Jonathan M. Han
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Atherosclerosis and Cardiovascular Diseases
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 4
- Atherosclerosis and Cardiovascular Diseases 2
- Immunodeficiency and Autoimmune Disorders 1
- IL-33, ST2, and ILC Pathways 1
-
- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Megan K. Levings (9 shared papers)Scott J. Patterson (3 shared papers)Dan Wu (3 shared papers)Madeleine Speck (1 shared paper)Heather C. Denroche (1 shared paper)Jan A. Ehses (1 shared paper)Yu Yao (1 shared paper)C. Bruce Verchere (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)Journal of Clinical Investigation (1 paper)European Journal of Immunology (1 paper)International Reviews of Immunology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Jonathan M. Han
9 papers receiving 740 citations
Peers
Comparison fields: 5 of 74
- Immunology 419
- Epidemiology 214
- Physiology 135
- Biological Psychiatry 8
- Rehabilitation 18
Countries citing papers authored by Jonathan M. Han
This map shows the geographic impact of Jonathan M. Han'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 Jonathan M. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Han more than expected).
Fields of papers citing papers by Jonathan M. Han
This network shows the impact of papers produced by Jonathan M. Han. 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 Jonathan M. Han. The network helps show where Jonathan M. Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Han, 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 | 2015 | 157 | |
| 2 | 2013 | 132 | |
| 3 | 2013 | 119 | |
| 4 | 2012 | 95 | |
| 5 | 2014 | 74 | |
| 6 | 2011 | 58 | |
| 7 | 2018 | 44 | |
| 8 | 2020 | 34 | |
| 9 | 2013 | 34 |
About Jonathan M. Han
Jonathan M. Han is a scholar working on Immunology, Epidemiology, Molecular Biology, Physiology and Infectious Diseases, having authored 9 papers that have together received 747 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), T-cell and B-cell Immunology (4 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Immunology (419 citations), Epidemiology (214 citations), Physiology (135 citations), Biological Psychiatry (8 citations) and Rehabilitation (18 citations). Jonathan M. Han has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Megan K. Levings, Scott J. Patterson, Dan Wu, Madeleine Speck, Heather C. Denroche, Jan A. Ehses, Yu Yao, C. Bruce Verchere, Jens Vent‐Schmidt and Katherine G. MacDonald. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, European Journal of Immunology, International Reviews of Immunology and Frontiers in 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.