Silvia Hanselmann

11 total papers · 508 total citations
10 papers, 405 citations indexed

About

Silvia Hanselmann is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Silvia Hanselmann has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Silvia Hanselmann's work include Prostate Cancer Treatment and Research (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Cancer Treatment and Pharmacology (4 papers). Silvia Hanselmann is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Prostate Cancer Diagnosis and Treatment (5 papers) and Cancer Treatment and Pharmacology (4 papers). Silvia Hanselmann collaborates with scholars based in Switzerland and Germany. Silvia Hanselmann's co-authors include Daniel Dietrich, Markus Borner, Aron Goldhirsch, Bernhard C. Pestalozzi, Richard Herrmann, Martin Wernli, Rudolf Morant, R. Morant, Peter Brauchli and Samuel Müller and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and British Journal of Cancer.

In The Last Decade

Silvia Hanselmann

10 papers receiving 393 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Silvia Hanselmann 246 235 66 63 51 10 405
Väinämö Nikkanen 185 0.8× 204 0.9× 74 1.1× 27 0.4× 24 0.5× 13 381
Katrin Hefler‐Frischmuth 204 0.8× 118 0.5× 71 1.1× 14 0.2× 60 1.2× 17 478
Carlo Barone 208 0.8× 198 0.8× 66 1.0× 34 0.5× 39 0.8× 20 392
Anna Świeboda-Sadlej 247 1.0× 154 0.7× 29 0.4× 101 1.6× 61 1.2× 16 384
J Lokich 342 1.4× 98 0.4× 87 1.3× 55 0.9× 22 0.4× 7 414
Yuji Kurusu 232 0.9× 222 0.9× 75 1.1× 34 0.5× 139 2.7× 10 433
Karen Giselle Chee 182 0.7× 164 0.7× 31 0.5× 49 0.8× 36 0.7× 9 379
Gary W. Jean 238 1.0× 93 0.4× 56 0.8× 16 0.3× 37 0.7× 14 376
Richard M. Scher 287 1.2× 223 0.9× 107 1.6× 16 0.3× 109 2.1× 13 436
Robert S. Brody 268 1.1× 176 0.7× 55 0.8× 19 0.3× 54 1.1× 11 451

Countries citing papers authored by Silvia Hanselmann

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Hanselmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Hanselmann

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Hanselmann. A scholar is included among the top collaborators of Silvia Hanselmann 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 Silvia Hanselmann. Silvia Hanselmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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