Thomas Mosser

1.0k citations
13 papers · 852 · h-index 11

Impact in

    • Vibrio bacteria research studies
    • Escherichia coli research studies
  • Aging top 5%

Papers in

    • Vibrio bacteria research studies 4
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • Aquaculture disease management and microbiota 2

Thomas Mosser

13 papers receiving 845 citations

Peers

Thomas Mosser
Comparison fields: 5 of 86
  • Endocrinology 170
  • Aging 50
  • Immunology 576
  • Molecular Medicine 50
  • Radiology, Nuclear Medicine and Imaging 143
Replace Massimiliano Biagini with:
Massimiliano Biagini Italy
Jeffrey K. Ichikawa United States
Nihal A. Okan United States
Sujoy Chatterjee United States
Oliver Hecht United Kingdom
Makoto Naito Japan
Marius Surleac Romania
Haruka Momose Japan
Gerd Lipowsky Latvia
Kathryn Nixdorff Germany
Thomas Mosser relative to Massimiliano Biagini Italy Massimiliano Biagini's profile →
Citations per field
00.5×10.7×
Massimiliano Biagini · 1×
Citations per year

Countries citing papers authored by Thomas Mosser

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Mosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Mosser, 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 Mosser Line = papers co-authored together Thomas Mosser links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2003211
2 2000177
3 2002177
4 201092
5 201545
6 201531
7 201525
8 200924
9 201723
10 201220
11 201119
12 20175
13 20173

About Thomas Mosser

Thomas Mosser is a scholar working on Endocrinology, Immunology, Ecology, Genetics and Aging, having authored 13 papers that have together received 852 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Agriculture Sustainability and Environmental Impact (2 papers), Immunotherapy and Immune Responses (2 papers), Cassava research and cyanide (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Endocrinology (170 citations), Aging (50 citations), Immunology (576 citations), Molecular Medicine (50 citations) and Radiology, Nuclear Medicine and Imaging (143 citations). Thomas Mosser has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Dominique Housset, Claudine Darnault, Bernard Malissen, Juan C. Fontecilla‐Camps, Jean‐Baptiste Reiser, Gilbert Mazza, Claude Grégoire, Anne‐Marie Schmitt‐Verhulst, Annick Guimezanes and Ivan Matić. Their work appears in journals such as Comptes Rendus Géoscience, Nature Immunology, Applied and Environmental Microbiology, Frontiers in Microbiology and Biogerontology.

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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