Thomas Dupic

893 citations
15 papers · 398 indexed · h-index 9

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • SARS-CoV-2 and COVID-19 Research

Papers in

Thomas Dupic

15 papers receiving 395 citations

Peers

Thomas Dupic
Comparison fields: 5 of 58
  • Immunology 172
  • Infectious Diseases 82
  • Oncology 99
  • Radiology, Nuclear Medicine and Imaging 61
  • Molecular Biology 168
Replace Pankaj Jha with:
Pankaj Jha India
Julianne K. David United States
Yael Sagi United States
Giancarlo Croce Switzerland
Jiankui He United States
Nathaniel L. Miller United States
Zhifeng Li China
Osman N. Yoğurtçu United States
Assaf Amitai United States
Jyoti Dev United States
Thomas Dupic relative to Pankaj Jha India Pankaj Jha's profile →
Citations per field
00.5×4.8×
Pankaj Jha · 1×
Citations per year

Countries citing papers authored by Thomas Dupic

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Thomas Dupic Line = papers co-authored together Thomas Dupic links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202189
2 202271
3 201967
4 202135
5 202032
6 202331
7 201830
8 202312
9 202111
10 20166
11 20245
12 20234
13 20142
14 20192
15 20241

About Thomas Dupic

Thomas Dupic is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology and Nuclear and High Energy Physics, having authored 15 papers that have together received 398 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 (2 papers), Immunotherapy and Immune Responses (2 papers), Influenza Virus Research Studies (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Immunology (172 citations), Infectious Diseases (82 citations), Oncology (99 citations), Radiology, Nuclear Medicine and Imaging (61 citations) and Molecular Biology (168 citations). Thomas Dupic has collaborated with scholars based in United States, France and Burundi. Frequent co-authors include Thierry Mora, Aleksandra M. Walczak, Michael M. Desai, Quentin Marcou, Angela M. Phillips, Alief Moulana, Jeffrey Chang, Benoit Estienne, Yacine Ikhlef and Allison J. Greaney. Their work appears in journals such as eLife, PLoS Computational Biology, Journal of Physics A Mathematical and Theoretical, Science Immunology and PLoS Genetics.

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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