Michael Borys

3.8k total citations
109 papers, 2.4k citations indexed

About

Michael Borys is a scholar working on Molecular Biology, Biomedical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Michael Borys has authored 109 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 33 papers in Biomedical Engineering and 22 papers in Statistics, Probability and Uncertainty. Recurrent topics in Michael Borys's work include Viral Infectious Diseases and Gene Expression in Insects (64 papers), Protein purification and stability (53 papers) and Scientific Measurement and Uncertainty Evaluation (22 papers). Michael Borys is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (64 papers), Protein purification and stability (53 papers) and Scientific Measurement and Uncertainty Evaluation (22 papers). Michael Borys collaborates with scholars based in United States, Germany and Italy. Michael Borys's co-authors include Zheng Jian Li, Eleftherios T. Papoutsakis, Daniel I. H. Linzer, Nicholas R. Abu‐Absi, Jianlin Xu, Nripen Singh, Zizhuo Xing, Abhiram Arunkumar, M.C. Hausladen and David Strachan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and PLoS ONE.

In The Last Decade

Michael Borys

103 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Borys United States 30 1.8k 568 556 259 174 109 2.4k
Yusheng Feng United States 20 246 0.1× 475 0.8× 138 0.2× 39 0.2× 53 0.3× 55 1.1k
Martin Held Switzerland 27 2.2k 1.2× 298 0.5× 42 0.1× 28 0.1× 38 0.2× 63 3.5k
Manfred Claassen Germany 23 2.0k 1.2× 232 0.4× 254 0.5× 8 0.0× 159 0.9× 98 3.6k
Α. Lübbert Germany 27 1.2k 0.7× 814 1.4× 59 0.1× 21 0.1× 14 0.1× 111 2.3k
Joe Pitt‐Francis United Kingdom 20 676 0.4× 294 0.5× 120 0.2× 29 0.1× 79 0.5× 52 1.8k
John J. Hill United States 27 1.3k 0.8× 199 0.4× 125 0.2× 4 0.0× 44 0.3× 71 2.4k
Yongxian Wang China 23 334 0.2× 324 0.6× 245 0.4× 6 0.0× 32 0.2× 156 1.9k
Joe G. Greener United Kingdom 12 989 0.6× 147 0.3× 141 0.3× 5 0.0× 72 0.4× 19 1.9k
Hugo Penedones United Kingdom 4 1.4k 0.8× 115 0.2× 149 0.3× 8 0.0× 67 0.4× 5 2.2k
Anni H. Andersen Denmark 29 2.0k 1.2× 568 1.0× 700 1.3× 3 0.0× 24 0.1× 61 3.2k

Countries citing papers authored by Michael Borys

Since Specialization
Citations

This map shows the geographic impact of Michael Borys's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Borys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Borys more than expected).

Fields of papers citing papers by Michael Borys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Borys. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Borys. The network helps show where Michael Borys may publish in the future.

