Roman Trepp

820 citations
38 papers · 554 · h-index 14

Impact in

Papers in

Roman Trepp

37 papers receiving 540 citations

Peers

Roman Trepp
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 265
  • Clinical Biochemistry 70
  • Endocrine and Autonomic Systems 37
  • Physiology 113
  • Cell Biology 36
Replace Patrik Persson with:
Patrik Persson Sweden
Kota Matsuki Japan
Jordan Rowlands Australia
P. Compagnucci Italy
Dalong Zhu China
Carolyn M. Johnson United States
Barbara Mariniello Italy
Ryoko Takei Japan
Troels Mygind Jensen Denmark
Katherine Tonks Australia
Roman Trepp relative to Patrik Persson Sweden Patrik Persson's profile →
Citations per field
00.5×3.0×
Patrik Persson · 1×
Citations per year

Countries citing papers authored by Roman Trepp

Since Specialization
Citations

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

Fields of papers citing papers by Roman Trepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200576
2 200456
3 200651
4 202440
5 200531
6 200629
7 201527
8 202025
9 200724
10 201024
11 200822
12 202214
13 202013
14 202213
15 202311
16 202011
17 202411
18 20229
19 20247
20 20237

About Roman Trepp

Roman Trepp is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Physiology, Surgery and Epidemiology, having authored 38 papers that have together received 554 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Growth Hormone and Insulin-like Growth Factors (8 papers), Pituitary Gland Disorders and Treatments (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Diet and metabolism studies (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Adipose Tissue and Metabolism (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (265 citations), Clinical Biochemistry (70 citations), Endocrine and Autonomic Systems (37 citations), Physiology (113 citations) and Cell Biology (36 citations). Roman Trepp has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Emanuel Christ, Christoph Stettler, Peter Diem, Regula Everts, Marcel Zwahlen, Chris Boesch, Raphaela Muri, Susan M. Webb, Stefan Fischli and Jacques Décombaz. Their work appears in journals such as NeuroImage Clinical, Thyroid, European Journal of Endocrinology, Clinical Endocrinology and Journal of Inherited Metabolic Disease.

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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