Tomáš Štulc
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Oncology
- Co-authors
- R ČeškaPeter P. TóthRicardo DentMaciej BanachMichal VráblíkAleksi ŠedoAntonio M. GottoJan Malík
- Topics
- Lipoproteins and Cardiovascular Health (26 papers)Cancer, Lipids, and Metabolism (11 papers)Cardiovascular Health and Disease Prevention (8 papers)
- Journals
- Journal of Clinical InvestigationThe American Journal of CardiologyEuropean Journal of Pharmacology
- Partner nations
- CzechiaUnited StatesAustria
In The Last Decade
Tomáš Štulc
54 papers receiving 957 citations
Peers
Comparison fields: 5 of 80
- Surgery 567
- Endocrinology, Diabetes and Metabolism 263
- Molecular Biology 258
- Cardiology and Cardiovascular Medicine 198
- Oncology 171
Countries citing papers authored by Tomáš Štulc
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
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-authorship network of co-authors of Tomáš Štulc
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Štulc. A scholar is included among the top collaborators of Tomáš Štulc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomáš Štulc. Tomáš Štulc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | [Hyperlipoproteinemia and dyslipidemia as rare diseases. Diagnostics and treatment]. | 2 |
| 4 | 8 | |
| 5 | [PCSK9 inhibitors - new possibilities in the treatment of hypercholesterolemia: For which patients will be indicated?Czech atherosclerosis society statement]. | 1 |
| 6 | 146 | |
| 7 | Statin intolerance: the clinician’s perspective | 12 |
| 8 | 1 | |
| 9 | Stanovisko výboru ČSAT k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2011 | 0 |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 17 | |
| 13 | 28 | |
| 14 | 11 | |
| 15 | 27 | |
| 16 | 23 | |
| 17 | 5 | |
| 18 | 20 | |
| 19 | 10 | |
| 20 | 10 |
About Tomáš Štulc
Tomáš Štulc is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (26 papers), Cancer, Lipids, and Metabolism (11 papers) and Cardiovascular Health and Disease Prevention (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), Surgery (567 citations) and Family Practice (25 citations). Tomáš Štulc has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include R Češka, Peter P. Tóth, Ricardo Dent, Maciej Banach, Michal Vráblík, Aleksi Šedo, Antonio M. Gotto, Jan Malík, J Škrha and Betsie Boucher. Their work appears in journals such as Journal of Clinical Investigation, The American Journal of Cardiology and European Journal of Pharmacology.
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.