springer, Cham. View at Publisher | View at Google Scholar | View at Indexing
• Pothineni, V. R., Ali, Z., Faisal, S., Hakeem, K. R., & Gul, A. (2017). Application of Bioinformatics and System Biology in Medicinal Plant Studies. Plant Bioinformatics: Decoding the Phyta, 375. View at Publisher | View at Google Scholar | View at Indexing
• Kobayashi, Y., Kärkkäinen, E., Häkkinen, S. T., Nohynek, L., Ritala, A., Rischer, H., & Tuomisto, H. L. (2021). Life cycle assessment of plant cell cultures. Science of the Total Environment, 151990. View at Publisher | View at Google Scholar | View at Indexing
• Lalonde, M. E., & Durocher, Y. (2017). Therapeutic glycoprotein production in mammalian cells. Journal of biotechnology, 251, 128-140. View at Publisher | View at Google Scholar | View at Indexing
• Valente, K. N., Lenhoff, A. M., & Lee, K. H. (2015). Expression of difficult?to?remove host cell protein impurities during extended Chinese hamster ovary cell culture and their impact on continuous bioprocessing. Biotechnology and bioengineering, 112(6), 1232-1242. View at Publisher | View at Google Scholar | View at Indexing
• Brühlmann, D., Jordan, M., Hemberger, J., Sauer, M., Stettler, M., & Broly, H. (2015). Tailoring recombinant protein quality by rational media design. Biotechnology progress, 31(3), 615-629. View at Publisher | View at Google Scholar | View at Indexing
• Kremkow, B. G., Baik, J. Y., MacDonald, M. L., & Lee, K. H. (2015). CHOgenome. org 2.0: Genome resources and website updates. Biotechnology journal, 10(7), 931-938. View at Publisher | View at Google Scholar | View at Indexing
• Kremkow, B. G., Baik, J. Y., MacDonald, M. L., & Lee, K. H. (2015). CHOgenome. org 2.0: Genome resources and website updates. Biotechnology journal, 10(7), 931-938. View at Publisher | View at Google Scholar | View at Indexing