Virginia Guillon

13 total papers · 411 total citations
4 papers, 42 citations indexed

About

Virginia Guillon is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Virginia Guillon has authored 4 papers receiving a total of 42 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Virginia Guillon's work include Pesticide Exposure and Toxicity (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Virginia Guillon is often cited by papers focused on Pesticide Exposure and Toxicity (2 papers), Computational Drug Discovery Methods (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). Virginia Guillon collaborates with scholars based in France. Virginia Guillon's co-authors include Florian Nachon, Xavier Brazzolotto, Gianluca Santoni, Céline Lafaye, Guillaume Gotthard, Antoine Royant, Michael Marek Koza, Judith Peters, David von Stetten and Tilo Seydel and has published in prestigious journals such as Molecules, Toxicology and Journal of The Royal Society Interface.

In The Last Decade

Virginia Guillon

4 papers receiving 41 citations

Author Peers

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

Author						Papers	Cites
Virginia Guillon	22	21	16	12	4	4	42
Jyotsna Gupta	23 1.0×	13 0.6×	9 0.6×	6 0.5×	4 1.0×	6	42
Jens Pilger	20 0.9×	41 2.0×	10 0.6×	6 0.5×		4	52
David Meijer	8 0.4×	53 2.5×	5 0.3×	15 1.3×	4 1.0×	4	68
S. M. Clegg	11 0.5×	25 1.2×	5 0.3×	4 0.3×	1 0.3×	4	31
Suhad A. A. Al-Salihi	19 0.9×	17 0.8×	10 0.6×	4 0.3×	1 0.3×	7	38
Anubhav Kumar	19 0.9×	27 1.3×	9 0.6×	2 0.2×	12 3.0×	5	72
T. J. Bach	12 0.5×	49 2.3×	5 0.3×	4 0.3×	1 0.3×	4	60
Angela Gono Bwalya	4 0.2×	11 0.5×	16 1.0×	6 0.5×	2 0.5×	5	51
Rajesh Kumar Thaper	5 0.2×	22 1.0×	7 0.4×	4 0.3×	2 0.5×	7	35
W.J.W. Pape	4 0.2×	23 1.1×	18 1.1×	32 2.7×	3 0.8×	6	233

Countries citing papers authored by Virginia Guillon

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Guillon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Guillon

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