Brian Van Yserloo

961 citations
21 papers · 705 · h-index 13

Impact in

Papers in

    • Pancreatic function and diabetes 4
    • Bariatric Surgery and Outcomes 2
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4

Brian Van Yserloo

21 papers receiving 686 citations

Peers

Brian Van Yserloo
Comparison fields: 5 of 81
  • Immunology 175
  • Endocrinology, Diabetes and Metabolism 100
  • Genetics 166
  • Physiology 141
  • Epidemiology 159
Replace Mali Ketzinel‐Gilad with:
Mali Ketzinel‐Gilad Israel
Damien V. Cordery Australia
S. Adi United States
Jessica L. Schwartz United States
Sandra Imholz Netherlands
James A. Pearson United Kingdom
Yasunori Shibutani Japan
V. E. Eysselein United States
Kiki Schraa Netherlands
Qiao Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Brian Van Yserloo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Brian Van Yserloo Line = papers co-authored together Brian Van Yserloo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002173
2 200969
3 201756
4
Relationship of ovesity and disease in 73,532 weight-conscious women.
197554
5 201450
6 200543
7 201640
8 201636
9 200433
10 201329
11 201322
12 200616
13 201612
14 200712
15 200510
16 200910
17 20119
18 20099
19 20178
20 20057

About Brian Van Yserloo

Brian Van Yserloo is a scholar working on Surgery, Immunology, Epidemiology, Genetics and Molecular Biology, having authored 21 papers that have together received 705 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Pancreatic function and diabetes (4 papers), T-cell and B-cell Immunology (4 papers), Diabetes and associated disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Cardiovascular Disease and Adiposity (2 papers), Bariatric Surgery and Outcomes (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Immunology (175 citations), Endocrinology, Diabetes and Metabolism (100 citations), Genetics (166 citations), Physiology (141 citations) and Epidemiology (159 citations). Brian Van Yserloo has collaborated with scholars based in United States, Netherlands and Sweden. Frequent co-authors include Elizabeth A. Rutledge, Åke Lernmark, Jessica Fuller, Mario Kratz, Derek Hagman, Daniel H. Moralejo, Anne E. Kwitek, Alfred A. Rimm, Ruth A. Ettinger and Jessica N. Kuzma. Their work appears in journals such as Journal of Autoimmunity, Physiological Genomics, Endocrinology, Journal of Leukocyte Biology and Biochemical Journal.

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.

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