G Päth

1.8k citations
40 papers · 1.5k indexed · h-index 20

G Päth

40 papers receiving 1.4k citations

Peers

G Päth
Comparison fields: 5 of 96
  • Behavioral Neuroscience 174
  • Endocrine and Autonomic Systems 173
  • Endocrinology, Diabetes and Metabolism 329
  • Physiology 349
  • Genetics 108
Replace Lorena Airaghi with:
Lorena Airaghi Italy
Ian C. Chikanza United Kingdom
Ingrid Klöting Germany
Ellen Goldmuntz United States
M. Thorén Sweden
Merly C. Vogt United States
Jolanta B. Pucilowska United States
Dong‐Ming Su United States
Ingegerd Söderström Sweden
Eva Becher Germany
G Päth relative to Lorena Airaghi Italy Lorena Airaghi's profile →
Citations per field
00.5×2.5×
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-authorship network

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
#Work
1 20227
2 202011
3 201913
4 201913
5 201811
6 201520
7 20128
8 201133
9 200926
10 200984
11 200738
12 200613
13 200440
14 200371
15 200376
16 200295
17 200241
18 200044
19 200054
20 199638

About G Päth

G Päth is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery, Endocrine and Autonomic Systems and Genetics, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Diabetes and associated disorders (6 papers), Adrenal Hormones and Disorders (6 papers), Diabetes Management and Research (5 papers), Hormonal Regulation and Hypertension (5 papers), Stress Responses and Cortisol (4 papers), Adipose Tissue and Metabolism (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Behavioral Neuroscience (174 citations), Endocrine and Autonomic Systems (173 citations), Endocrinology, Diabetes and Metabolism (329 citations), Physiology (349 citations) and Genetics (108 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, Armin Braun 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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