Eugénie Bassères

36 total papers · 639 total citations
27 papers, 455 citations indexed

About

Eugénie Bassères is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Eugénie Bassères has authored 27 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Infectious Diseases, 12 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Eugénie Bassères's work include Clostridium difficile and Clostridium perfringens research (22 papers), Microscopic Colitis (11 papers) and Viral gastroenteritis research and epidemiology (9 papers). Eugénie Bassères is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (22 papers), Microscopic Colitis (11 papers) and Viral gastroenteritis research and epidemiology (9 papers). Eugénie Bassères collaborates with scholars based in United States, United Kingdom and Sweden. Eugénie Bassères's co-authors include Kevin W. Garey, Bradley T. Endres, Mohammad Jahangir Alam, Mohammed Khaleduzzaman, Anne J Gonzales-Luna, Stephan Köhler, Séverine Loisel‐Meyer, Véronique Jubier-Maurin, Jean‐Pierre Liautard and María Pilar Jiménez de Bagüés and has published in prestigious journals such as Gastroenterology, PLoS ONE and The FASEB Journal.

In The Last Decade

Eugénie Bassères

26 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Eugénie Bassères	256	166	151	61	54	27	455
Susan Manzoor	190 0.7×	214 1.3×	144 1.0×	45 0.7×	29 0.5×	23	456
Danfeng Dong	268 1.0×	222 1.3×	179 1.2×	36 0.6×	27 0.5×	26	468
Yuting Tang	276 1.1×	103 0.6×	140 0.9×	71 1.2×	26 0.5×	18	518
Rémi Le Guern	178 0.7×	140 0.8×	132 0.9×	71 1.2×	27 0.5×	34	493
Satoshi Nakashio	268 1.0×	142 0.9×	111 0.7×	27 0.4×	38 0.7×	23	514
H. Boureau	362 1.4×	240 1.4×	130 0.9×	79 1.3×	29 0.5×	18	550
Carlos Quesada-Gómez	419 1.6×	103 0.6×	181 1.2×	121 2.0×	73 1.4×	39	501
Eddy Bagus Wasito	390 1.5×	56 0.3×	196 1.3×	36 0.6×	39 0.7×	37	514
J Symonds	357 1.4×	85 0.5×	175 1.2×	57 0.9×	41 0.8×	15	545
M Knoke	220 0.9×	95 0.6×	151 1.0×	82 1.3×	18 0.3×	45	449

Countries citing papers authored by Eugénie Bassères

Since Specialization

Citations

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

Fields of papers citing papers by Eugénie Bassères

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugénie Bassères

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