Peter Ergang

37 papers receiving 640 citations

Peers

Peter Ergang
Comparison fields: 5 of 98
  • Behavioral Neuroscience 124
  • Biological Psychiatry 82
  • Endocrine and Autonomic Systems 112
  • Aging 17
  • Endocrinology, Diabetes and Metabolism 127
Replace Karla Vagnerová with:
Karla Vagnerová Czechia
Martin Vodička Czechia
Marion Soto United States
José K. van den Heuvel Netherlands
Kenny L. Chan United States
Juan Lin China
Erik Schéle Sweden
Juuso Juhila Finland
Gordana Cvijić Serbia
Peter Ergang relative to Karla Vagnerová Czechia Karla Vagnerová's profile →
Citations per field
00.5×3.3×
Karla Vagnerová · 1×
Citations per year

Countries citing papers authored by Peter Ergang

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ergang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201891
2 201967
3 201250
4 201637
5 200929
6 201028
7 202128
8 201427
9 201825
10 201522
11 201122
12 201422
13 201918
14 202018
15 200717
16 200614
17 200914
18 201913
19 200811
20 202311

About Peter Ergang

Peter Ergang is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Physiology, Molecular Biology and Pharmacology, having authored 37 papers that have together received 650 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (18 papers), Stress Responses and Cortisol (14 papers), Adrenal Hormones and Disorders (9 papers), Circadian rhythm and melatonin (5 papers), Gut microbiota and health (3 papers), Estrogen and related hormone effects (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Apelin-related biomedical research (3 papers). The work is most often cited by research in Behavioral Neuroscience (124 citations), Biological Psychiatry (82 citations), Endocrine and Autonomic Systems (112 citations), Aging (17 citations) and Endocrinology, Diabetes and Metabolism (127 citations). Peter Ergang has collaborated with scholars based in Czechia, United States and Sweden. Frequent co-authors include Jiřı́ Pácha, Karla Vagnerová, Martin Vodička, Ivan Mikšı́k, Petra Klusoňová, Matúš Soták, Petra Hermanová, Tomáš Hudcovic, Alena Sumová and Dagmar Šrůtková. Their work appears in journals such as Steroids, The Journal of Steroid Biochemistry and Molecular Biology, Frontiers in Immunology, Hypertension Research and The FASEB 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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