J. Kovář

803 citations
64 papers · 641 indexed · h-index 15

J. Kovář

59 papers receiving 630 citations

Peers

J. Kovář
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 232
  • Surgery 212
  • Cardiology and Cardiovascular Medicine 107
  • Nutrition and Dietetics 68
  • Epidemiology 151
Replace Pei-Ran Wang with:
Pei-Ran Wang United States
Ana Carolina Moron Gagliardi Brazil
Audrey Langlois France
Vanna Fierabracci Italy
Zihui Xu China
Achmad Rudijanto Indonesia
Yoshihide Yamanashi Japan
A Vrána Czechia
Noemí Cabré Spain
Fred L. Johnson United States
J. Kovář relative to Pei-Ran Wang United States Pei-Ran Wang's profile →
Citations per field
00.5×3.3×
Pei-Ran Wang · 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-authorship network

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
#Work
1 20246
2 20241
3 20194
4 201811
5
Dynamická in vivo ³¹P MR spektroskopie člověka
20170
6 20178
7 20165
8 20144
9
The association between subclinical atherosclerosis in carotid arteries and Connexin 37 gene polymorphism (1019C>T; Pro319Ser) in women.
20116
10 200912
11 200815
12 20077
13 20076
14 20068
15 200614
16 200424
17 200410
18 19914
19 199114
20 19872

About J. Kovář

J. Kovář is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Epidemiology, having authored 64 papers that have together received 641 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (15 papers), Liver Disease Diagnosis and Treatment (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Lipid metabolism and disorders (10 papers), Cancer, Lipids, and Metabolism (10 papers), Diet, Metabolism, and Disease (10 papers), Lipoproteins and Cardiovascular Health (9 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (232 citations), Surgery (212 citations), Cardiology and Cardiovascular Medicine (107 citations), Nutrition and Dietetics (68 citations) and Epidemiology (151 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, M Jirsa, Libor Vı́tek and Stanislav Pavelka. Their work appears in journals such as Physiological Research, Atherosclerosis, Journal of Lipid Research, Atherosclerosis Supplements 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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2026