Sébastien Dadé

601 citations
15 papers · 487 · h-index 9

Impact in

  • Microbiology top 10%
    • Antimicrobial Peptides and Activities
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Reproductive System and Pregnancy

Papers in

Sébastien Dadé

15 papers receiving 480 citations

Peers

Sébastien Dadé
Comparison fields: 5 of 78
  • Microbiology 41
  • Immunology 117
  • Immunology and Allergy 22
  • Public Health, Environmental and Occupational Health 95
  • Cancer Research 48
Replace Meeny de Haan-Meulman with:
Meeny de Haan-Meulman Netherlands
Vladislava Paharkova-Vatchkova United States
Atanu K. Khatua United States
Jesús Áncer‐Rodríguez Mexico
Renzo D'Amelio Italy
Wenping Kao China
Junko Nishitani United States
Mingjing Hu Australia
Łukasz Wicherek Poland
Sébastien Dadé relative to Meeny de Haan-Meulman Netherlands Meeny de Haan-Meulman's profile →
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Citations per year

Countries citing papers authored by Sébastien Dadé

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Dadé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007161
2 201256
3 200949
4 200546
5 200442
6 200338
7 201530
8 201721
9 201913
10 20178
11 20197
12 20207
13 20216
14 20182
15 20201

About Sébastien Dadé

Sébastien Dadé is a scholar working on Immunology, Cancer Research, Molecular Biology, Physiology and Endocrine and Autonomic Systems, having authored 15 papers that have together received 487 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Protease and Inhibitor Mechanisms (2 papers), Genetic Associations and Epidemiology (2 papers), Epigenetics and DNA Methylation (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Inflammation biomarkers and pathways (2 papers), Reproductive Biology and Fertility (1 paper) and Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Microbiology (41 citations), Immunology (117 citations), Immunology and Allergy (22 citations), Public Health, Environmental and Occupational Health (95 citations) and Cancer Research (48 citations). Sébastien Dadé has collaborated with scholars based in France, United Kingdom and Lebanon. Frequent co-authors include Nicolas Guyot, Thierry Moreau, Sandrine Dallet‐Choisy, Kévin Baranger, Marie-Louise Zani, Isabelle Callebaut, Philippe Monget, Sophie Visvikis‐Siest, Rozenn Dalbiès‐Tran and Martine Bontoux. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, BMC Medical Genomics, Clinical Epigenetics and Journal of Biological Chemistry.

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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