Paul deRoos
- Immunology top 0.5%
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 11
- Immune Response and Inflammation 3
- Toxin Mechanisms and Immunotoxins 2
- Biological Psychiatry top 1%
- Gastroenterology top 1%
- Molecular Biology top 2%
- Infectious Diseases top 2%
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- Trace Elements in Health 6
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- Hematopoietic Stem Cell Transplantation 4
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- CAR-T cell therapy research 2
- Co-authors
- Alexander Y. RudenskyHui LiuXiying FanNicholas ArpaiaJoris van der VeekenStanislav DikiyJustin R. CrossKlaus Pfeffer
- Journals
- Blood (8 papers)The Journal of Immunology (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesItalySouth Africa
In The Last Decade
Paul deRoos
28 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 3.2k
- Biological Psychiatry 272
- Gastroenterology 337
- Molecular Biology 3.1k
- Infectious Diseases 756
Countries citing papers authored by Paul deRoos
This map shows the geographic impact of Paul deRoos'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 Paul deRoos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul deRoos more than expected).
Fields of papers citing papers by Paul deRoos
This network shows the impact of papers produced by Paul deRoos. 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 Paul deRoos. The network helps show where Paul deRoos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul deRoos, 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 | 2023 | 0 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 4 | |
| 9 | Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generationbreakdown → | 2013 | 3510 |
| 10 | 2012 | 344 | |
| 11 | 2009 | 137 | |
| 12 | Regulatory T-cell suppressor program co-opts transcription factor IRF4 to control TH2 responsesbreakdown → | 2009 | 735 |
| 13 | Single-cell analysis of normal and FOXP3-mutant human T cells: FOXP3 expression without regulatory T cell developmentbreakdown → | 2006 | 640 |
| 14 | 2002 | 144 | |
| 15 | 2001 | 141 | |
| 16 | 1997 | 189 | |
| 17 | 1996 | 54 | |
| 18 | 1996 | 29 | |
| 19 | 1994 | 95 | |
| 20 | 1990 | 158 |
About Paul deRoos
Paul deRoos is a scholar working on Immunology, Hematology, Biological Psychiatry, Nutrition and Dietetics and Genetics, having authored 31 papers that have together received 6.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (11 papers), Trace Elements in Health (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immune Response and Inflammation (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (3.2k citations), Biological Psychiatry (272 citations), Gastroenterology (337 citations), Molecular Biology (3.1k citations) and Infectious Diseases (756 citations). Paul deRoos has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include Alexander Y. Rudensky, Hui Liu, Xiying Fan, Nicholas Arpaia, Joris van der Veeken, Stanislav Dikiy, Justin R. Cross, Klaus Pfeffer, Clarissa Campbell and Paul J. Coffer. Their work appears in journals such as Blood, The Journal of Immunology, Proceedings of the National Academy of Sciences, European Journal of Immunology and Immunity.
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.