G Päth

39 papers receiving 1.5k citations

Peers

G Päth
Comparison fields: 5 of 94
  • Behavioral Neuroscience 168
  • Endocrine and Autonomic Systems 169
  • Endocrinology, Diabetes and Metabolism 304
  • Physiology 299
  • Biological Psychiatry 24
Replace Lorena Airaghi with:
Lorena Airaghi Italy
Jolanta B. Pucilowska United States
Ian C. Chikanza United Kingdom
Shuichi Sato United States
Jun Shu China
Ingrid Klöting Germany
Ellen Goldmuntz United States
Eva Becher Germany
Merly C. Vogt United States
G Päth relative to Lorena Airaghi Italy Lorena Airaghi's profile →
Citations per field
00.5×2.6×
Lorena Airaghi · 1×
Citations per year

Countries citing papers authored by G Päth

Since Specialization
Citations

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

Fields of papers citing papers by G Päth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G 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 G Päth Line = papers co-authored together G Päth 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 2000165
2 1997157
3 2001130
4 2018107
5 200298
6 200988
7 200376
8 199776
9 200373
10 200064
11 200049
12 200243
13 200441
14 200740
15 199639
16 201137
17 200136
18 200927
19 201520
20 200620

About G Päth

G Päth is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Physiology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Adrenal Hormones and Disorders (6 papers), Diabetes and associated disorders (5 papers), Hormonal Regulation and Hypertension (5 papers), Diabetes Management and Research (4 papers), Adipose Tissue and Metabolism (4 papers), Stress Responses and Cortisol (4 papers) and Kruppel-like factors research (3 papers). The work is most often cited by research in Behavioral Neuroscience (168 citations), Endocrine and Autonomic Systems (169 citations), Endocrinology, Diabetes and Metabolism (304 citations), Physiology (299 citations) and Biological Psychiatry (24 citations). G Päth has collaborated with scholars based in Germany, United States and Greece. Frequent co-authors include Werner A. Scherbaum, Stefan R. Bornstein, Jochen Seufert, George P. Chrousos, Hans Hauner, Monika Ehrhart‐Bornstein, Nikolaos Perakakis, Christos S. Mantzoros, Ulrike Raap and Harald Renz. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, The Journal of Clinical Endocrinology & Metabolism, Diabetes, American Journal of Physiology-Endocrinology and Metabolism and Molecular and Cellular Endocrinology.

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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