Oliver Tschopp

3.6k citations
47 papers · 2.7k indexed · h-index 20

Impact in

Papers in

Oliver Tschopp

43 papers receiving 2.6k citations

Peers

Oliver Tschopp
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 389
  • Molecular Biology 1.5k
  • Hepatology 166
  • Cancer Research 225
  • Epidemiology 478
Replace Don‐Kyu Kim with:
Don‐Kyu Kim South Korea
Sungsoon Fang South Korea
Toshiya Tanaka Japan
Susanne Schuster Germany
Kimberly D. Kluckman United States
Terri Pietka United States
Hueng-Sik Choi South Korea
Hyon‐Seung Yi South Korea
Almudena Porrás Spain
Marta Varela‐Rey Spain
Oliver Tschopp relative to Don‐Kyu Kim South Korea Don‐Kyu Kim's profile →
Citations per field
00.5×1.5×
Don‐Kyu Kim · 1×
Citations per year

Countries citing papers authored by Oliver Tschopp

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Tschopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202029
2 20204
3 202027
4 20190
5 201911
6 201912
7 20189
8 20160
9 201631
10 201515
11 201524
12 20152
13 20141
14 201334
15 201317
16 20121
17 2012406
18 201297
19 201165
20 200278

About Oliver Tschopp

Oliver Tschopp is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Surgery, Epidemiology and Rehabilitation, having authored 47 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (12 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Pancreatic function and diabetes (8 papers), Adrenal and Paraganglionic Tumors (7 papers), Metabolism, Diabetes, and Cancer (7 papers), Parathyroid Disorders and Treatments (6 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (389 citations), Molecular Biology (1.5k citations), Hepatology (166 citations), Cancer Research (225 citations) and Epidemiology (478 citations). Oliver Tschopp has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Brian A. Hemmings, Simon M. Schultze, Bettina Dümmler, Markus Nießen, Zhongzhou Yang, Maja Hemmings-Mieszczak, Daniela Brodbeck, Debby Hynx, Anne Baudry and Jianhua Feng. Their work appears in journals such as Molecular and Cellular Biology, Liver International, Archives of Physiology and Biochemistry, Transplantation and PLoS ONE.

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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