David Masopust
- Immunology top 0.02%
- T-cell and B-cell Immunology 86
- Immune Cell Function and Interaction 85
- Immunotherapy and Immune Responses 56
- Immune Response and Inflammation 9
- Immune cells in cancer 8
- Virology top 0.5%
- Oncology top 0.5%
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 6
- Infectious Diseases top 0.5%
- Epidemiology top 0.5%
-
- Single-cell and spatial transcriptomics 8
- Co-authors
- Vaiva VezysJason M. SchenkelRafi AhmedE. John WherryStephen C. JamesonLeo LefrançoisDaniel L. BarberLalit K. Beura
- Cited by
- ImmunologyVirologyOncology
- Journals
- The Journal of Immunology (28 papers)Immunity (13 papers)The Journal of Experimental Medicine (8 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
David Masopust
124 papers receiving 21.3k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 17.3k
- Virology 1.0k
- Oncology 4.6k
- Infectious Diseases 2.1k
- Epidemiology 3.1k
Countries citing papers authored by David Masopust
This map shows the geographic impact of David Masopust'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 David Masopust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Masopust more than expected).
Fields of papers citing papers by David Masopust
This network shows the impact of papers produced by David Masopust. 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 David Masopust. The network helps show where David Masopust may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Masopust, 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 | 2024 | 15 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 35 | |
| 7 | 2023 | 14 | |
| 8 | Functional T cells are capable of supernumerary cell division and longevitybreakdown → | 2023 | 111 |
| 9 | CD4+ T cell memorybreakdown → | 2023 | 156 |
| 10 | 2023 | 25 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 45 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 102 | |
| 16 | 2020 | 92 | |
| 17 | Tissue-Resident T Cells and Other Resident Leukocytesbreakdown → | 2019 | 430 |
| 18 | 2019 | 140 | |
| 19 | Resident memory CD8 T cells trigger protective innate and adaptive immune responsesbreakdown → | 2014 | 545 |
| 20 | 2006 | 387 |
About David Masopust
David Masopust is a scholar working on Immunology, Virology, Infectious Diseases, Oncology and Neurology, having authored 127 papers that have together received 21.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (86 papers), Immune Cell Function and Interaction (85 papers), Immunotherapy and Immune Responses (56 papers), CAR-T cell therapy research (12 papers), Immune Response and Inflammation (9 papers), Single-cell and spatial transcriptomics (8 papers), Immune cells in cancer (8 papers) and Cancer Immunotherapy and Biomarkers (6 papers). The work is most often cited by research in Immunology (17.3k citations), Virology (1.0k citations), Oncology (4.6k citations), Infectious Diseases (2.1k citations) and Epidemiology (3.1k citations). David Masopust has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Vaiva Vezys, Jason M. Schenkel, Rafi Ahmed, E. John Wherry, Stephen C. Jameson, Leo Lefrançois, Daniel L. Barber, Lalit K. Beura, Kathryn Fraser and Gordon J. Freeman. Their work appears in journals such as The Journal of Immunology, Immunity, The Journal of Experimental Medicine, Nature and Nature Immunology.
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.