Sven Schinner

3.9k total citations
94 papers, 2.7k citations indexed

About

Sven Schinner is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Sven Schinner has authored 94 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Endocrinology, Diabetes and Metabolism, 29 papers in Molecular Biology and 26 papers in Surgery. Recurrent topics in Sven Schinner's work include Pancreatic function and diabetes (20 papers), Diabetes Treatment and Management (17 papers) and Hormonal Regulation and Hypertension (12 papers). Sven Schinner is often cited by papers focused on Pancreatic function and diabetes (20 papers), Diabetes Treatment and Management (17 papers) and Hormonal Regulation and Hypertension (12 papers). Sven Schinner collaborates with scholars based in Germany, United Kingdom and United States. Sven Schinner's co-authors include Werner A. Scherbaum, M. Schott, Stefan R. Bornstein, A. Barthel, Stephen O’Rahilly, Claudia Papewalis, Antonio Vidal‐Puig, Maria A. Soos, Holger S. Willenberg and Holger S. Willenberg and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Sven Schinner

89 papers receiving 2.6k citations

Peers

Sven Schinner
Comparison fields: 5 of 119
  • Molecular Biology 1.3k
  • Endocrinology, Diabetes and Metabolism 789
  • Physiology 578
  • Surgery 539
  • Epidemiology 381
Replace In Kyu Lee with:
In Kyu Lee South Korea
Giulio Ceolotto Italy
Satoshi Ugi Japan
Monika Kellerer Germany
Antti Virkamäki Finland
Naotake Hashimoto Japan
Daniel T. Meier Switzerland
Renming Hu China
David Vicent Spain
Lucia La Sala Italy
In Kyu Lee South Korea View profile →
Citations per field, relative to Sven Schinner
Sven Schinner · 1×
Citations per year, relative to Sven Schinner
Sven Schinner · 1×

Countries citing papers authored by Sven Schinner

Since Specialization
Citations

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

Fields of papers citing papers by Sven Schinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Schinner

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Schinner. A scholar is included among the top collaborators of Sven Schinner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sven Schinner. Sven Schinner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 5
3 13
4 32
5 4
6 16
7 12
8 9
9 45
10 32
11 11
12 21
13 5
14 25
15 44
16 21
17 41
18 24
19 27
20 65

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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