Sven Schlaffer

1.0k citations
28 papers · 731 · h-index 14

Impact in

Papers in

Sven Schlaffer

27 papers receiving 718 citations

Peers

Sven Schlaffer
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 530
  • Genetics 199
  • Biophysics 41
  • Epidemiology 219
  • Neurology 78
Replace Tsambika Psaras with:
Tsambika Psaras Germany
Hun Ho Park South Korea
Alessandro Villa Italy
David Scheie Denmark
Shingo Fujio Japan
Chang-Ki Hong South Korea
Miroslav Vaverka Czechia
Iddo Paldor Israel
Sung-Soo Koong South Korea
Yuya Nishiyama Japan
Sven Schlaffer relative to Tsambika Psaras Germany Tsambika Psaras's profile →
Citations per field
00.5×8.2×
Tsambika Psaras · 1×
Citations per year

Countries citing papers authored by Sven Schlaffer

Since Specialization
Citations

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

Fields of papers citing papers by Sven Schlaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201580
2 201577
3 200967
4 200665
5 201461
6 201947
7 201444
8 201941
9 201340
10 200938
11 201328
12 201427
13 200825
14 201022
15 201612
16 201612
17 202012
18 20148
19 20187
20 20215

About Sven Schlaffer

Sven Schlaffer is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Genetics and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 731 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (20 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Meningioma and schwannoma management (9 papers), Adrenal and Paraganglionic Tumors (5 papers), Glioma Diagnosis and Treatment (5 papers), Adrenal Hormones and Disorders (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Electrolyte and hormonal disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (530 citations), Genetics (199 citations), Biophysics (41 citations), Epidemiology (219 citations) and Neurology (78 citations). Sven Schlaffer has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Michael Buchfelder, Sven Berkmann, Rudolf Fahlbusch, Christopher Nimsky, Yining Zhao, Timo Deutschbein, Christian J. Strasburger, Stephan Petersenn, Michael Droste and Jürgen Honegger. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Acta Neurochirurgica, Pituitary, Best Practice & Research Clinical Endocrinology & Metabolism and Journal of neurosurgery.

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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