Teus van Gent

50 papers receiving 1.7k citations

Peers

Teus van Gent
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 734
  • Biochemistry 181
  • Cancer Research 340
  • Surgery 709
  • Clinical Biochemistry 82
Replace Allen D. Cooper with:
Allen D. Cooper United States
Fumihiko Matsuura Japan
Ba‐Bie Teng United States
J C Fruchart France
Christian Lallemant France
J M Hoeg United States
Natalie Fournier France
Vincent A. Rifici United States
Y L Marcel Canada
Y Oschry Israel
Teus van Gent relative to Allen D. Cooper United States Allen D. Cooper's profile →
Citations per field
00.5×1.6×
Allen D. Cooper · 1×
Citations per year

Countries citing papers authored by Teus van Gent

Since Specialization
Citations

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

Fields of papers citing papers by Teus van Gent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teus van Gent. 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 Teus van Gent. The network helps show where Teus van Gent may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000181
2 2002112
3 198089
4 200277
5 199574
6 200466
7 197863
8 198158
9 200154
10 201253
11 199852
12 199851
13 198151
14 198049
15 197845
16 200442
17 201342
18 198941
19 200141
20 200441

About Teus van Gent

Teus van Gent is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cancer Research and Epidemiology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Cancer, Lipids, and Metabolism (15 papers), Cholesterol and Lipid Metabolism (14 papers), Lipoproteins and Cardiovascular Health (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Fatty Acid Research and Health (5 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (734 citations), Biochemistry (181 citations), Cancer Research (340 citations), Surgery (709 citations) and Clinical Biochemistry (82 citations). Teus van Gent has collaborated with scholars based in Netherlands, Finland and United States. Frequent co-authors include Arie van Tol, Rien van Haperen, Rini de Crom, L.M. Scheek, Frank Grosveld, Hans Jansen, Matti Jauhiainen, Theo J.C. van Berkel, J. Kar Kruijt and H. Hendriks. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Biochemical Journal, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Advances in experimental medicine and biology.

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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