Dominique Genet

71 total papers · 1.9k total citations
42 papers, 899 citations indexed

About

Dominique Genet is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Dominique Genet has authored 42 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Dominique Genet's work include Cancer Treatment and Pharmacology (19 papers), Colorectal Cancer Treatments and Studies (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). Dominique Genet is often cited by papers focused on Cancer Treatment and Pharmacology (19 papers), Colorectal Cancer Treatments and Studies (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). Dominique Genet collaborates with scholars based in France, Belgium and United States. Dominique Genet's co-authors include Françis Lévi, Sylvie Giacchetti, C. Focan, Georg A. Bjarnason, Marco Tampellini, Carlo Garufi, N. Tubiana-Mathieu, Thierry Gorlia, Bruno Coudert and M.A. Lentz and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and British Journal of Cancer.

In The Last Decade

Dominique Genet

41 papers receiving 883 citations

Author Peers

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

Author Last Decade Papers Cites
Dominique Genet 421 256 233 145 92 42 899
Jenny Foss Abrahamsen 181 0.4× 142 0.6× 118 0.5× 110 0.8× 155 1.7× 37 961
Quan-ying He 99 0.2× 388 1.5× 459 2.0× 555 3.8× 257 2.8× 64 1.0k
Mohamed Bouchahda 496 1.2× 225 0.9× 169 0.7× 135 0.9× 56 0.6× 43 795
Jiefeng Huang 339 0.8× 114 0.4× 226 1.0× 242 1.7× 261 2.8× 69 987
Samreen Ahmed 371 0.9× 34 0.1× 292 1.3× 117 0.8× 329 3.6× 59 1.0k
Luciano Corda 184 0.4× 189 0.7× 411 1.8× 346 2.4× 72 0.8× 62 835
Anne‐Sophie Gauchez 148 0.4× 29 0.1× 137 0.6× 49 0.3× 228 2.5× 52 815
Ayhan Ulusakarya 303 0.7× 224 0.9× 170 0.7× 119 0.8× 56 0.6× 45 789
Xian Wen Sun 366 0.9× 42 0.2× 191 0.8× 86 0.6× 328 3.6× 38 988
E. Greenberg 166 0.4× 102 0.4× 143 0.6× 146 1.0× 110 1.2× 29 756

Countries citing papers authored by Dominique Genet

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Genet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Genet

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