Ivan Ulč

400 citations
25 papers · 324 · h-index 12

Impact in

Papers in

Ivan Ulč

24 papers receiving 313 citations

Peers

Ivan Ulč
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 117
  • Analytical Chemistry 46
  • Geriatrics and Gerontology 11
  • Anesthesiology and Pain Medicine 15
  • Pharmacology 21
Replace Peter H. Slugg with:
Peter H. Slugg United States
David Silberstein United States
Seong Bok Jang South Korea
Angela Cheng-Lai United States
Derek G. Waller United Kingdom
DJ Sumner United Kingdom
Brigitte Lecocq France
Yin‐Gail Yee United States
Maria Sunzel Sweden
N. Hockings United Kingdom
Ivan Ulč relative to Peter H. Slugg United States Peter H. Slugg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Ulč

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ulč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200661
2 201329
3 200326
4 201726
5 201624
6 201918
7 201618
8 202015
9 201715
10 201615
11 201612
12 201711
13 200110
14 20108
15 20177
16 20207
17 20035
18 20175
19 20203
20 20023

About Ivan Ulč

Ivan Ulč is a scholar working on Cardiology and Cardiovascular Medicine, Analytical Chemistry, Anesthesiology and Pain Medicine, Surgery and Molecular Biology, having authored 25 papers that have together received 324 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (5 papers), Blood Pressure and Hypertension Studies (4 papers), Anesthesia and Sedative Agents (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Computational Drug Discovery Methods (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (117 citations), Analytical Chemistry (46 citations), Geriatrics and Gerontology (11 citations), Anesthesiology and Pain Medicine (15 citations) and Pharmacology (21 citations). Ivan Ulč has collaborated with scholars based in Switzerland, United States and Czechia. Frequent co-authors include Jasper Dingemanse, Patricia N. Sidharta, Günther Krumpl, Pavla Kadlecová, Ivan Jelı́nek, Jitka Huclová, Nicolas Lindegger, Tom B. Vree, Miroslav Ryska and Hans G. Cruz. Their work appears in journals such as European Journal of Pharmaceutical Sciences, Journal of Cardiovascular Pharmacology, Journal of Stroke and Cerebrovascular Diseases, BMC Pharmacology and Toxicology and CHEST Journal.

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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