Sven Berkmann

583 total citations
23 papers, 440 citations indexed

About

Sven Berkmann is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Sven Berkmann has authored 23 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Epidemiology and 9 papers in Surgery. Recurrent topics in Sven Berkmann's work include Pituitary Gland Disorders and Treatments (16 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Meningioma and schwannoma management (9 papers). Sven Berkmann is often cited by papers focused on Pituitary Gland Disorders and Treatments (16 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Meningioma and schwannoma management (9 papers). Sven Berkmann collaborates with scholars based in Switzerland, Germany and United States. Sven Berkmann's co-authors include Javier Fandino, Michael Buchfelder, Sven Schlaffer, Hans‐Peter Landolt, Christopher Nimsky, Rudolf Fahlbusch, Luca Remonda, Christian Müller, Luigi Mariani and Philipp Schüetz and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of neurosurgery and Acta Neurochirurgica.

In The Last Decade

Sven Berkmann

22 papers receiving 433 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sven Berkmann Switzerland 11 336 193 180 127 73 23 440
Tetsuhiko Sakoguchi Japan 11 293 0.9× 110 0.6× 156 0.9× 107 0.8× 35 0.5× 22 377
A.H.G. Dallenga Netherlands 11 412 1.2× 188 1.0× 246 1.4× 80 0.6× 12 0.2× 15 564
Pedro Riesgo Spain 10 127 0.4× 103 0.5× 175 1.0× 110 0.9× 38 0.5× 22 386
Steven Grahovac Canada 6 211 0.6× 191 1.0× 249 1.4× 98 0.8× 20 0.3× 8 385
Kazuhito Takeuchi Japan 11 199 0.6× 163 0.8× 181 1.0× 87 0.7× 34 0.5× 71 412
Stefania Acerno Italy 7 248 0.7× 129 0.7× 111 0.6× 139 1.1× 18 0.2× 14 321
Salomón Cohen-Cohen United States 11 284 0.8× 252 1.3× 216 1.2× 101 0.8× 16 0.2× 24 409
Hitoshi Izumiyama Japan 11 159 0.5× 111 0.6× 97 0.5× 80 0.6× 33 0.5× 32 322
Érika Ferreira Gomes Brazil 12 638 1.9× 421 2.2× 434 2.4× 111 0.9× 12 0.2× 17 775
David Mathias United Kingdom 6 335 1.0× 64 0.3× 183 1.0× 99 0.8× 72 1.0× 10 520

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-authorship network of co-authors of Sven Berkmann

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Berkmann. A scholar is included among the top collaborators of Sven Berkmann 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 Berkmann. Sven Berkmann 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
1.
Berkmann, Sven, Michel Roethlisberger, Beat Müeller, et al.. (2021). Selective resection of cushing microadenoma guided by preoperative hybrid 18-fluoroethyl-L-tyrosine and 11-C-methionine PET/MRI. Pituitary. 24(6). 878–886. 24 indexed citations
2.
Berkmann, Sven, Philipp Schüetz, Michael Diepers, et al.. (2021). The Shape grading system: a classification for growth patterns of pituitary adenomas. Acta Neurochirurgica. 163(11). 3181–3189. 11 indexed citations
3.
Berkmann, Sven, et al.. (2021). Prevalence and outcome of comorbidities associated with acromegaly. Acta Neurochirurgica. 163(11). 3171–3180. 8 indexed citations
4.
Berkmann, Sven, et al.. (2020). Outcome of nonneoplastic pituitary cysts during conservative monitoring and after surgery—a SwissPit study. Acta Neurochirurgica. 162(10). 2389–2396. 2 indexed citations
5.
6.
Wanderer, Stefan, Daniel Coluccia, Javier Añon, Javier Fandino, & Sven Berkmann. (2019). Intraoperative Computed Tomography Versus Fluoroscopy for Ventriculoperitoneal Shunt Placement. World Neurosurgery. 124. e609–e615.
7.
Kempf, Julia, Alexander Schmitz, Beat Müeller, et al.. (2018). Adenoma size and postoperative IGF-1 levels predict surgical outcomes in acromegaly patients: results of the Swiss Pituitary Registry (SwissPit). Swiss Medical Weekly. 148(3334). w14653–w14653. 5 indexed citations
8.
Berkmann, Sven, Philipp Schütz, Martina Röthlisberger, et al.. (2018). The Swiss Pituitary Registry—SwissPit. Journal of Neurological Surgery Part A Central European Neurosurgery. 2 indexed citations
9.
Berkmann, Sven, et al.. (2015). Sellar Toxoplasmosis and Nonfunctioning Pituitary Adenoma. World Neurosurgery. 84(5). 1495.e1–1495.e4. 5 indexed citations
10.
Winzeler, Bettina, Christian Zweifel, N Nigro, et al.. (2015). Postoperative Copeptin Concentration Predicts Diabetes Insipidus After Pituitary Surgery. The Journal of Clinical Endocrinology & Metabolism. 100(6). 2275–2282. 63 indexed citations
11.
Coluccia, Daniel, et al.. (2015). Intraoperative Fluoroscopy for Ventriculoperitoneal Shunt Placement. World Neurosurgery. 86. 71–78. 9 indexed citations
12.
Berkmann, Sven, Sven Schlaffer, Christopher Nimsky, Rudolf Fahlbusch, & Michael Buchfelder. (2014). Follow-up and long-term outcome of nonfunctioning pituitary adenoma operated by transsphenoidal surgery with intraoperative high-field magnetic resonance imaging. Acta Neurochirurgica. 156(12). 2233–2243. 61 indexed citations
13.
Berkmann, Sven, Sven Schlaffer, Christopher Nimsky, Rudolf Fahlbusch, & Michael Buchfelder. (2014). Intraoperative high-field MRI for transsphenoidal reoperations of nonfunctioning pituitary adenoma. Journal of neurosurgery. 121(5). 1166–1175. 44 indexed citations
14.
Berkmann, Sven, Javier Fandino, Christian Müller, Luca Remonda, & Hans‐Peter Landolt. (2012). Intraoperative MRI and endocrinological outcome of transsphenoidal surgery for non-functioning pituitary adenoma. Acta Neurochirurgica. 154(4). 639–647. 59 indexed citations
15.
Muroi, Carl, Javier Fandino, Daniel Coluccia, et al.. (2012). 5-Aminolevulinic Acid Fluorescence-Guided Surgery for Spinal Meningioma. World Neurosurgery. 80(1-2). 223.e1–223.e3. 19 indexed citations
16.
Berkmann, Sven, Javier Fandino, Beat P. Müller‐Stich, et al.. (2012). Pituitary surgery: experience from a large network in Central Switzerland. Swiss Medical Weekly. 142(3940). w13680–w13680. 23 indexed citations
17.
Berkmann, Sven, et al.. (2011). Recurrent Intrahepatic Dislocation of Ventriculoperitoneal Shunt. min - Minimally Invasive Neurosurgery. 54(2). 83–86. 4 indexed citations
18.
Berkmann, Sven & Javier Fandino. (2011). Pregnancy and childbirth after microsurgery for lumbar disc herniation. Acta Neurochirurgica. 154(2). 329–334. 8 indexed citations
19.
Berkmann, Sven, et al.. (2011). Intraoperative magnetic resonance imaging and early prognosis for vision after transsphenoidal surgery for sellar lesions. Journal of neurosurgery. 115(3). 518–527. 35 indexed citations
20.
Berkmann, Sven, et al.. (2010). Sarcoma of the sella after radiotherapy for pituitary adenoma. Acta Neurochirurgica. 152(10). 1725–1735. 16 indexed citations

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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