V. Cocquyt

1.4k citations
35 papers · 729 indexed · h-index 14

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Polyomavirus and related diseases
    • Breast Cancer Treatment Studies

Papers in

    • Breast Cancer Treatment Studies 12
    • Cancer Treatment and Pharmacology 8
    • HER2/EGFR in Cancer Research 7

V. Cocquyt

32 papers receiving 706 citations

Peers

V. Cocquyt
Comparison fields: 5 of 80
  • Oncology 442
  • Cancer Research 220
  • Pathology and Forensic Medicine 94
  • Anesthesiology and Pain Medicine 25
  • Surgery 175
Replace Stimson Schantz with:
Stimson Schantz United States
Yasuhiro Yanagita Japan
David H. Johnson United States
Jinghong Guan China
W.D. George United Kingdom
Samanta Sarti Italy
Jennifer R. Garreau United States
Reinaldo Chacón Argentina
Jiacheng Yin China
Diana Caragacianu United States
V. Cocquyt relative to Stimson Schantz United States Stimson Schantz's profile →
Citations per field
00.5×1.5×2.5×
Stimson Schantz · 1×
Citations per year

Countries citing papers authored by V. Cocquyt

Since Specialization
Citations

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

Fields of papers citing papers by V. Cocquyt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20131
2 20131
3 20134
4 201034
5 20100
6 20106
7 200919
8 200541
9 2004121
10 200318
11 2003112
12 200321
13 20031
14 20029
15 2001116
16 20005
17 200081
18 199830
19 19965
20 199413

About V. Cocquyt

V. Cocquyt is a scholar working on Cancer Research, Oncology, Reproductive Medicine, Dermatology and Pathology and Forensic Medicine, having authored 35 papers that have together received 729 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Cancer Treatment and Pharmacology (8 papers), HER2/EGFR in Cancer Research (7 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Nausea and vomiting management (3 papers), BRCA gene mutations in cancer (3 papers), Cancer therapeutics and mechanisms (3 papers) and Economic and Financial Impacts of Cancer (3 papers). The work is most often cited by research in Oncology (442 citations), Cancer Research (220 citations), Pathology and Forensic Medicine (94 citations), Anesthesiology and Pain Medicine (25 citations) and Surgery (175 citations). V. Cocquyt has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Simon Van Belle, R Serreyn, Mattias Neyt, Johan Albrecht, S.J.P. Van Belle, Phillip Blondeel, Judith Hurley, Marleen Praet, Herman Depypere and Vera Schelfhout. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, European Journal of Cancer, Value in Health and Cancer Research.

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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