P. Stávek

36 papers receiving 605 citations

Peers

P. Stávek
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 151
  • Cardiology and Cardiovascular Medicine 183
  • Physiology 126
  • Epidemiology 163
  • Surgery 172
Replace Aída Medina-Urrutia with:
Aída Medina-Urrutia Mexico
Ako Fukami Japan
Pathmaja Paramsothy United States
Kathleen M. Weil United States
Coimbatore Subramanian Shanthirani India
Sean Heffron United States
G. Berglund Sweden
Valeria Maddaloni Italy
John Michael Gaziano United States
Esteban Jorge‐Galarza Mexico
P. Stávek relative to Aída Medina-Urrutia Mexico Aída Medina-Urrutia's profile →
Citations per field
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Aída Medina-Urrutia · 1×
Citations per year

Countries citing papers authored by P. Stávek

Since Specialization
Citations

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

Fields of papers citing papers by P. Stávek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010117
2 200678
3 201051
4 200845
5
Which index best correlates with body fat mass: BAI, BMI, waist or WHR?
201241
6 202031
7 200921
8
Variable expression of hypercholesterolemia in Apolipoprotein E2* (Arg136 --> Cys) heterozygotes.
200019
9
Possible effect of DHA intake on body weight reduction and lipid metabolism in obese children.
201118
10 201118
11 200215
12 201714
13 200014
14 201012
15 200712
16 201412
17 199911
18 201510
19 201410
20 20009

About P. Stávek

P. Stávek is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 39 papers that have together received 628 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Obesity, Physical Activity, Diet (6 papers), Nutritional Studies and Diet (5 papers), Cancer, Lipids, and Metabolism (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Blood Pressure and Hypertension Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (151 citations), Cardiology and Cardiovascular Medicine (183 citations), Physiology (126 citations), Epidemiology (163 citations) and Surgery (172 citations). P. Stávek has collaborated with scholars based in Czechia, United States and Russia. Frequent co-authors include R. Poledne, Pavel Suchánek, Ivana Králová Lesná, Renata Cífková, Jaroslav A. Hubáček, Jan Piťha, Peter Wohlfahrt, Alena Krajčoviechová, Marie Jozífová and Jan Bruthans. Their work appears in journals such as Physiological Research, Atherosclerosis Supplements, Atherosclerosis, Clinical Chemistry and Laboratory Medicine (CCLM) and International Journal 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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