Klaus Prank

38 papers receiving 792 citations

Peers

Klaus Prank
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 170
  • Behavioral Neuroscience 72
  • Endocrinology, Diabetes and Metabolism 310
  • Reproductive Medicine 57
  • Statistical and Nonlinear Physics 62
Replace Nina Japundžić‐Žigon with:
Nina Japundžić‐Žigon Serbia
Nozdrachev Ad Russia
Marı́a Luisa Vargas Spain
Zhu Shen United States
C.S. Pang Hong Kong
M. F. Celani Italy
Paul Klemm Germany
Takami Yagyu Japan
E Halberg United States
Joshua S. Talboom United States
Klaus Prank relative to Nina Japundžić‐Žigon Serbia Nina Japundžić‐Žigon's profile →
Citations per field
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Nina Japundžić‐Žigon · 1×
Citations per year

Countries citing papers authored by Klaus Prank

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Prank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990205
2 199281
3 199076
4 199774
5 199170
6 200039
7 199228
8 199523
9 200122
10
Circadian and pulsatile TSH secretion under physiological and pathophysiological conditions.
199022
11 199820
12 199419
13 199617
14 199817
15 199214
16 199812
17 200511
18 199910
19 199510
20 199410

About Klaus Prank

Klaus Prank is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Statistical and Nonlinear Physics, having authored 39 papers that have together received 844 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Gene Regulatory Network Analysis (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Regulation of Appetite and Obesity (4 papers), Thyroid Disorders and Treatments (3 papers), Neural dynamics and brain function (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (170 citations), Behavioral Neuroscience (72 citations), Endocrinology, Diabetes and Metabolism (310 citations), Reproductive Medicine (57 citations) and Statistical and Nonlinear Physics (62 citations). Klaus Prank has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Georg Brabant, A. von zur Mühlen, R.-D. Hesch, Christof Schöfl, C Schöfl, Ulrich Ranft, H. Feistner, Thomas Wagner, Herbert Hauser and Wilmar M. Wiersinga. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Trends in Endocrinology and Metabolism, Novartis Foundation symposium and Biophysical Chemistry.

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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