Benoit Beuselinck

6.4k citations
164 papers · 2.9k indexed · h-index 28

Impact in

Papers in

Benoit Beuselinck

157 papers receiving 2.9k citations

Peers

Benoit Beuselinck
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 2.2k
  • Cancer Research 917
  • Oncology 1.3k
  • Molecular Biology 1.4k
  • Orthopedics and Sports Medicine 118
Replace Pablo Maroto with:
Pablo Maroto Spain
Jana Prausová Czechia
José Á. García-Sáenz Spain
Saby George United States
Junji Yonese Japan
Sofia Paul United States
Lawrence I. Karsh United States
Cathy Tangen United States
Wei‐Xiang Qi China
Bradley A. McGregor United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoit Beuselinck

Since Specialization
Citations

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

Fields of papers citing papers by Benoit Beuselinck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20241
3 20232
4 202314
5 202220
6 202212
7 20227
8 202119
9 20213
10 202111
11 20201
12 202010
13 202023
14 20205
15 20188
16 201841
17 20184
18 201738
19 201740
20 2015230

About Benoit Beuselinck

Benoit Beuselinck is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Economics and Econometrics, having authored 164 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (137 papers), Renal and related cancers (69 papers), Cancer Genomics and Diagnostics (68 papers), Cancer Immunotherapy and Biomarkers (32 papers), Pancreatic and Hepatic Oncology Research (16 papers), Bladder and Urothelial Cancer Treatments (13 papers), Cancer Diagnosis and Treatment (12 papers) and Economic and Financial Impacts of Cancer (11 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.2k citations), Cancer Research (917 citations), Oncology (1.3k citations), Molecular Biology (1.4k citations) and Orthopedics and Sports Medicine (118 citations). Benoit Beuselinck has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include Stéphane Oudard, Toni K. Choueiri, Frede Donskov, Jessica Zucman‐Rossi, J. Connor Wells, Daniel Y.C. Heng, Patrick Schöffski, Georg A. Bjarnason, Sumanta K. Pal and Takeshi Yuasa. Their work appears in journals such as Journal of Clinical Oncology, Clinical Genitourinary Cancer, Annals of Oncology, Acta Oncologica and European Urology.

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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