Jaroslav Kuneš

5.7k total citations
256 papers, 4.5k citations indexed

About

Jaroslav Kuneš is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jaroslav Kuneš has authored 256 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Physiology, 78 papers in Molecular Biology and 71 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jaroslav Kuneš's work include Nitric Oxide and Endothelin Effects (49 papers), Regulation of Appetite and Obesity (38 papers) and Renin-Angiotensin System Studies (38 papers). Jaroslav Kuneš is often cited by papers focused on Nitric Oxide and Endothelin Effects (49 papers), Regulation of Appetite and Obesity (38 papers) and Renin-Angiotensin System Studies (38 papers). Jaroslav Kuneš collaborates with scholars based in Czechia, Slovakia and Canada. Jaroslav Kuneš's co-authors include Josef Zicha, Z Dobešová, Lenka Maletı́nská, Zdenka Dobešová, Blanka Železná, Ivana Vaněčková, Pavel Hamet, Michal Behuliak, Vladimı́r Křen and Johanne Tremblay and has published in prestigious journals such as Nature Communications, Physiological Reviews and PLoS ONE.

In The Last Decade

Jaroslav Kuneš

253 papers receiving 4.5k citations

Peers

Jaroslav Kuneš
Comparison fields: 5 of 123
  • Physiology 1.7k
  • Cardiology and Cardiovascular Medicine 1.6k
  • Molecular Biology 1.3k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 584
Replace Josef Zicha with:
Josef Zicha Czechia
Edward J. Johns Ireland
William J. Arendshorst United States
Jürgen Janke Germany
Edward W. Inscho United States
Ulf Simonsen Denmark
Robert W. Caldwell United States
A. Erik G. Persson Sweden
Yves Deshaies Canada
León Ferder Argentina
Josef Zicha Czechia View profile →
Citations per field, relative to Jaroslav Kuneš
Jaroslav Kuneš · 1×
Citations per year, relative to Jaroslav Kuneš
Jaroslav Kuneš · 1×

Countries citing papers authored by Jaroslav Kuneš

Since Specialization
Citations

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

Fields of papers citing papers by Jaroslav Kuneš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaroslav Kuneš

This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Kuneš. A scholar is included among the top collaborators of Jaroslav Kuneš 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 Jaroslav Kuneš. Jaroslav Kuneš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 4
4 4
5 2
6 1
7 1
8 7
9 8
10 16
11 59
12 19
13 3
14 108
15 10
16 3
17 1
18
Genetic hypertension is characterized by the abnormal expression of a gene localized in major histocompatibility complex HSP70.
6
19
Body fluids and their distribution in experimental hypertension.
3
20 4

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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