Brian Van Yserloo
Impact in
-
- Adipokines, Inflammation, and Metabolic Diseases
-
- Diabetes and associated disorders
- Genetic Associations and Epidemiology
Papers in
- Genetics 8
- Diabetes and associated disorders 7
-
- T-cell and B-cell Immunology 3
- Co-authors
- Mario Kratz (6 shared papers)Elizabeth A. Rutledge (10 shared papers)Derek K. Hagman (5 shared papers)Åke Lernmark (9 shared papers)Alfred A. Rimm (1 shared paper)Jessica N. Kuzma (3 shared papers)Karen E. Foster‐Schubert (3 shared papers)Karin Bornfeldt (2 shared papers)
- Journals
- Journal of Autoimmunity (2 papers)Physiological Genomics (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Life Sciences (1 paper)Journal of Molecular Endocrinology (1 paper)
- Partner nations
- United StatesSwedenNetherlands
In The Last Decade
Brian Van Yserloo
22 papers receiving 579 citations
Peers
Comparison fields: 5 of 75
- Epidemiology 96
- Genetics 85
- Immunology 54
- Endocrinology, Diabetes and Metabolism 40
- Surgery 100
Countries citing papers authored by Brian Van Yserloo
This map shows the geographic impact of Brian Van Yserloo'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 Brian Van Yserloo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Van Yserloo more than expected).
Fields of papers citing papers by Brian Van Yserloo
This network shows the impact of papers produced by Brian Van Yserloo. 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 Brian Van Yserloo. The network helps show where Brian Van Yserloo may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Van Yserloo, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 75 | |
| 2 | 2017 | 62 | |
| 3 | Relationship of ovesity and disease in 73,532 weight-conscious women. | 1975 | 58 |
| 4 | 2014 | 55 | |
| 5 | 2005 | 49 | |
| 6 | 2016 | 42 | |
| 7 | 2016 | 41 | |
| 8 | 2013 | 33 | |
| 9 | 2004 | 32 | |
| 10 | 2012 | 23 | |
| 11 | 2013 | 22 | |
| 12 | 2005 | 17 | |
| 13 | 2007 | 14 | |
| 14 | 2016 | 14 | |
| 15 | 2005 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2009 | 9 | |
| 18 | 2011 | 9 | |
| 19 | 2005 | 8 | |
| 20 | 2007 | 8 |
About Brian Van Yserloo
Brian Van Yserloo is a scholar working on Genetics, Immunology, Surgery, Epidemiology and Clinical Biochemistry, having authored 22 papers that have together received 604 indexed citations. Recurring topics across this work include Diabetes and associated disorders (7 papers), T-cell and B-cell Immunology (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Bariatric Surgery and Outcomes (2 papers), Pancreatic function and diabetes (2 papers), HIV-related health complications and treatments (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Epidemiology (96 citations), Genetics (85 citations), Immunology (54 citations), Endocrinology, Diabetes and Metabolism (40 citations) and Surgery (100 citations). Brian Van Yserloo has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Mario Kratz, Elizabeth A. Rutledge, Derek K. Hagman, Åke Lernmark, Alfred A. Rimm, Jessica N. Kuzma, Karen E. Foster‐Schubert, Karin Bornfeldt, Jessica M. Fuller and David E. Cummings. Their work appears in journals such as Journal of Autoimmunity, Physiological Genomics, Diagnostic Microbiology and Infectious Disease, Life Sciences and Journal of Molecular Endocrinology.
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.