Thomas Dupic
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
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- SARS-CoV-2 and COVID-19 Research
Papers in
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Aleksandra M. Walczak (7 shared papers)Thierry Mora (7 shared papers)Michael M. Desai (6 shared papers)Angela M. Phillips (5 shared papers)Alief Moulana (6 shared papers)Quentin Marcou (1 shared paper)Jeffrey S. Chang (3 shared papers)Benoit Estienne (3 shared papers)
- Journals
- eLife (4 papers)PLoS Computational Biology (2 papers)Journal of Physics A Mathematical and Theoretical (2 papers)Trends in Immunology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Thomas Dupic
16 papers receiving 485 citations
Peers
Comparison fields: 5 of 62
- Immunology 191
- Infectious Diseases 93
- Oncology 119
- Radiology, Nuclear Medicine and Imaging 65
- Molecular Biology 183
Countries citing papers authored by Thomas Dupic
This map shows the geographic impact of Thomas Dupic'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 Thomas Dupic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Dupic more than expected).
Fields of papers citing papers by Thomas Dupic
This network shows the impact of papers produced by Thomas Dupic. 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 Thomas Dupic. The network helps show where Thomas Dupic may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Dupic, 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 | 2021 | 127 | |
| 2 | 2022 | 88 | |
| 3 | 2019 | 70 | |
| 4 | 2021 | 43 | |
| 5 | 2020 | 38 | |
| 6 | 2023 | 35 | |
| 7 | 2018 | 34 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2016 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2014 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2026 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 0 |
About Thomas Dupic
Thomas Dupic is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Infectious Diseases and Geometry and Topology, having authored 17 papers that have together received 488 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (5 papers), Black Holes and Theoretical Physics (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (2 papers), Immunotherapy and Immune Responses (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Immunology (191 citations), Infectious Diseases (93 citations), Oncology (119 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Molecular Biology (183 citations). Thomas Dupic has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Aleksandra M. Walczak, Thierry Mora, Michael M. Desai, Angela M. Phillips, Alief Moulana, Quentin Marcou, Jeffrey S. Chang, Benoit Estienne, Yacine Ikhlef and Tyler N. Starr. Their work appears in journals such as eLife, PLoS Computational Biology, Journal of Physics A Mathematical and Theoretical, Trends in Immunology and Proceedings of the National Academy of Sciences.
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.