J.A. Gevers Leuven

2.9k citations
69 papers · 2.4k indexed · h-index 27
Topics
Lipoproteins and Cardiovascular Health (32 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers)Cancer, Lipids, and Metabolism (13 papers)

In The Last Decade

J.A. Gevers Leuven

67 papers receiving 2.3k citations

Peers

J.A. Gevers Leuven
Comparison fields: 5 of 115
  • Surgery 1.2k
  • Endocrinology, Diabetes and Metabolism 851
  • Molecular Biology 523
  • Cardiology and Cardiovascular Medicine 345
  • Cancer Research 324
Replace Hideki Hidaka with:
Hideki Hidaka Japan
Lillemor Mattsson Hultén Sweden
Gunnar Fager Sweden
V. Atger France
Toshiyuki Kita Japan
Debra L. Rateri United States
M. J. Mitchinson United Kingdom
Jung Han Kim South Korea
B Jacotot France
Anne Hermanowski‐Vosatka United States
J.A. Gevers Leuven relative to Hideki Hidaka Japan Hideki Hidaka's profile →
Citations per field
00.5×1.7×
Hideki Hidaka · 1×
Citations per year

Countries citing papers authored by J.A. Gevers Leuven

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Gevers Leuven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Gevers Leuven. 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 J.A. Gevers Leuven. The network helps show where J.A. Gevers Leuven may publish in the future.

Co-authorship network of co-authors of J.A. Gevers Leuven

This figure shows the co-authorship network connecting the top 25 collaborators of J.A. Gevers Leuven. A scholar is included among the top collaborators of J.A. Gevers Leuven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.A. Gevers Leuven. J.A. Gevers Leuven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 42
2 15
3 4
4 14
5 35
6 16
7 36
8 2
9 168
10 26
11 8
12 5
13 15
14
Diverse effects of the Dutch guidelines for a healthy diet on serum lipids of male patients with type IIA and type IIB hyperlipoproteinemia
4
15 84
16 23
17 56
18 8
19 48
20 68

About J.A. Gevers Leuven

J.A. Gevers Leuven is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 69 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (32 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers) and Cancer, Lipids, and Metabolism (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (851 citations), Biochemistry (222 citations) and Surgery (1.2k citations). J.A. Gevers Leuven has collaborated with scholars based in Netherlands, United Kingdom and Sweden. Frequent co-authors include H.J.M. Kempen, Louis M. Havekes, Arnoud van der Laarse, H.A. van der Voort, Jan F. C. Glatz, Mira Katan, Anton F. H. Stalenhoef, H. M. J. Krans, M.J.T.M. Mol and Cornelis Kluft. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and Advanced Functional Materials.

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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