Tomáš Štulc

1.3k citations
58 papers · 1.0k · h-index 16

Impact in

Papers in

Tomáš Štulc

56 papers receiving 968 citations

Peers

Tomáš Štulc
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 195
  • Family Practice 20
  • Surgery 476
  • Cancer Research 97
  • Cardiology and Cardiovascular Medicine 138
Replace Melchior C. Nierman with:
Melchior C. Nierman Netherlands
David Neff United States
Fumimaro Takatsu Japan
Ricardo Dent United States
Annie St‐Pierre Canada
Peter C.Y. Tong Hong Kong
In Suck Choi South Korea
P Schaffer France
D. P. Mikhailidis United Kingdom
Stephen W. Halpern United States
Tomáš Štulc relative to Melchior C. Nierman Netherlands Melchior C. Nierman's profile →
Citations per field
00.5×1.5×2.0×
Melchior C. Nierman · 1×
Citations per year

Countries citing papers authored by Tomáš Štulc

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Štulc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000265
2 2016148
3 201447
4 201045
5 201542
6 200430
7 200329
8 200728
9 200427
10 200127
11
Microvascular reactivity in patients with hypercholesterolemia: effect of lipid lowering treatment.
200326
12 200323
13 200721
14 200320
15 200018
16 200817
17 200913
18
Statin intolerance: the clinician’s perspective
201612
19 200611
20 200811

About Tomáš Štulc

Tomáš Štulc is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (22 papers), Cardiovascular Health and Disease Prevention (8 papers), Cancer, Lipids, and Metabolism (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Pharmaceutical Economics and Policy (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Family Practice (20 citations), Surgery (476 citations), Cancer Research (97 citations) and Cardiology and Cardiovascular Medicine (138 citations). Tomáš Štulc has collaborated with scholars based in Czechia, United States and Switzerland. Frequent co-authors include R Češka, Peter P. Tóth, Ricardo Dent, Maciej Banach, Michal Vrablı́k, Aleksi Šedo, Jan Malík, Antonio M. Gotto, J Škrha and Marjel van Dam. Their work appears in journals such as Physiological Research, Atherosclerosis Supplements, Current Atherosclerosis Reports, American Heart Journal and Nutrition.

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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