David Venet

3.6k citations
54 papers · 2.6k · h-index 25

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • HER2/EGFR in Cancer Research 8
    • Cancer Cells and Metastasis 4
    • Cancer Genomics and Diagnostics 9
    • Breast Cancer Treatment Studies 6

David Venet

54 papers receiving 2.5k citations

Peers

David Venet
Comparison fields: 5 of 114
  • Cancer Research 775
  • Oncology 974
  • Molecular Biology 874
  • Pulmonary and Respiratory Medicine 374
  • Immunology 211
Replace Steven A. Enkemann with:
Steven A. Enkemann United States
Per Malmström Sweden
Abhik Mukherjee United Kingdom
Pascal Jézéquel France
Mathias C. Gehrmann Germany
Shrabanti Chowdhury United States
Hans Kristian Moen Vollan Norway
Amy E. McKee United States
Patrick Glen Pilie United States
Chunde Li Sweden
David Venet relative to Steven A. Enkemann United States Steven A. Enkemann's profile →
Citations per field
00.5×5×10×15×20×24.8×
Steven A. Enkemann · 1×
Citations per year

Countries citing papers authored by David Venet

Since Specialization
Citations

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

Fields of papers citing papers by David Venet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011468
2 2018293
3 2019154
4 2021140
5 2016129
6 2019101
7 200198
8 202389
9 201775
10 201273
11 201870
12 202065
13 202264
14 200558
15 202453
16 200551
17 201551
18 202346
19 201236
20 202033

About David Venet

David Venet is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Statistics and Probability, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), HER2/EGFR in Cancer Research (8 papers), Gene expression and cancer classification (8 papers), Breast Cancer Treatment Studies (6 papers), Statistical Methods in Clinical Trials (4 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (775 citations), Oncology (974 citations), Molecular Biology (874 citations), Pulmonary and Respiratory Medicine (374 citations) and Immunology (211 citations). David Venet has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Vincent Detours, Jacques E. Dumont, Christos P. Sotiriou, Françoise Rothé, Yacine Barèche, Michail Ignatiadis, Martine J Piccart, Philippe Georges Aftimos, Carine Maenhaut and Hugues Bersini. Their work appears in journals such as Clinical Cancer Research, Nature Communications, Annals of Oncology, npj Breast Cancer and Bioinformatics.

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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