Aurélie Cobat

196 total papers · 16.2k total citations
66 papers, 1.9k citations indexed

About

Aurélie Cobat is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Aurélie Cobat has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 27 papers in Epidemiology and 26 papers in Immunology. Recurrent topics in Aurélie Cobat's work include Mycobacterium research and diagnosis (21 papers), Tuberculosis Research and Epidemiology (19 papers) and Leprosy Research and Treatment (15 papers). Aurélie Cobat is often cited by papers focused on Mycobacterium research and diagnosis (21 papers), Tuberculosis Research and Epidemiology (19 papers) and Leprosy Research and Treatment (15 papers). Aurélie Cobat collaborates with scholars based in France, United States and Canada. Aurélie Cobat's co-authors include Laurent Abel, Jean‐Laurent Casanova, Erwin Schurr, Alexandre Alcaïs, Alexandre Bolze, Bertrand Boisson, Yuval Itan, Aziz Belkadi, Marianna Orlova and Quentin B. Vincent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Aurélie Cobat

64 papers receiving 1.9k citations

Hit Papers

Whole-genome sequencing i... 2015 2026 2018 2022 2015 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Aurélie Cobat 842 638 602 457 448 66 1.9k
Maria Romero 403 0.5× 858 1.3× 1.2k 2.0× 378 0.8× 396 0.9× 51 2.3k
Ludmila Prokunina‐Olsson 419 0.5× 685 1.1× 847 1.4× 743 1.6× 385 0.9× 85 2.8k
Antonio Puccetti 285 0.3× 540 0.8× 894 1.5× 698 1.5× 189 0.4× 83 2.9k
Jolán E. Walter 568 0.7× 307 0.5× 1.2k 2.0× 261 0.6× 585 1.3× 120 2.4k
Glen N. Gaulton 402 0.5× 370 0.6× 1.3k 2.1× 1.0k 2.3× 357 0.8× 90 2.7k
Mikko Seppänen 341 0.4× 516 0.8× 1.4k 2.4× 344 0.8× 543 1.2× 86 2.5k
Cheng‐Lung Ku 334 0.4× 608 1.0× 1.0k 1.7× 239 0.5× 200 0.4× 42 1.6k
Annarosa Soresina 325 0.4× 383 0.6× 1.7k 2.8× 445 1.0× 641 1.4× 81 2.5k
Caterina Serra 452 0.5× 382 0.6× 585 1.0× 684 1.5× 156 0.3× 53 2.2k
Kai Kisand 549 0.7× 204 0.3× 1.2k 2.0× 597 1.3× 485 1.1× 86 2.7k

Countries citing papers authored by Aurélie Cobat

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Cobat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Cobat

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