Günter Päth

39 papers receiving 1.5k citations

Peers

Günter Päth
Comparison fields: 5 of 84
  • Behavioral Neuroscience 131
  • Endocrine and Autonomic Systems 73
  • Endocrinology, Diabetes and Metabolism 198
  • Genetics 81
  • Physiology 218
Replace Cynthia L. Andoniadou with:
Cynthia L. Andoniadou United Kingdom
Dai Chida Japan
Waldemar Kanczkowski Germany
Bernard Chong Eu Khoo United Kingdom
Cecilia Y. Cheung United States
Laura C. Matthews United Kingdom
Isao Morimoto Japan
Siegfried Schwarz Austria
Zachary T. Resch United States
Kenichi Inagaki Japan
Günter Päth relative to Cynthia L. Andoniadou United Kingdom Cynthia L. Andoniadou's profile →
Citations per field
00.5×1.5×2.0×
Cynthia L. Andoniadou · 1×
Citations per year

Countries citing papers authored by Günter Päth

Since Specialization
Citations

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

Fields of papers citing papers by Günter Päth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000158
2 1997157
3 2001129
4 2018107
5 200298
6 200988
7 199777
8 200377
9 200375
10 200065
11 200049
12 200244
13 200441
14 200740
15 199637
16 201137
17 200136
18 200926
19 200620
20 201520

About Günter Päth

Günter Päth is a scholar working on Surgery, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Genetics and Obstetrics and Gynecology, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (19 papers), Stress Responses and Cortisol (5 papers), Adrenal Hormones and Disorders (5 papers), Mesenchymal stem cell research (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Kruppel-like factors research (3 papers), Asthma and respiratory diseases (3 papers) and Gestational Diabetes Research and Management (3 papers). The work is most often cited by research in Behavioral Neuroscience (131 citations), Endocrine and Autonomic Systems (73 citations), Endocrinology, Diabetes and Metabolism (198 citations), Genetics (81 citations) and Physiology (218 citations). Günter Päth has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Werner Alfons Scherbaum, Stefan Richard Bornstein, Jochen Seufert, George Panagiotis Chrousos, Hans Hauner, Monika Ehrhart‐Bornstein, Nikolaos Perakakis, Christos Socrates Mantzoros, Armin C. Braun and Harald Renz. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, The Journal of Clinical Endocrinology & Metabolism, Diabetes, Molecular and Cellular Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

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.

Explore authors with similar magnitude of impact