J. Kovář

811 citations
65 papers · 650 · h-index 15

Impact in

Papers in

J. Kovář

59 papers receiving 640 citations

Peers

J. Kovář
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 174
  • Surgery 161
  • Cardiology and Cardiovascular Medicine 78
  • Nutrition and Dietetics 57
  • Epidemiology 115
Replace Zhenmei An with:
Zhenmei An China
Noemí Cabré Spain
Yoshihide Yamanashi Japan
Patrick M. Hutchins United States
Achmad Rudijanto Indonesia
Vanna Fierabracci Italy
Ana Carolina Moron Gagliardi Brazil
Audrey Langlois France
Amélie I. S. Sobczak United Kingdom
Ana M. Bea Spain
J. Kovář relative to Zhenmei An China Zhenmei An's profile →
Citations per field
00.5×1.5×2.2×
Zhenmei An · 1×
Citations per year

Countries citing papers authored by J. Kovář

Since Specialization
Citations

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

Fields of papers citing papers by J. Kovář

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200845
2 201241
3 200035
4 201028
5
The A-204C polymorphism in the cholesterol 7alpha-hydroxylase (CYP7A1) gene determines the cholesterolemia responsiveness to a high-fat diet.
200428
6 200424
7 201523
8 201522
9 201322
10 201520
11 200919
12 200217
13 200017
14 201116
15 200815
16 200614
17 199114
18 200414
19 197613
20 200912

About J. Kovář

J. Kovář is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology, having authored 65 papers that have together received 650 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Liver Disease Diagnosis and Treatment (11 papers), Lipid metabolism and disorders (10 papers), Diet, Metabolism, and Disease (9 papers), Cancer, Lipids, and Metabolism (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Metabolism, Diabetes, and Cancer (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Surgery (161 citations), Cardiology and Cardiovascular Medicine (78 citations), Nutrition and Dietetics (57 citations) and Epidemiology (115 citations). J. Kovář has collaborated with scholars based in Czechia, Russia and United States. Frequent co-authors include R. Poledne, Jan Piťha, Jaroslav A. Hubáček, Pavel Suchánek, Ivana Králová Lesná, P. Stávek, Martin Leníček, Libor Vı́tek, M Jirsa and Stanislav Pavelka. Their work appears in journals such as Physiological Research, Atherosclerosis, Journal of Lipid Research, Metabolism and Nutrition Metabolism and Cardiovascular Diseases.

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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