H.‐Michael Dosch
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
- T-cell and B-cell Immunology
- Epidemiology top 1%
- Adipokines, Inflammation, and Metabolic Diseases
Papers in
- Co-authors
- Hubert Tsui (9 shared papers)Shawn Winer (10 shared papers)Daniel A. Winer (4 shared papers)Edgar G. Engleman (3 shared papers)Yin Chan (3 shared papers)Geoffrey Paltser (2 shared papers)Yongqian Wang (1 shared paper)Julian Zielenski (1 shared paper)
- Journals
- Nature Medicine (3 papers)Diabetes (3 papers)The Journal of Immunology (2 papers)European Journal of Immunology (2 papers)Diabetes Care (1 paper)
- Partner nations
- CanadaUnited StatesFinland
In The Last Decade
H.‐Michael Dosch
17 papers receiving 2.9k citations
H.‐Michael Dosch's Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 1.1k
- Epidemiology 1.3k
- Physiology 811
- Genetics 674
- Endocrinology, Diabetes and Metabolism 312
Countries citing papers authored by H.‐Michael Dosch
This map shows the geographic impact of H.‐Michael Dosch'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 H.‐Michael Dosch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.‐Michael Dosch more than expected).
Fields of papers citing papers by H.‐Michael Dosch
This network shows the impact of papers produced by H.‐Michael Dosch. 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 H.‐Michael Dosch. The network helps show where H.‐Michael Dosch may publish in the future.
Co-authors
The 25 scholars most cited alongside H.‐Michael Dosch, 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 | Normalization of obesity-associated insulin resistance through immunotherapy Hit paper breakdown → | 2009 | 1110 |
| 2 | B cells promote insulin resistance through modulation of T cells and production of pathogenic IgG antibodies Hit paper breakdown → | 2011 | 823 |
| 3 | 2009 | 303 | |
| 4 | 1994 | 226 | |
| 5 | 2003 | 165 | |
| 6 | 2001 | 75 | |
| 7 | 2007 | 54 | |
| 8 | 2002 | 41 | |
| 9 | 1994 | 28 | |
| 10 | 2002 | 26 | |
| 11 | 1997 | 20 | |
| 12 | 1997 | 16 | |
| 13 | 2010 | 15 | |
| 14 | 2003 | 10 | |
| 15 | 2014 | 5 | |
| 16 | 2003 | 5 | |
| 17 | 1981 | 1 |
About H.‐Michael Dosch
H.‐Michael Dosch is a scholar working on Genetics, Surgery, Immunology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 17 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes and associated disorders (12 papers), Pancreatic function and diabetes (6 papers), Immune Cell Function and Interaction (4 papers), Diabetes Management and Research (3 papers), T-cell and B-cell Immunology (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Obesity, Physical Activity, Diet (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Immunology (1.1k citations), Epidemiology (1.3k citations), Physiology (811 citations), Genetics (674 citations) and Endocrinology, Diabetes and Metabolism (312 citations). H.‐Michael Dosch has collaborated with scholars based in Canada, United States and Finland. Frequent co-authors include Hubert Tsui, Shawn Winer, Daniel A. Winer, Edgar G. Engleman, Yin Chan, Geoffrey Paltser, Yongqian Wang, Julian Zielenski, Ruslan Dorfman and Daniel J. Drucker. Their work appears in journals such as Nature Medicine, Diabetes, The Journal of Immunology, European Journal of Immunology and Diabetes Care.
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.