Georges Da Violante

25 total papers · 1.1k total citations
9 papers, 809 citations indexed

About

Georges Da Violante is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Georges Da Violante has authored 9 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Pharmacology. Recurrent topics in Georges Da Violante's work include Mass Spectrometry Techniques and Applications (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Georges Da Violante is often cited by papers focused on Mass Spectrometry Techniques and Applications (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Georges Da Violante collaborates with scholars based in France, United Kingdom and United States. Georges Da Violante's co-authors include Isabelle Richard, Naïma Zerrouk, Philippe Arnaúd, Jean Claude Chaumeil, Morgane Gourlaouen, Jonathan Welti, Gordon C. Tucker, Jim C. Norman, Françoise Perron‐Sierra and Ian R. Hart and has published in prestigious journals such as Nature Medicine, Analytical Chemistry and Molecular Cancer Therapeutics.

In The Last Decade

Georges Da Violante

9 papers receiving 794 citations

Author Peers

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

Author Last Decade Papers Cites
Georges Da Violante 386 236 192 101 97 9 809
Andreas F. B. Räder 505 1.3× 182 0.8× 177 0.9× 41 0.4× 65 0.7× 13 877
Michael Weinmüller 505 1.3× 174 0.7× 200 1.0× 38 0.4× 65 0.7× 13 874
Gene K. Yee 383 1.0× 56 0.2× 171 0.9× 62 0.6× 61 0.6× 12 706
Rhonda K. Hansen 579 1.5× 72 0.3× 261 1.4× 121 1.2× 72 0.7× 10 864
Zafar I. Randhawa 533 1.4× 139 0.6× 52 0.3× 56 0.6× 156 1.6× 22 920
Wen‐Cherng Lee 626 1.6× 214 0.9× 224 1.2× 62 0.6× 174 1.8× 21 998
Fubo Liang 760 2.0× 75 0.3× 251 1.3× 126 1.2× 274 2.8× 15 988
Yael Udi 543 1.4× 46 0.2× 177 0.9× 198 2.0× 46 0.5× 10 998
Katherine A. Felts 428 1.1× 57 0.2× 163 0.8× 170 1.7× 232 2.4× 19 835
Christine Prébois 525 1.4× 80 0.3× 187 1.0× 310 3.1× 101 1.0× 13 988

Countries citing papers authored by Georges Da Violante

Since Specialization
Citations

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

Fields of papers citing papers by Georges Da Violante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georges Da Violante. 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 Georges Da Violante. The network helps show where Georges Da Violante may publish in the future.

Co-authorship network of co-authors of Georges Da Violante

This figure shows the co-authorship network connecting the top 25 collaborators of Georges Da Violante. A scholar is included among the top collaborators of Georges Da Violante 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 Georges Da Violante. Georges Da Violante 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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