Petr Kujal

629 citations
35 papers · 520 · h-index 15

Impact in

Papers in

Petr Kujal

31 papers receiving 515 citations

Peers

Petr Kujal
Comparison fields: 5 of 65
  • Biochemistry 194
  • Endocrinology, Diabetes and Metabolism 174
  • Cardiology and Cardiovascular Medicine 185
  • Nephrology 47
  • Pathology and Forensic Medicine 54
Replace Marcela Bürgelová with:
Marcela Bürgelová Czechia
Martin Kammerl Germany
Gerald Klose Germany
Kevin K. Ng United States
Nobuhiko Satoh Japan
Silvia Mennuni Italy
G. D. Tan United Kingdom
L. Spadaro Italy
W. Marz Germany
Raj Pandian United States
Petr Kujal relative to Marcela Bürgelová Czechia Marcela Bürgelová's profile →
Citations per field
00.5×6.1×
Marcela Bürgelová · 1×
Citations per year

Countries citing papers authored by Petr Kujal

Since Specialization
Citations

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

Fields of papers citing papers by Petr Kujal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201552
2 201038
3 201435
4
[5/6 nephrectomy as an experimental model of chronic renal failure and adaptation to reduced nephron number].
200835
5 201134
6 201032
7 201229
8 201225
9 201024
10 201323
11 201620
12 201219
13 201718
14 202116
15 202014
16 201513
17 201612
18 202111
19 202310
20 202110

About Petr Kujal

Petr Kujal is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Biochemistry, Surgery and Epidemiology, having authored 35 papers that have together received 520 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (12 papers), Hormonal Regulation and Hypertension (10 papers), Renin-Angiotensin System Studies (9 papers), Blood Pressure and Hypertension Studies (7 papers), Diabetes Treatment and Management (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Mechanical Circulatory Support Devices (3 papers) and Transplantation: Methods and Outcomes (3 papers). The work is most often cited by research in Biochemistry (194 citations), Endocrinology, Diabetes and Metabolism (174 citations), Cardiology and Cardiovascular Medicine (185 citations), Nephrology (47 citations) and Pathology and Forensic Medicine (54 citations). Petr Kujal has collaborated with scholars based in Czechia, Poland and Germany. Frequent co-authors include Luděk Červenka, Zuzana Husková, Zdeňka Vernerová, Herbert J. Kramer, Janusz Sadowski, Ivana Vaněčková, Věra Čertíková Chábová, Libor Kopkan, Elżbieta Kompanowska‐Jezierska and John D. Imig. Their work appears in journals such as Kidney & Blood Pressure Research, Physiological Research, Clinical and Experimental Hypertension, Journal of Hypertension and Hypertension Research.

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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