Teus van Gent

2.1k citations
51 papers · 1.8k · h-index 29

Impact in

Papers in

Teus van Gent

50 papers receiving 1.7k citations

Peers

Teus van Gent
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 815
  • Biochemistry 211
  • Cancer Research 390
  • Surgery 839
  • Clinical Biochemistry 96
Replace Allen D. Cooper with:
Allen D. Cooper United States
Fumihiko Matsuura Japan
J C Fruchart France
Ba‐Bie Teng United States
Christian Lallemant France
Hans Jansen Netherlands
Natalie Fournier France
Y Oschry Israel
J M Hoeg United States
Michael Reardon Australia
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 2000177
2 2002111
3 198088
4 200274
5 199568
6 200465
7 197862
8 198155
9 200153
10 201251
11 199850
12 199848
13 198148
14 198046
15 197845
16 200442
17 198941
18 200440
19 201340
20 200139

About Teus van Gent

Teus van Gent is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, 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 (23 papers), Cancer, Lipids, and Metabolism (16 papers), Cholesterol and Lipid Metabolism (16 papers), Lipoproteins and Cardiovascular Health (14 papers), Liver Disease Diagnosis and Treatment (11 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Lipid metabolism and biosynthesis (6 papers) and Fatty Acid Research and Health (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (815 citations), Biochemistry (211 citations), Cancer Research (390 citations), Surgery (839 citations) and Clinical Biochemistry (96 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, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Biochemical Journal and Blood.

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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