Stéphane Ragusa

448 citations
11 papers · 358 · h-index 7

Impact in

  • Oncology top 10%
    • Peptidase Inhibition and Analysis
  • Microbiology top 10%
    • Antimicrobial Peptides and Activities

Papers in

    • Peptidase Inhibition and Analysis 4
    • Cancer Risks and Factors 3
    • Global Cancer Incidence and Screening 3
    • BRCA gene mutations in cancer 3

Stéphane Ragusa

8 papers receiving 338 citations

Peers

Stéphane Ragusa
Comparison fields: 5 of 55
  • Oncology 267
  • Microbiology 35
  • Cancer Research 56
  • Cellular and Molecular Neuroscience 51
  • Molecular Biology 178
Replace Hiroki Okanishi with:
Hiroki Okanishi Japan
Brian Dunlap United States
Amanda B. Parrish United States
Marta Spodzieja Poland
Melissa J. Leyva United States
Takeshi Naito Japan
Regina Tugyi Hungary
Lorenzo Cianni Brazil
Suruchi Aggarwal India
Jodi B. Lubetsky United States
Stéphane Ragusa relative to Hiroki Okanishi Japan Hiroki Okanishi's profile →
Citations per field
00.5×10.2×
Hiroki Okanishi · 1×
Citations per year

Countries citing papers authored by Stéphane Ragusa

Since Specialization
Citations

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

Fields of papers citing papers by Stéphane Ragusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998110
2 199876
3 199960
4 199955
5 200936
6 201510
7 20198
8 20083
9 20170
10 20250
11 20160

About Stéphane Ragusa

Stéphane Ragusa is a scholar working on Oncology, Genetics, Cancer Research, Molecular Biology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 358 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (3 papers), BRCA gene mutations in cancer (3 papers), Cancer Risks and Factors (3 papers), Global Cancer Incidence and Screening (3 papers), Neuropeptides and Animal Physiology (2 papers), Signaling Pathways in Disease (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Oncology (267 citations), Microbiology (35 citations), Cancer Research (56 citations), Cellular and Molecular Neuroscience (51 citations) and Molecular Biology (178 citations). Stéphane Ragusa has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Thierry Meinnel, Sylvain Blanquet, Christine Lazennec, Luc Patiny, Frédéric Dardel, Patrick Mouchet, Vincent Dive, Françoise Clavel‐Chapelon, Jacques Bénichou and Vivian Viallon. Their work appears in journals such as Journal of Molecular Biology, Cancer Research, European Journal of Cancer, Breast Cancer Research and Treatment and European Radiology.

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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