Isabelle Caffry
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
- Glycosylation and Glycoproteins Research
- vaccines and immunoinformatics approaches
Papers in
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- Protein purification and stability 9
- Viral Infectious Diseases and Gene Expression in Insects 3
- Glycosylation and Glycoproteins Research 1
- Advanced Biosensing Techniques and Applications 1
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Yingda Xu (9 shared papers)Tingwan Sun (8 shared papers)Tushar Jain (7 shared papers)Yao Yu (6 shared papers)Heather Lynaugh (7 shared papers)Maximiliano Vásquez (6 shared papers)Yuan Cao (5 shared papers)Michael E. Brown (6 shared papers)
- Journals
- mAbs (5 papers)SLAS DISCOVERY (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Engineering Reports (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Isabelle Caffry
9 papers receiving 691 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 630
- Molecular Biology 660
- Immunology 160
- Biotechnology 45
- Oncology 68
Countries citing papers authored by Isabelle Caffry
This map shows the geographic impact of Isabelle Caffry'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 Isabelle Caffry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle Caffry more than expected).
Fields of papers citing papers by Isabelle Caffry
This network shows the impact of papers produced by Isabelle Caffry. 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 Isabelle Caffry. The network helps show where Isabelle Caffry may publish in the future.
Co-authors
The 25 scholars most cited alongside Isabelle Caffry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Biophysical properties of the clinical-stage antibody landscape Hit paper breakdown → | 2017 | 412 |
| 2 | 2013 | 103 | |
| 3 | 2015 | 66 | |
| 4 | 2017 | 52 | |
| 5 | 2015 | 48 | |
| 6 | 2016 | 39 | |
| 7 | 2020 | 22 | |
| 8 | 2015 | 12 | |
| 9 | 2020 | 7 |
About Isabelle Caffry
Isabelle Caffry is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Oncology and Biomedical Engineering, having authored 9 papers that have together received 761 indexed citations. Recurring topics across this work include Protein purification and stability (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Biosimilars and Bioanalytical Methods (2 papers), CAR-T cell therapy research (1 paper), Glycosylation and Glycoproteins Research (1 paper), Microfluidic and Capillary Electrophoresis Applications (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (630 citations), Molecular Biology (660 citations), Immunology (160 citations), Biotechnology (45 citations) and Oncology (68 citations). Isabelle Caffry has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Yingda Xu, Tingwan Sun, Tushar Jain, Yao Yu, Heather Lynaugh, Maximiliano Vásquez, Yuan Cao, Michael E. Brown, K. Dane Wittrup and Stéphanie Durand. Their work appears in journals such as mAbs, SLAS DISCOVERY, Proceedings of the National Academy of Sciences, PLoS ONE and Engineering Reports.
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.