Agathe Bourgogne

19 total papers · 1.6k total citations
16 papers, 864 citations indexed

About

Agathe Bourgogne is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Agathe Bourgogne has authored 16 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Infectious Diseases and 5 papers in Ecology. Recurrent topics in Agathe Bourgogne's work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Genetics and Biotechnology (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). Agathe Bourgogne is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Genetics and Biotechnology (5 papers) and Infective Endocarditis Diagnosis and Management (5 papers). Agathe Bourgogne collaborates with scholars based in United States, Chile and Argentina. Agathe Bourgogne's co-authors include Barbara E. Murray, Susan G. Hilsenbeck, Theresa M. Koehler, Melissa Drysdale, Kavindra V. Singh, Gary M. Dunny, Danielle A. Garsin, Scott N. Peterson, Teng Fang and Jing Zeng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Agathe Bourgogne

16 papers receiving 843 citations

Author Peers

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

Author Last Decade Papers Cites
Agathe Bourgogne 547 388 241 195 120 16 864
Helen S. Garmory 403 0.7× 383 1.0× 235 1.0× 131 0.7× 144 1.2× 18 1.0k
Cécile Carlier 421 0.8× 337 0.9× 297 1.2× 197 1.0× 220 1.8× 12 965
B L de Jonge 485 0.9× 483 1.2× 278 1.2× 121 0.6× 66 0.6× 13 930
Agnieszka Bera 490 0.9× 295 0.8× 182 0.8× 162 0.8× 69 0.6× 11 996
Nathalie T. Reichmann 459 0.8× 303 0.8× 269 1.1× 142 0.7× 74 0.6× 11 815
Martin Schlag 570 1.0× 358 0.9× 180 0.7× 107 0.5× 49 0.4× 10 856
Junmin Zhu 445 0.8× 341 0.9× 80 0.3× 253 1.3× 93 0.8× 26 923
Paul R. McAdam 464 0.8× 519 1.3× 79 0.3× 114 0.6× 145 1.2× 22 969
Anne Derbise 501 0.9× 224 0.6× 421 1.7× 173 0.9× 65 0.5× 25 892
R. Dwayne Lunsford 593 1.1× 263 0.7× 238 1.0× 92 0.5× 67 0.6× 22 837

Countries citing papers authored by Agathe Bourgogne

Since Specialization
Citations

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

Fields of papers citing papers by Agathe Bourgogne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agathe Bourgogne

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