Diethelm Tschöpe

4.1k citations
85 papers · 1.9k indexed · h-index 23

Diethelm Tschöpe

79 papers receiving 1.9k citations

Peers

Diethelm Tschöpe
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 640
  • Cardiology and Cardiovascular Medicine 753
  • Hematology 362
  • Internal Medicine 116
  • Gastroenterology 79
Replace Seiji Hokimoto with:
Seiji Hokimoto Japan
Maarten E. Tushuizen Netherlands
Mišo Šabović Slovenia
Hirofumi Soejima Japan
Hideki Tahara Japan
Annette Oeser United States
Włodzimierz J. Musiał Poland
Jaime Pereira Chile
Sergio De Marchi Italy
B. McQuillan Australia
Diethelm Tschöpe relative to Seiji Hokimoto Japan Seiji Hokimoto's profile →
Citations per field
00.5×3.7×
Seiji Hokimoto · 1×
Citations per year

Countries citing papers authored by Diethelm Tschöpe

Since Specialization
Citations

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

Fields of papers citing papers by Diethelm Tschöpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Visual Analytics of OCT data: Utility of deviation maps in describing retinal layer thickness changes
20191
2 201817
3 20178
4 20158
5 20144
6 201210
7 201115
8 201132
9 201113
10 20093
11 20070
12 20051
13 2001132
14 199888
15 19984
16 199415
17 199412
18 199131
19 199021
20 198946

About Diethelm Tschöpe

Diethelm Tschöpe is a scholar working on Endocrinology, Diabetes and Metabolism, Hematology and Cardiology and Cardiovascular Medicine, having authored 85 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (31 papers), Diabetes Management and Research (23 papers), Platelet Disorders and Treatments (14 papers), Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (10 papers), Metabolism, Diabetes, and Cancer (9 papers), Blood properties and coagulation (8 papers) and Diet and metabolism studies (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (640 citations), Cardiology and Cardiovascular Medicine (753 citations) and Hematology (362 citations). Diethelm Tschöpe has collaborated with scholars based in Germany, Austria and Estonia. Frequent co-authors include P. Rösen, Anselm K. Gitt, B. Schwippert, Peter Bramlage, Evelin Deeg, Michael Krekler, Christiane Binz, F. A. Gries, G. Rothe and Kenneth J. Clemetson. Their work appears in journals such as Blood, Journal of the American College of Cardiology and Biochemical and Biophysical Research Communications.

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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