Sven Berkmann

22 papers receiving 442 citations

Peers

Sven Berkmann
Comparison fields: 5 of 37
  • Endocrinology, Diabetes and Metabolism 314
  • Genetics 69
  • Epidemiology 68
  • Pulmonary and Respiratory Medicine 64
  • Surgery 69
Replace Tetsuhiko Sakoguchi with:
Tetsuhiko Sakoguchi Japan
Stefania Acerno Italy
Pavel Kalinin Russia
Kazuhito Takeuchi Japan
Joshua Loewenstern United States
A.H.G. Dallenga Netherlands
Steven Grahovac Canada
Vita Stagno Italy
Andrew Conger United States
Alaa Montaser United States
Sven Berkmann relative to Tetsuhiko Sakoguchi Japan Tetsuhiko Sakoguchi's profile →
Citations per field
00.5×2.8×
Tetsuhiko Sakoguchi · 1×
Citations per year

Countries citing papers authored by Sven Berkmann

Since Specialization
Citations

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

Fields of papers citing papers by Sven Berkmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201461
3 201259
4 201445
5 201135
6 202129
7 201328
8 201223
9 201219
10 201016
11 202112
12 201910
13 20159
14 20118
15 20218
16 20155
17 20245
18 20185
19 20114
20 20202

About Sven Berkmann

Sven Berkmann is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Genetics and Epidemiology, having authored 24 papers that have together received 449 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Cerebrospinal fluid and hydrocephalus (4 papers), Glioma Diagnosis and Treatment (2 papers), Brain Metastases and Treatment (2 papers), Toxoplasma gondii Research Studies (1 paper), Lung Cancer Research Studies (1 paper), Pregnancy-related medical research (1 paper) and Electrolyte and hormonal disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (314 citations), Genetics (69 citations), Epidemiology (68 citations), Pulmonary and Respiratory Medicine (64 citations) and Surgery (69 citations). Sven Berkmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Javier Fandino, Michael Buchfelder, Sven Schlaffer, Hans‐Peter Landolt, Luca Remonda, Christopher Nimsky, Rudolf Fahlbusch, Luigi Mariani, Philipp Schüetz and Mirjam Christ‐Crain. Their work appears in journals such as Acta Neurochirurgica, World Neurosurgery, Journal of neurosurgery, Swiss Medical Weekly and Strahlentherapie und Onkologie.

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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