V Favaudon

19 total papers · 573 total citations
11 papers, 484 citations indexed

About

V Favaudon is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, V Favaudon has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in V Favaudon's work include Microtubule and mitosis dynamics (4 papers), Cancer therapeutics and mechanisms (3 papers) and Redox biology and oxidative stress (2 papers). V Favaudon is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Cancer therapeutics and mechanisms (3 papers) and Redox biology and oxidative stress (2 papers). V Favaudon collaborates with scholars based in France and Germany. V Favaudon's co-authors include Nicole Giocanti, Carole Hennequin, Christophe Hennequin, Jacques Balosso, Chantal Houée‐Levin, Jean Lhoste, Michel Bornens, Anne Paoletti, C. Hennequin and Arnaud Beddok and has published in prestigious journals such as Biochemistry, Journal of Cell Science and Annals of the New York Academy of Sciences.

In The Last Decade

V Favaudon

11 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
V Favaudon	207	203	162	66	56	11	484
Nikko Brix	242 1.2×	152 0.7×	109 0.7×	30 0.5×	58 1.0×	13	496
Elena Tornari	244 1.2×	161 0.8×	70 0.4×	16 0.2×	55 1.0×	12	430
Helen Barnes	105 0.5×	195 1.0×	139 0.9×	81 1.2×	113 2.0×	23	532
Mira Maalouf	103 0.5×	214 1.1×	197 1.2×	23 0.3×	105 1.9×	15	464
Jonathan Ient	116 0.6×	231 1.1×	148 0.9×	23 0.3×	101 1.8×	9	478
Oliver Zschenker	103 0.5×	171 0.8×	64 0.4×	56 0.8×	54 1.0×	12	431
Daniel L. Smith	212 1.0×	169 0.8×	61 0.4×	25 0.4×	136 2.4×	17	484
Motoko Omura‐Minamisawa	127 0.6×	215 1.1×	105 0.6×	16 0.2×	103 1.8×	18	419
Yao Lu	244 1.2×	109 0.5×	91 0.6×	29 0.4×	53 0.9×	25	442
Benjamin D. Li	134 0.6×	307 1.5×	47 0.3×	13 0.2×	164 2.9×	15	519

Countries citing papers authored by V Favaudon

Since Specialization

Citations

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

Fields of papers citing papers by V Favaudon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V Favaudon

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