Floris S. Verheij

39 total papers · 1.6k total citations
19 papers, 258 citations indexed

About

Floris S. Verheij is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Floris S. Verheij has authored 19 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 12 papers in Surgery and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Floris S. Verheij's work include Colorectal Cancer Surgical Treatments (15 papers), Colorectal and Anal Carcinomas (11 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Floris S. Verheij is often cited by papers focused on Colorectal Cancer Surgical Treatments (15 papers), Colorectal and Anal Carcinomas (11 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Floris S. Verheij collaborates with scholars based in United States, Netherlands and South Korea. Floris S. Verheij's co-authors include Julio García‐Aguilar, Hannah M. Thompson, Jonathan B. Yuval, Leonard B. Saltz, Jin K. Kim, Sujata Patil, Meghan Lee, Dana M. Omer, Marc J. Gollub and Li‐Xuan Qin and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgery and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Floris S. Verheij

16 papers receiving 257 citations

Author Peers

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

Author Last Decade Papers Cites
Floris S. Verheij 220 178 57 26 11 19 258
Dario Scala 203 0.9× 141 0.8× 61 1.1× 22 0.8× 7 0.6× 21 258
Pardeep Kumar 80 0.4× 194 1.1× 82 1.4× 23 0.9× 8 0.7× 23 291
Yutaka Hanaoka 163 0.7× 110 0.6× 49 0.9× 44 1.7× 15 1.4× 27 222
Anne M. Dinaux 222 1.0× 143 0.8× 80 1.4× 21 0.8× 30 2.7× 22 275
Yoshihiro Akazai 221 1.0× 220 1.2× 51 0.9× 18 0.7× 6 0.5× 18 263
Lieve G.J. Leijssen 216 1.0× 138 0.8× 87 1.5× 23 0.9× 33 3.0× 22 298
Mercedes López 77 0.3× 132 0.7× 39 0.7× 34 1.3× 13 1.2× 26 301
Josephine Stewart 144 0.7× 118 0.7× 84 1.5× 25 1.0× 28 2.5× 16 283
Suzanna Bota 170 0.8× 94 0.5× 191 3.4× 27 1.0× 16 1.5× 21 317
Dashan Ai 129 0.6× 197 1.1× 195 3.4× 27 1.0× 5 0.5× 21 284

Countries citing papers authored by Floris S. Verheij

Since Specialization
Citations

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

Fields of papers citing papers by Floris S. Verheij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Floris S. Verheij

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