Mitchell Bijnen

899 citations
18 papers · 630 · h-index 10

Impact in

  • Epidemiology top 10%
    • Adipokines, Inflammation, and Metabolic Diseases
    • Liver Disease Diagnosis and Treatment
    • MicroRNA in disease regulation

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 8
    • Liver Disease Diagnosis and Treatment 5
    • Immune Cell Function and Interaction 4
    • Immune cells in cancer 4

Mitchell Bijnen

17 papers receiving 630 citations

Peers

Mitchell Bijnen
Comparison fields: 5 of 76
  • Epidemiology 245
  • Cancer Research 91
  • Physiology 133
  • Cardiology and Cardiovascular Medicine 110
  • Immunology 100
Replace Ángela Vinué with:
Ángela Vinué Spain
Yuri Shimoda Japan
Daria Skuratovskaia Russia
Hangxiang Zhang China
Ammar Kurdi Belgium
Ori Nov Israel
Tharini Sivasubramaniyam Canada
Christine Podrini United Kingdom
Iurii Stafeev Russia
Mitchell Bijnen relative to Ángela Vinué Spain Ángela Vinué's profile →
Citations per field
00.5×1.5×2.3×
Ángela Vinué · 1×
Citations per year

Countries citing papers authored by Mitchell Bijnen

Since Specialization
Citations

This map shows the geographic impact of Mitchell Bijnen'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 Mitchell Bijnen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Bijnen more than expected).

Fields of papers citing papers by Mitchell Bijnen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mitchell Bijnen. 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 Mitchell Bijnen. The network helps show where Mitchell Bijnen may publish in the future.

Co-authors

The 25 scholars most cited alongside Mitchell Bijnen, 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 Mitchell Bijnen Line = papers co-authored together Mitchell Bijnen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2018186
2 2017138
3 2017105
4 201769
5 202028
6 201821
7 201718
8 201913
9 202111
10 20249
11 20249
12 20187
13 20186
14 20245
15 20203
16 20191
17 20181
18 20140

About Mitchell Bijnen

Mitchell Bijnen is a scholar working on Epidemiology, Immunology, Cancer Research, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 18 papers that have together received 630 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), Immune cells in cancer (4 papers), Diabetes and associated disorders (2 papers), Advanced Glycation End Products research (2 papers), MicroRNA in disease regulation (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Epidemiology (245 citations), Cancer Research (91 citations), Physiology (133 citations), Cardiology and Cardiovascular Medicine (110 citations) and Immunology (100 citations). Mitchell Bijnen has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Kristiaan Wouters, Casper G. Schalkwijk, Coen D.A. Stehouwer, Suzan Wetzels, Johan W. E. Jocken, Dominique Hansen, Ellen E. Blaak, Katrien H.J. Gaens, Kenneth Verboven and Erwin Wijnands. Their work appears in journals such as Scientific Reports, Trends in Immunology, Journal of Visualized Experiments, Atherosclerosis and Journal of Hepatology.

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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