Brian Van Yserloo

966 citations
21 papers · 738 · h-index 13

Impact in

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2
    • Pancreatic function and diabetes 3

Brian Van Yserloo

21 papers receiving 710 citations

Peers

Brian Van Yserloo
Comparison fields: 5 of 80
  • Immunology 156
  • Endocrinology, Diabetes and Metabolism 99
  • Genetics 170
  • Physiology 117
  • Epidemiology 123
Replace Damien V. Cordery with:
Damien V. Cordery Australia
Mali Ketzinel‐Gilad Israel
Yasunori Shibutani Japan
V. E. Eysselein United States
Fuyan Sun Japan
Jessica L. Schwartz United States
James A. Pearson United Kingdom
Satomi Hashimoto Japan
Sandra Imholz Netherlands
David Díaz-Jiménez Chile
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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 2002187
2 200971
3 201759
4
Relationship of ovesity and disease in 73,532 weight-conscious women.
197559
5 201450
6 200545
7 201640
8 201636
9 200433
10 201330
11 201322
12 200617
13 200714
14 201612
15 200511
16 200910
17 20099
18 20119
19 20078
20 20178

About Brian Van Yserloo

Brian Van Yserloo is a scholar working on Immunology, Surgery, Genetics, Epidemiology and Molecular Biology, having authored 21 papers that have together received 738 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Immunotherapy and Immune Responses (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Immunology (156 citations), Endocrinology, Diabetes and Metabolism (99 citations), Genetics (170 citations), Physiology (117 citations) and Epidemiology (123 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, Alfred A. Rimm, Daniel H. Moralejo, Anne E. Kwitek, Ruth A. Ettinger and Jessica N. Kuzma. Their work appears in journals such as Physiological Genomics, Journal of Autoimmunity, Life Sciences, Obesity and Journal of Nutrition.

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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