Lesley Pasman
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
Papers in
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- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- IL-33, ST2, and ILC Pathways 2
- Immune Response and Inflammation 2
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- Clostridium difficile and Clostridium perfringens research 2
- Co-authors
- Dennis L. Kasper (3 shared papers)Ray Jupp (2 shared papers)Esen Sefik (2 shared papers)Adriana Ortiz-Lopez (2 shared papers)Diane Mathis (2 shared papers)Christophe Benoıst (2 shared papers)Naama Geva‐Zatorsky (2 shared papers)Tze Guan Tan (2 shared papers)
- Journals
- Immunity (2 papers)Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)Immunological Reviews (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Lesley Pasman
8 papers receiving 1.3k citations
Lesley Pasman's Hit Papers
Peers
Comparison fields: 5 of 95
- Biological Psychiatry 88
- Immunology 434
- Infectious Diseases 316
- Gastroenterology 77
- Molecular Biology 714
Countries citing papers authored by Lesley Pasman
This map shows the geographic impact of Lesley Pasman'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 Lesley Pasman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lesley Pasman more than expected).
Fields of papers citing papers by Lesley Pasman
This network shows the impact of papers produced by Lesley Pasman. 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 Lesley Pasman. The network helps show where Lesley Pasman may publish in the future.
Co-authors
The 25 scholars most cited alongside Lesley Pasman, 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 | Mining the Human Gut Microbiota for Immunomodulatory Organisms Hit paper breakdown → | 2017 | 535 |
| 2 | Identifying species of symbiont bacteria from the human gut that, alone, can induce intestinal Th17 cells in mice Hit paper breakdown → | 2016 | 328 |
| 3 | 2013 | 213 | |
| 4 | 2014 | 119 | |
| 5 | 2014 | 99 | |
| 6 | The complication of coinfection. | 2012 | 19 |
| 7 | 2017 | 16 | |
| 8 | 2014 | 4 |
About Lesley Pasman
Lesley Pasman is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Epidemiology and Oncology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Immune Response and Inflammation (2 papers), Gut microbiota and health (2 papers), Cancer Immunotherapy and Biomarkers (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Biological Psychiatry (88 citations), Immunology (434 citations), Infectious Diseases (316 citations), Gastroenterology (77 citations) and Molecular Biology (714 citations). Lesley Pasman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Dennis L. Kasper, Ray Jupp, Esen Sefik, Adriana Ortiz-Lopez, Diane Mathis, Christophe Benoıst, Naama Geva‐Zatorsky, Tze Guan Tan, Lindsay Kua and Ruslan Medzhitov. Their work appears in journals such as Immunity, Cell, Proceedings of the National Academy of Sciences, Science and Immunological Reviews.
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.