Diane Bigot

489 total citations
9 papers, 307 citations indexed

About

Diane Bigot is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Diane Bigot has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Insect Science, 6 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Diane Bigot's work include Plant and animal studies (5 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect and Pesticide Research (5 papers). Diane Bigot is often cited by papers focused on Plant and animal studies (5 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Insect and Pesticide Research (5 papers). Diane Bigot collaborates with scholars based in France, United Kingdom and Germany. Diane Bigot's co-authors include Philippe Gayral, Christina E. Jenkins, Robert J. Paxton, Elisabeth A. Herniou, Peter J. Koch, Vincent Doublet, Anne Dalmon, Panagiotis Theodorou, Anja Tehel and Andreas Gogol‐Döring and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of General Virology.

In The Last Decade

Diane Bigot

8 papers receiving 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diane Bigot France	8	252	194	191	58	29	9	307
Mi-Sun Yoo South Korea	11	203 0.8×	155 0.8×	174 0.9×	36 0.6×	61 2.1×	50	297
Olivier Celle France	8	397 1.6×	331 1.7×	319 1.7×	63 1.1×	8 0.3×	9	414
Robyn Manley United Kingdom	7	210 0.8×	152 0.8×	256 1.3×	66 1.1×	64 2.2×	10	322
François Cousserans France	9	322 1.3×	109 0.6×	78 0.4×	124 2.1×	26 0.9×	10	409
Lawrence Bellamy United Kingdom	3	515 2.0×	94 0.5×	116 0.6×	74 1.3×	24 0.8×	4	557
Ntanganedzeni Mapholi South Africa	9	46 0.2×	103 0.5×	101 0.5×	39 0.7×	62 2.1×	24	268
Lucie Kešnerová Switzerland	5	551 2.2×	370 1.9×	416 2.2×	31 0.5×	31 1.1×	5	639
Xiaofeng Dong United Kingdom	9	90 0.4×	52 0.3×	77 0.4×	18 0.3×	62 2.1×	24	202
Sarah Biber United States	3	706 2.8×	120 0.6×	93 0.5×	64 1.1×	60 2.1×	5	750
Irmgard Derakhshifar Austria	7	547 2.2×	429 2.2×	432 2.3×	87 1.5×	9 0.3×	8	566

Countries citing papers authored by Diane Bigot

Since Specialization

Citations

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

Fields of papers citing papers by Diane Bigot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Bigot

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Bigot. A scholar is included among the top collaborators of Diane Bigot 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 Diane Bigot. Diane Bigot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Paxton, Robert J., Marc Oliver Schäfer, Francesco Nazzi, et al.. (2022). Epidemiology of a major honey bee pathogen, deformed wing virus: potential worldwide replacement of genotype A by genotype B. International Journal for Parasitology Parasites and Wildlife. 18. 157–171. 58 indexed citations

Yang, Sa, Philippe Gayral, Hongxia Zhao, et al.. (2019). Occurrence and Molecular Phylogeny of Honey Bee Viruses in Vespids. Viruses. 12(1). 6–6. 27 indexed citations

Dalmon, Anne, Philippe Gayral, Christophe Klopp, et al.. (2019). Viruses in the Invasive Hornet Vespa velutina. Viruses. 11(11). 1041–1041. 46 indexed citations

Tehel, Anja, Diane Bigot, Andreas Gogol‐Döring, et al.. (2019). The Two Prevalent Genotypes of an Emerging Infectious Disease, Deformed Wing Virus, Cause Equally Low Pupal Mortality and Equally High Wing Deformities in Host Honey Bees. Viruses. 11(2). 114–114. 69 indexed citations

Bigot, Diane, Célestine Atyame, Mylène Weill, et al.. (2017). Discovery of Culex pipiens associated tunisia virus: a new ssRNA(+) virus representing a new insect associated virus family. Virus Evolution. 4(1). vex040–vex040. 14 indexed citations

Bigot, Diane, Anne Dalmon, Chunsheng Hou, et al.. (2017). The discovery of Halictivirus resolves the Sinaivirus phylogeny. Journal of General Virology. 98(11). 2864–2875. 31 indexed citations

François, Sarah, Denis Filloux, Philippe Roumagnac, et al.. (2016). Discovery of parvovirus-related sequences in an unexpected broad range of animals. Scientific Reports. 6(1). 30880–30880. 47 indexed citations

Dedeine, Franck, Diane Bigot, Thibaut Josse, et al.. (2015). Comparative Analysis of Transcriptomes from Secondary Reproductives of Three Reticulitermes Termite Species. PLoS ONE. 10(12). e0145596–e0145596. 14 indexed citations

Mattern, P, et al.. (1967). [Precipitating antibodies present in the blood and cerebrospinal fluid of patients with human African trypanosomiasis due to T. gambiense].. PubMed. 112(1). 105–12. 1 indexed citations

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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