Jiřı́ Pácha

95 papers receiving 2.4k citations

Peers

Jiřı́ Pácha
Comparison fields: 5 of 114
  • Endocrine and Autonomic Systems 588
  • Behavioral Neuroscience 204
  • Aging 95
  • Biological Psychiatry 100
  • Endocrinology, Diabetes and Metabolism 531
Replace Christelle Veyrat‐Durebex with:
Christelle Veyrat‐Durebex Switzerland
Yulan Dong China
Claudio A. Mastronardi United States
Katsunori Nonogaki Japan
R Denis France
Erik Maronde Germany
Ν. Fabris Italy
Maia V. Kokoeva Canada
Antonio Carrillo‐Vico Spain
Emmanuel Le Poul France
Jiřı́ Pácha relative to Christelle Veyrat‐Durebex Switzerland Christelle Veyrat‐Durebex's profile →
Citations per field
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Christelle Veyrat‐Durebex · 1×
Citations per year

Countries citing papers authored by Jiřı́ Pácha

Since Specialization
Citations

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

Fields of papers citing papers by Jiřı́ Pácha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000307
2 1993182
3 2007130
4 1991127
5 2014125
6 201891
7 201169
8 201967
9 201350
10 201250
11 201145
12 200945
13 200539
14 200637
15 201637
16 199834
17 200631
18 200929
19 201028
20 202128

About Jiřı́ Pácha

Jiřı́ Pácha is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (49 papers), Ion Transport and Channel Regulation (31 papers), Circadian rhythm and melatonin (15 papers), Stress Responses and Cortisol (14 papers), Adrenal Hormones and Disorders (11 papers), Electrolyte and hormonal disorders (10 papers), Dietary Effects on Health (7 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (588 citations), Behavioral Neuroscience (204 citations), Aging (95 citations), Biological Psychiatry (100 citations) and Endocrinology, Diabetes and Metabolism (531 citations). Jiřı́ Pácha has collaborated with scholars based in Czechia, Belarus and United States. Frequent co-authors include Alena Sumová, Matúš Soták, Ivan Mikšı́k, Peter Ergang, Lawrence G. Palmer, Gustavo Frindt, Lenka Polidarová, Karla Vagnerová, Martin Sládek and Libor Mrnka. Their work appears in journals such as Steroids, The Journal of Steroid Biochemistry and Molecular Biology, Chronobiology International, Life Sciences and Mechanisms of Ageing and Development.

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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