Patrick Chames
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- Monoclonal and Polyclonal Antibodies Research 63
- Immunology top 2%
- Immunotherapy and Immune Responses 11
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 10
- Oncology top 2%
- CAR-T cell therapy research 17
- Molecular Biology top 2%
- Advanced Biosensing Techniques and Applications 24
- Glycosylation and Glycoproteins Research 20
- Advanced biosensing and bioanalysis techniques 10
- Virology top 5%
- Co-authors
- Daniel BatyMarc Van RegenmortelÉtienne WeissHennie R. HoogenboomKlervi Even-DesrumeauxRalph A. WillemsenBrigitte KerfélecAlyona Sukhanova
- Partner nations
- FranceRussiaNetherlands
In The Last Decade
Patrick Chames
87 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Radiology, Nuclear Medicine and Imaging 2.0k
- Immunology 1.3k
- Oncology 1.2k
- Molecular Biology 2.5k
- Virology 128
Countries citing papers authored by Patrick Chames
This map shows the geographic impact of Patrick Chames'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 Patrick Chames with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Chames more than expected).
Fields of papers citing papers by Patrick Chames
This network shows the impact of papers produced by Patrick Chames. 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 Patrick Chames. The network helps show where Patrick Chames may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick Chames, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 29 | |
| 8 | 2021 | 18 | |
| 9 | 2018 | 32 | |
| 10 | 2017 | 61 | |
| 11 | 2014 | 0 | |
| 12 | 2013 | 58 | |
| 13 | 2013 | 30 | |
| 14 | 2012 | 26 | |
| 15 | Antibody engineering : methods and protocols | 2012 | 15 |
| 16 | 2012 | 16 | |
| 17 | 2010 | 29 | |
| 18 | 2009 | 270 | |
| 19 | 2007 | 72 | |
| 20 | 2005 | 54 |
About Patrick Chames
Patrick Chames is a scholar working on Radiology, Nuclear Medicine and Imaging, Virology and Immunology, having authored 91 papers that have together received 4.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (63 papers), Advanced Biosensing Techniques and Applications (24 papers), Glycosylation and Glycoproteins Research (20 papers), CAR-T cell therapy research (17 papers), Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (10 papers) and Advanced biosensing and bioanalysis techniques (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Immunology (1.3k citations) and Oncology (1.2k citations). Patrick Chames has collaborated with scholars based in France, Russia and Netherlands. Frequent co-authors include Daniel Baty, Marc Van Regenmortel, Étienne Weiss, Hennie R. Hoogenboom, Klervi Even-Desrumeaux, Ralph A. Willemsen, Brigitte Kerfélec, Alyona Sukhanova, Igor Nabiev and Reno Debets. Their work appears in journals such as Journal of Virology, The Journal of Immunology, ACS Nano, Proceedings of the National Academy of Sciences and Scientific 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.