Co-authorship network of co-authors of Michael Borys

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Borys. A scholar is included among the top collaborators of Michael Borys based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Borys. Michael Borys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chemmalil, Letha, Yueming Qian, Chris Chumsae, et al.. (2025). Integrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors. Engineering in Life Sciences. 25(1). e202400031–e202400031. 1 indexed citations
2.
Müller, Matthias, et al.. (2025). Realisation of the kilogram with the XRCD method – improved XRF evaluation and its impact. Metrologia. 62(6). 65001–65001. 1 indexed citations
3.
Nicolaus, Arnold, et al.. (2024). Status of the kilogram realisation using the XRCD method at PTB. Measurement Sensors. 38. 101353–101353. 2 indexed citations
4.
Tang, Yawen, Jianlin Xu, Mengmeng Xu, et al.. (2024). Fed‐batch performance profiles for mAb production using different intensified N  − 1 seed strategies are CHO cell‐line dependent. Biotechnology Progress. 40(4). e3446–e3446.
5.
Xing, Zizhuo, et al.. (2024). Validation of a CFD model for cell culture bioreactors at large scale and its application in scale-up. Journal of Biotechnology. 387. 79–88. 6 indexed citations
6.
Wübbeler, Gerd, et al.. (2023). On modelling of artefact instability in interlaboratory comparisons. Metrologia. 60(4). 45010–45010.
7.
Siddiquee, Khandaker, Zhuangrong Huang, Jianlin Xu, et al.. (2023). Strategies for controlling afucosylation in monoclonal antibodies during upstream manufacturing. Biotechnology Journal. 18(7). e2200604–e2200604. 5 indexed citations
8.
Huang, Zhuangrong, Khandaker Siddiquee, Jianlin Xu, et al.. (2023). Identification of Cell Culture Factors Influencing Afucosylation Levels in Monoclonal Antibodies by Partial Least-Squares Regression and Variable Importance Metrics. Processes. 11(1). 223–223. 6 indexed citations
9.
Park, Seo‐Young, Anthony J. Cura, Xuankuo Xu, et al.. (2021). Untargeted proteomics reveals upregulation of stress response pathways during CHO-based monoclonal antibody manufacturing process leading to disulfide bond reduction. mAbs. 13(1). 1963094–1963094. 6 indexed citations
10.
Cura, Anthony J., Xuankuo Xu, Yunping Huang, et al.. (2020). Metabolic understanding of disulfide reduction during monoclonal antibody production. Applied Microbiology and Biotechnology. 104(22). 9655–9669. 3 indexed citations
11.
Tian, Jun, Zhijun Tan, Jie Chen, et al.. (2019). Modulating cell culture oxidative stress reduces protein glycation and acidic charge variant formation. mAbs. 11(1). 205–216. 33 indexed citations
12.
Tian, Jun, Zhijun Tan, Jie Chen, et al.. (2018). Industrial bioprocessing perspectives on managing therapeutic protein charge variant profiles. Biotechnology and Bioengineering. 115(7). 1646–1665. 49 indexed citations
13.
Barnett, Gregory V., Ameya U. Borwankar, Nripen Singh, et al.. (2018). Protection of therapeutic antibodies from visible light induced degradation: Use safe light in manufacturing and storage. European Journal of Pharmaceutics and Biopharmaceutics. 127. 37–43. 37 indexed citations
14.
Du, Cheng, Ameya U. Borwankar, Nripen Singh, Michael Borys, & Zheng Jian Li. (2017). A Nondestructive Method for Measuring Protein Distribution in Frozen Drug Substance. Journal of Pharmaceutical Sciences. 106(8). 1978–1986. 1 indexed citations
15.
Li, Yi, Xuankuo Xu, Alan Shupe, et al.. (2015). Heterogeneous glycoform separation by process chromatography: I. Journal of Chromatography A. 1404. 51–59. 2 indexed citations
16.
Aranı́bar, Nelly, Michael Borys, Nancy A. Mackin, et al.. (2011). NMR-based metabolomics of mammalian cell and tissue cultures. Journal of Biomolecular NMR. 49(3-4). 195–206. 57 indexed citations
17.
Abu‐Absi, Nicholas R., et al.. (2010). Real time monitoring of multiple parameters in mammalian cell culture bioreactors using an in‐line Raman spectroscopy probe. Biotechnology and Bioengineering. 108(5). 1215–1221. 236 indexed citations
18.
Borys, Michael, Nicholas R. Abu‐Absi, Sarwat F. Khattak, et al.. (2009). Effects of culture conditions on N‐glycolylneuraminic acid (Neu5Gc) content of a recombinant fusion protein produced in CHO cells. Biotechnology and Bioengineering. 105(6). 1048–1057. 60 indexed citations
19.
Borys, Michael, Daniel I. H. Linzer, & Eleftherios T. Papoutsakis. (1994). Cell Aggregation in a Chinese Hamster Ovary Cell Microcarrier Culture Affects the Expression Rate and N‐linked Glycosylation of Recombinant Mouse Placental Lactogen‐1a. Annals of the New York Academy of Sciences. 745(1). 360–371. 2 indexed citations
20.
Borys, Michael, Daniel I. H. Linzer, & Eleftherios T. Papoutsakis. (1993). Culture pH Affects Expression Rates and Glycosylation of Recombinant Mouse Placental Lactogen Proteins by Chinese Hamster Ovary (CHO) Cells. Nature Biotechnology. 11(6). 720–724. 119 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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