G. Kees Hovingh

30.7k citations
76 papers · 3.4k indexed · h-index 30

G. Kees Hovingh

73 papers receiving 3.3k citations

Peers

G. Kees Hovingh
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Surgery 2.1k
  • Cardiology and Cardiovascular Medicine 1.0k
  • Cancer Research 646
  • Immunology 284
Replace Na‐Qiong Wu with:
Na‐Qiong Wu China
James H. Revkin United States
Yuan‐Lin Guo China
Michel Komajda France
Rui‐Xia Xu China
Mieke D. Trip Netherlands
Cheng‐Gang Zhu China
Claude Gagné Canada
Albert Wiegman Netherlands
Akihiro Inazu Japan
G. Kees Hovingh relative to Na‐Qiong Wu China Na‐Qiong Wu's profile →
Citations per field
00.5×1.5×1.8×
Na‐Qiong Wu · 1×
Citations per year

Countries citing papers authored by G. Kees Hovingh

Since Specialization
Citations

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

Fields of papers citing papers by G. Kees Hovingh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Kees Hovingh. 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 G. Kees Hovingh. The network helps show where G. Kees Hovingh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20222
3 20223
4 202144
5 202110
6 20211
7 2020115
8 202016
9 202025
10 201915
11 20193
12 201748
13 20161
14
Adherence to guidelines to prevent cardiovascular diseases: The LifeLines cohort study.
201518
15 201532
16 201411
17 201429
18 20111
19 200453
20 200233

About G. Kees Hovingh

G. Kees Hovingh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 76 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (63 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (27 papers), Cancer, Lipids, and Metabolism (14 papers), Cholesterol and Lipid Metabolism (13 papers), Pharmaceutical Economics and Policy (10 papers), Lipid metabolism and disorders (8 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Surgery (2.1k citations) and Cardiology and Cardiovascular Medicine (1.0k citations). G. Kees Hovingh has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include John J.P. Kastelein, S. Matthijs Boekholdt, Albert Wiegman, Erik S.G. Stroes, Eric de Groot, Patrick Duriez, Jean‐Charles Fruchart, Andries J. Smit, Anne O’Connor and Michael H. Davidson. Their work appears in journals such as Atherosclerosis, Journal of clinical lipidology, Current Opinion in Lipidology, European Heart Journal and Journal of the American College of Cardiology.

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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