Emmanuel Ruffet

462 citations
12 papers · 383 indexed · h-index 11

Emmanuel Ruffet

12 papers receiving 378 citations

Peers

Emmanuel Ruffet
Comparison fields: 5 of 70
  • Oncology 133
  • Cellular and Molecular Neuroscience 85
  • Molecular Biology 237
  • Endocrinology, Diabetes and Metabolism 51
  • Biotechnology 26
Replace Ruth Tyler‐Cross with:
Ruth Tyler‐Cross United States
L. Juliano Brazil
Kiyoshi Kyono Japan
Spencer Lin United States
Zhixian Lu United States
Zhihe Kuang Australia
Jianbo Liu China
John E. Battersby New Zealand
Birgitta Tomkinson Sweden
Osamu Makabe Japan
Emmanuel Ruffet relative to Ruth Tyler‐Cross United States Ruth Tyler‐Cross's profile →
Citations per field
00.5×3.9×
Ruth Tyler‐Cross · 1×
Citations per year

Countries citing papers authored by Emmanuel Ruffet

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Ruffet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 200518
2 200334
3 200011
4 199952
5 199828
6 199884
7 199847
8 199734
9 199732
10 199614
11 19947
12 199222

About Emmanuel Ruffet

Emmanuel Ruffet is a scholar working on Microbiology, Cellular and Molecular Neuroscience, Molecular Medicine, Oncology and Molecular Biology, having authored 12 papers that have together received 383 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Neuropeptides and Animal Physiology (4 papers), Signaling Pathways in Disease (3 papers), Glycosylation and Glycoproteins Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Antimicrobial Peptides and Activities (2 papers), Chemical Synthesis and Analysis (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Oncology (133 citations), Cellular and Molecular Neuroscience (85 citations), Molecular Biology (237 citations), Endocrinology, Diabetes and Metabolism (51 citations) and Biotechnology (26 citations). Emmanuel Ruffet has collaborated with scholars based in France, Denmark and Switzerland. Frequent co-authors include Cynthia Marie‐Claire, Marie‐Claude Fournié‐Zaluski, Bernárd P. Roques, Ann Beaumont, Gilles Tiraboschi, Raymond Ardaillou, Sophie Vandermeersch, Dominique Chansel, S Czekalski and Timothy John Hobley. Their work appears in journals such as Scandinavian Journal of Immunology, Biochemistry, Protein Science, FEBS Letters and Proteins Structure Function and Bioinformatics.

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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