Jan Beneš

1.1k citations
40 papers · 829 · h-index 13

Impact in

Papers in

Jan Beneš

35 papers receiving 805 citations

Peers

Jan Beneš
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 236
  • Hematology 123
  • Nephrology 59
  • Psychiatry and Mental health 108
  • Endocrinology, Diabetes and Metabolism 78
Replace Hideki Shimomura with:
Hideki Shimomura Japan
Massimiliano Chetta Italy
H. Neubauer Germany
Jan Jaap van Lier United States
Claus Spieker Germany
Javier Navarro-Antolı́n Spain
E Pinca Italy
Toshihiko Uematsu Japan
J A Lawson Australia
Kyoko Matsuguma Japan
Jan Beneš relative to Hideki Shimomura Japan Hideki Shimomura's profile →
Citations per field
00.5×
Hideki Shimomura · 1×
Citations per year

Countries citing papers authored by Jan Beneš

Since Specialization
Citations

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

Fields of papers citing papers by Jan Beneš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016181
2 1999170
3 201556
4 201147
5 201145
6 201340
7 201137
8 201135
9 201834
10 202223
11 200121
12 201714
13 202514
14 201210
15 19809
16 20239
17 20199
18 20129
19 20158
20 19668

About Jan Beneš

Jan Beneš is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 829 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Diabetes Treatment and Management (5 papers), Heart Failure Treatment and Management (4 papers), Pulmonary Hypertension Research and Treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Adipose Tissue and Metabolism (3 papers), Aortic Disease and Treatment Approaches (2 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (236 citations), Hematology (123 citations), Nephrology (59 citations), Psychiatry and Mental health (108 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Jan Beneš has collaborated with scholars based in Czechia, United States and France. Frequent co-authors include Vojtěch Melenovský, Josef Kautzner, Jir̆ı́ Petrák, Martin Kotrč, Barry A. Borlaug, David A. Learmonth, Petr Jarolı́m, António Parada, Patrı́cio Soares-da-Silva and Víctor de Freitas. Their work appears in journals such as JACC Heart Failure, European Heart Journal, ESC Heart Failure, Kidney & Blood Pressure Research and Cellular and Molecular Life Sciences.

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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