Gaël Panis

50 total papers · 708 total citations
27 papers, 456 citations indexed

About

Gaël Panis is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Gaël Panis has authored 27 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 20 papers in Molecular Biology and 9 papers in Ecology. Recurrent topics in Gaël Panis's work include Bacterial Genetics and Biotechnology (21 papers), Bacteriophages and microbial interactions (8 papers) and Genomics and Phylogenetic Studies (5 papers). Gaël Panis is often cited by papers focused on Bacterial Genetics and Biotechnology (21 papers), Bacteriophages and microbial interactions (8 papers) and Genomics and Phylogenetic Studies (5 papers). Gaël Panis collaborates with scholars based in Switzerland, United States and United Kingdom. Gaël Panis's co-authors include Patrick H. Viollier, Mireille Ansaldi, Vincent Méjean, Sean R. Murray, Séan Murray, Johann Mignolet, Laurence Théraulaz, Coralie Fumeaux, Martin Howard and Claudine Baraquet and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Gaël Panis

25 papers receiving 455 citations

Author Peers

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

Author						Papers	Cites
Gaël Panis	325	245	182	73	43	27	456
Laurence Théraulaz	357 1.1×	262 1.1×	142 0.8×	74 1.0×	40 0.9×	15	508
Samantha M. Desmarais	313 1.0×	271 1.1×	152 0.8×	84 1.2×	37 0.9×	15	519
Hendrik Osadnik	407 1.3×	206 0.8×	107 0.6×	57 0.8×	37 0.9×	11	517
Khédidja Mosbahi	250 0.8×	171 0.7×	90 0.5×	74 1.0×	38 0.9×	19	423
Enno R. Oldewurtel	345 1.1×	213 0.9×	131 0.7×	63 0.9×	26 0.6×	16	495
Sigrid Tue Jørgensen	242 0.7×	266 1.1×	171 0.9×	80 1.1×	28 0.7×	15	438
Yvonne Göpel	390 1.2×	328 1.3×	176 1.0×	72 1.0×	36 0.8×	15	541
R C Gayda	375 1.2×	336 1.4×	141 0.8×	64 0.9×	41 1.0×	17	501
Elena Espinosa	334 1.0×	159 0.6×	169 0.9×	90 1.2×	47 1.1×	24	539
Nicolas Wenner	267 0.8×	154 0.6×	204 1.1×	125 1.7×	53 1.2×	23	536

Countries citing papers authored by Gaël Panis

Since Specialization

Citations

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

Fields of papers citing papers by Gaël Panis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaël Panis

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