Jaime Darce
Impact in
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Hematology top 5%
Papers in
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- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
- Immunodeficiency and Autoimmune Disorders 2
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- Signaling Pathways in Disease 2
- Co-authors
- Diane Mathis (3 shared papers)Christophe Benoıst (3 shared papers)Diane F. Jelinek (7 shared papers)Ivaylo I. Ivanov (1 shared paper)Dan R. Littman (1 shared paper)Hsin-Jung Wu (1 shared paper)Kimie Hattori (1 shared paper)Tatsuichiro Shima (1 shared paper)
- Journals
- Blood (3 papers)Science (2 papers)The Journal of Immunology (2 papers)Immunity (2 papers)Nature Immunology (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Jaime Darce
13 papers receiving 3.2k citations
Jaime Darce's Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 1.8k
- Hematology 298
- Rheumatology 364
- Gastroenterology 124
- Biological Psychiatry 55
Countries citing papers authored by Jaime Darce
This map shows the geographic impact of Jaime Darce'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 Jaime Darce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Darce more than expected).
Fields of papers citing papers by Jaime Darce
This network shows the impact of papers produced by Jaime Darce. 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 Jaime Darce. The network helps show where Jaime Darce may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaime Darce, 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 | Gut-Residing Segmented Filamentous Bacteria Drive Autoimmune Arthritis via T Helper 17 Cells Hit paper breakdown → | 2010 | 1209 |
| 2 | Stability of the Regulatory T Cell Lineage in Vivo Hit paper breakdown → | 2010 | 560 |
| 3 | 2003 | 429 | |
| 4 | Diversity, cellular origin and autoreactivity of antibody-secreting cell population expansions in acute systemic lupus erythematosus Hit paper breakdown → | 2015 | 392 |
| 5 | 2007 | 193 | |
| 6 | 2006 | 92 | |
| 7 | 2012 | 90 | |
| 8 | 2020 | 81 | |
| 9 | 2005 | 70 | |
| 10 | 2007 | 54 | |
| 11 | 2008 | 35 | |
| 12 | 2004 | 32 | |
| 13 | 2003 | 9 |
About Jaime Darce
Jaime Darce is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Hematology, having authored 13 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Signaling Pathways in Disease (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (1.8k citations), Hematology (298 citations), Rheumatology (364 citations), Gastroenterology (124 citations) and Biological Psychiatry (55 citations). Jaime Darce has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Diane Mathis, Christophe Benoıst, Diane F. Jelinek, Ivaylo I. Ivanov, Dan R. Littman, Hsin-Jung Wu, Kimie Hattori, Tatsuichiro Shima, Yoshinori Umesaki and Bonnie K. Arendt. Their work appears in journals such as Blood, Science, The Journal of Immunology, Immunity 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.