David Karásek

1.4k citations
91 papers · 746 · h-index 16

Impact in

Papers in

David Karásek

78 papers receiving 720 citations

Peers

David Karásek
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 189
  • Nephrology 42
  • Cardiology and Cardiovascular Medicine 99
  • Epidemiology 149
  • Surgery 190
Replace Jenie Yoonoo Hwang with:
Jenie Yoonoo Hwang South Korea
Giray Bozkaya Türkiye
Cevdet Duran Türkiye
N.J. van der Zijl Netherlands
Yi-Jen Hung Taiwan
Kan Saito Japan
Maja Cigrovski Berković Croatia
Sung Jig Lim South Korea
Enric Caubet Spain
Ding Ding China
David Karásek relative to Jenie Yoonoo Hwang South Korea Jenie Yoonoo Hwang's profile →
Citations per field
00.5×1.5×1.8×
Jenie Yoonoo Hwang · 1×
Citations per year

Countries citing papers authored by David Karásek

Since Specialization
Citations

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

Fields of papers citing papers by David Karásek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202166
2 201043
3 201243
4 201738
5 201734
6 201430
7 202223
8 200723
9 201523
10 201722
11 200919
12 201518
13 201917
14 201817
15 200516
16 201015
17 202113
18 200813
19 201912
20 201912

About David Karásek

David Karásek is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 91 papers that have together received 746 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (18 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Ophthalmology and Eye Disorders (8 papers), Cardiovascular Health and Disease Prevention (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer, Lipids, and Metabolism (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Nephrology (42 citations), Cardiology and Cardiovascular Medicine (99 citations), Epidemiology (149 citations) and Surgery (190 citations). David Karásek has collaborated with scholars based in Czechia, Canada and United States. Frequent co-authors include H Vaverková, Zdeněk Fryšák, Ľubica Cibičková, Jan Schovánek, Karel Pacák, Luděk Slavík, Kateřina Langová, Josef Zadražil, Constantine A. Stratakis and Urvi A. Shah. Their work appears in journals such as Physiological Research, Clinical Biochemistry, Journal of clinical lipidology, Metabolic Syndrome and Related Disorders and Journal of Applied Biomedicine.

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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