Sarah Jégou

4.5k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

Sarah Jégou is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Sarah Jégou has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Sarah Jégou's work include Gut microbiota and health (6 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Microscopic Colitis (3 papers). Sarah Jégou is often cited by papers focused on Gut microbiota and health (6 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Microscopic Colitis (3 papers). Sarah Jégou collaborates with scholars based in France, United States and Italy. Sarah Jégou's co-authors include Harry Sokol, Mathias L. Richard, Philippe Langella, Cécilia Landman, Jacques Cosnes, Anne Bourrier, Laurent Beaugerie, Isabelle Nion–Larmurier, Philippe Seksik and David Skurnik and has published in prestigious journals such as Gut, Journal of Hepatology and Annals of the Rheumatic Diseases.

In The Last Decade

Sarah Jégou

9 papers receiving 1.4k citations

Hit Papers

Fungal microbiota dysbiosis in IBD 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Jégou France 8 1.0k 478 294 285 253 9 1.4k
Cécilia Landman France 10 894 0.9× 429 0.9× 318 1.1× 374 1.3× 224 0.9× 22 1.3k
Barry Hudspith United Kingdom 11 730 0.7× 291 0.6× 221 0.8× 374 1.3× 207 0.8× 18 1.1k
Christopher D. Packey United States 9 767 0.8× 256 0.5× 185 0.6× 270 0.9× 132 0.5× 17 1.2k
Williams Turpin Canada 16 998 1.0× 227 0.5× 301 1.0× 311 1.1× 361 1.4× 49 1.6k
Alba Santiago Spain 14 1.2k 1.2× 394 0.8× 370 1.3× 342 1.2× 160 0.6× 18 1.7k
Zuzana Jirásková Zákostelská Czechia 18 1.1k 1.1× 317 0.7× 208 0.7× 234 0.8× 310 1.2× 34 1.7k
Arancha Hevia Spain 15 1.1k 1.1× 310 0.6× 206 0.7× 273 1.0× 398 1.6× 17 1.7k
Pierre Sauvanet France 18 1.6k 1.6× 366 0.8× 287 1.0× 388 1.4× 256 1.0× 28 2.2k
Jaclyn Strauss Canada 5 1.5k 1.5× 516 1.1× 288 1.0× 197 0.7× 173 0.7× 5 2.2k
Klára Klimešová Czechia 14 807 0.8× 250 0.5× 161 0.5× 205 0.7× 181 0.7× 15 1.3k

Countries citing papers authored by Sarah Jégou

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Jégou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Jégou

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

All Works

9 of 9 papers shown
1.
Etienne‐Mesmin, Lucie, Victoria Meslier, E Fournier, et al.. (2023). In Vitro Modelling of Oral Microbial Invasion in the Human Colon. Microbiology Spectrum. 11(2). e0434422–e0434422. 10 indexed citations
2.
Malard, Florent, Aonghus Lavelle, Giorgia Battipaglia, et al.. (2021). Impact of gut fungal and bacterial communities on the outcome of allogeneic hematopoietic cell transplantation. Mucosal Immunology. 14(5). 1127–1132. 9 indexed citations
3.
Lemoinne, Sara, Astrid Kemgang, Karima Ben Belkacem, et al.. (2019). Fungi participate in the dysbiosis of gut microbiota in patients with primary sclerosing cholangitis. Gut. 69(1). 92–102. 146 indexed citations
4.
Deshayes, Samuel, Soraya Fellahi, Jean‐Philippe Bastard, et al.. (2019). Specific changes in faecal microbiota are associated with familial Mediterranean fever. Annals of the Rheumatic Diseases. 78(10). 1398–1404. 16 indexed citations
5.
Lemoinne, Sara, Astrid Kemgang, Karima Ben Belkacem, et al.. (2019). PS-126-Fungi participate in the dysbiosis of gut microbiota in patients with primary sclerosing cholangitis. Journal of Hepatology. 70(1). e78–e78. 1 indexed citations
6.
Sovran, Bruno, Julien Planchais, Sarah Jégou, et al.. (2018). Enterobacteriaceae are essential for the modulation of colitis severity by fungi. Microbiome. 6(1). 152–152. 141 indexed citations
7.
Sokol, Harry, Sarah Jégou, Claire McQuitty, et al.. (2017). Specificities of the intestinal microbiota in patients with inflammatory bowel disease and Clostridium difficile infection. Gut Microbes. 9(1). 55–60. 81 indexed citations
8.
Jacquelot, Nicolas, David Enot, Sylvie Rusakiewicz, et al.. (2016). Immunophenotyping of Stage III Melanoma Reveals Parameters Associated with Patient Prognosis. Journal of Investigative Dermatology. 136(5). 994–1001. 22 indexed citations
9.
Sokol, Harry, Hugues Aschard, Hang‐Phuong Pham, et al.. (2016). Fungal microbiota dysbiosis in IBD. Gut. 66(6). 1039–1048. 939 indexed citations breakdown →

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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