James A. Pearson
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Genetics top 5%
- Diabetes and associated disorders
Papers in
- Genetics 27
- Diabetes and associated disorders 27
- Immunology 20
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 6
- Co-authors
- F. Susan Wong (31 shared papers)Wen Li (27 shared papers)Yangyang Li (5 shared papers)Zhiguang Zhou (7 shared papers)Changyun Hu (3 shared papers)Ningwen Tai (7 shared papers)Xiaojun Zhang (2 shared papers)Jian Peng (9 shared papers)
- Journals
- Frontiers in Immunology (7 papers)Diabetologia (5 papers)Diabetes (5 papers)Journal of Autoimmunity (3 papers)JCI Insight (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
James A. Pearson
37 papers receiving 855 citations
Peers
Comparison fields: 5 of 87
- Immunology 268
- Genetics 351
- Endocrinology, Diabetes and Metabolism 151
- Biological Psychiatry 19
- Endocrine and Autonomic Systems 45
Countries citing papers authored by James A. Pearson
This map shows the geographic impact of James A. Pearson'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 James A. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Pearson more than expected).
Fields of papers citing papers by James A. Pearson
This network shows the impact of papers produced by James A. Pearson. 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 James A. Pearson. The network helps show where James A. Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside James A. Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 205 | |
| 2 | 2015 | 111 | |
| 3 | 2020 | 68 | |
| 4 | 2018 | 48 | |
| 5 | 2020 | 35 | |
| 6 | 2018 | 33 | |
| 7 | 2019 | 33 | |
| 8 | 2021 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2016 | 21 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2016 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 11 |
About James A. Pearson
James A. Pearson is a scholar working on Genetics, Immunology, Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 863 indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Immune Cell Function and Interaction (17 papers), Gut microbiota and health (9 papers), Pancreatic function and diabetes (8 papers), Diabetes Management and Research (7 papers), T-cell and B-cell Immunology (6 papers), Circadian rhythm and melatonin (3 papers) and Dietary Effects on Health (3 papers). The work is most often cited by research in Immunology (268 citations), Genetics (351 citations), Endocrinology, Diabetes and Metabolism (151 citations), Biological Psychiatry (19 citations) and Endocrine and Autonomic Systems (45 citations). James A. Pearson has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include F. Susan Wong, Wen Li, Yangyang Li, Zhiguang Zhou, Changyun Hu, Ningwen Tai, Xiaojun Zhang, Jian Peng, Richard A. Flavell and Heyuan Ding. Their work appears in journals such as Frontiers in Immunology, Diabetologia, Diabetes, Journal of Autoimmunity and JCI Insight.
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.