S. Gundersen

81 total papers · 3.4k total citations
59 papers, 886 citations indexed

About

S. Gundersen is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, S. Gundersen has authored 59 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 15 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in S. Gundersen's work include Cancer Treatment and Pharmacology (15 papers), Estrogen and related hormone effects (11 papers) and Breast Cancer Treatment Studies (10 papers). S. Gundersen is often cited by papers focused on Cancer Treatment and Pharmacology (15 papers), Estrogen and related hormone effects (11 papers) and Breast Cancer Treatment Studies (10 papers). S. Gundersen collaborates with scholars based in Norway, Belgium and Netherlands. S. Gundersen's co-authors include Einar Hannisdal, Herman Høst, Stener Kvinnsland, Eiliv Lund, J. Renard, Wenche Reed, Jahn M. Nesland, M. Clavel, Herbert M. Pinedo and Knut Lote and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer and British Journal of Cancer.

In The Last Decade

S. Gundersen

55 papers receiving 836 citations

Author Peers

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

Author Last Decade Papers Cites
S. Gundersen 470 268 246 232 116 59 886
WJ Gradishar 443 0.9× 211 0.8× 175 0.7× 167 0.7× 92 0.8× 48 717
Hadar Goldvaser 447 1.0× 380 1.4× 233 0.9× 103 0.4× 185 1.6× 70 890
Ciara C. O’Sullivan 579 1.2× 297 1.1× 292 1.2× 95 0.4× 257 2.2× 71 1.0k
Samanta Sarti 487 1.0× 207 0.8× 203 0.8× 66 0.3× 192 1.7× 46 793
Patrizia Serra 588 1.3× 242 0.9× 276 1.1× 89 0.4× 258 2.2× 51 997
Simon J. Hollingsworth 349 0.7× 223 0.8× 347 1.4× 93 0.4× 151 1.3× 56 945
Gianmaria Miolo 392 0.8× 192 0.7× 415 1.7× 165 0.7× 165 1.4× 85 977
Davide Lombardi 607 1.3× 210 0.8× 209 0.8× 96 0.4× 306 2.6× 57 995
Toshiaki Saeki 439 0.9× 181 0.7× 316 1.3× 106 0.5× 180 1.6× 43 1.0k
Federica Martorana 372 0.8× 223 0.8× 318 1.3× 82 0.4× 249 2.1× 55 851

Countries citing papers authored by S. Gundersen

Since Specialization
Citations

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

Fields of papers citing papers by S. Gundersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Gundersen

This figure shows the co-authorship network connecting the top 25 collaborators of S. Gundersen. A scholar is included among the top collaborators of S. Gundersen 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 S. Gundersen. S. Gundersen 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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