Mathilde Mosser

697 citations
10 papers · 441 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • RNA Interference and Gene Delivery
    • Viral Infectious Diseases and Gene Expression in Insects
    • Protein purification and stability

Papers in

    • Protein purification and stability 4
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • Extracellular vesicles in disease 3
    • Pancreatic function and diabetes 2

Mathilde Mosser

10 papers receiving 437 citations

Peers

Mathilde Mosser
Comparison fields: 5 of 86
  • Cancer Research 145
  • Molecular Biology 345
  • Genetics 27
  • Immunology 42
  • Immunology and Allergy 11
Replace Dominique Jégou with:
Dominique Jégou France
Laurence de Beaurepaire France
Ornella Urzì Italy
Zhengming Yang China
Qingshan Huang China
Susan Brammah Australia
Sisi He China
Tingting Zeng China
Choon Keong Lee Singapore
Mathilde Mosser relative to Dominique Jégou France Dominique Jégou's profile →
Citations per field
00.5×1.5×
Dominique Jégou · 1×
Citations per year

Countries citing papers authored by Mathilde Mosser

Since Specialization
Citations

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

Fields of papers citing papers by Mathilde Mosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2016296
2 202041
3 201230
4 202025
5 201515
6 201814
7 20119
8 20129
9 20251
10 20221

About Mathilde Mosser

Mathilde Mosser is a scholar working on Molecular Biology, Surgery, Genetics, Biotechnology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 441 indexed citations. Recurring topics across this work include Protein purification and stability (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Extracellular vesicles in disease (3 papers), Transgenic Plants and Applications (3 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers) and Solar-Powered Water Purification Methods (2 papers). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (345 citations), Genetics (27 citations), Immunology (42 citations) and Immunology and Allergy (11 citations). Mathilde Mosser has collaborated with scholars based in France and United States. Frequent co-authors include Jean‐Marie Bach, Dominique Jégou, Steffi Bösch, Laurence de Beaurepaire, Denis Chrétien, Claire Heichette, Marie Allard, Matthew Tector, A. Joseph Tector and Éric Olmos. Their work appears in journals such as Scientific Reports, Frontiers in Immunology, Biotechnology and Bioengineering, Frontiers in Bioengineering and Biotechnology and Process Biochemistry.

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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