Thomas Sécher

47 papers receiving 2.4k citations

Hit Papers

NOD2-mediated dysbiosis predisposes mice to transmissible colitis and colorectal cancer 2013 · 453 citations
4532013202620172021100200300400

Peers

Thomas Sécher
Comparison fields: 5 of 114
  • Endocrinology 207
  • Immunology 693
  • Molecular Medicine 105
  • Infectious Diseases 374
  • Molecular Biology 1.2k
Replace Matthew T. Sorbara with:
Matthew T. Sorbara Canada
Tonyia Eaves‐Pyles United States
Sarah Tomkovich United States
Caixia Ma China
Sun‐Young Chang South Korea
Yimin Yu China
Ho Pan Sham Canada
Ivan Tattoli Canada
Erwin Bohn Germany
Ernesto Peréz-Chanona United States
Thomas Sécher relative to Matthew T. Sorbara Canada Matthew T. Sorbara's profile →
Citations per field
00.5×1.5×
Matthew T. Sorbara · 1×
Citations per year

Countries citing papers authored by Thomas Sécher

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sécher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Sécher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Sécher Line = papers co-authored together Thomas Sécher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NOD2-mediated dysbiosis predisposes mice to transmissible colitis and colorectal cancer
Hit paper breakdown →
2013453
2 2010185
3 2007128
4 2012114
5 2007111
6 2017109
7 201398
8 200982
9 200974
10 201472
11 201968
12 201767
13 201467
14 201253
15 200847
16 200947
17 201647
18 202245
19 201142
20 200942

About Thomas Sécher

Thomas Sécher is a scholar working on Immunology, Endocrinology, Molecular Medicine, Pulmonary and Respiratory Medicine and Complementary and Manual Therapy, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Inhalation and Respiratory Drug Delivery (13 papers), Immune Response and Inflammation (12 papers), Gut microbiota and health (7 papers), Respiratory viral infections research (6 papers), Probiotics and Fermented Foods (5 papers), Asthma and respiratory diseases (5 papers), Protein purification and stability (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Endocrinology (207 citations), Immunology (693 citations), Molecular Medicine (105 citations), Infectious Diseases (374 citations) and Molecular Biology (1.2k citations). Thomas Sécher has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Bernhard Ryffel, Éric Oswald, Nathalie Heuzé‐Vourc'h, Jean‐Philippe Nougayrède, Michèle Boury, Mathias Chamaillard, François Erard, Gabriel Núñez, Sylvain Normand and Olivier Gaillot. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, PLoS ONE, Pharmacology & Therapeutics and Gut Microbes.

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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