G. Plassiart

769 citations
11 papers · 458 · h-index 7

Impact in

    • Connective Tissue Growth Factor Research
    • TGF-β signaling in diseases
    • Wnt/β-catenin signaling in development and cancer
    • Animal Nutrition and Physiology
    • Animal Virus Infections Studies

Papers in

G. Plassiart

11 papers receiving 442 citations

Peers

G. Plassiart
Comparison fields: 5 of 65
  • Molecular Biology 337
  • Animal Science and Zoology 39
  • Parasitology 22
  • Immunology 66
  • Microbiology 19
Replace Jeeraphong Thanongsaksrikul with:
Jeeraphong Thanongsaksrikul Thailand
John D. Meissner United States
Nieves Sandoval C. Peru
Tomoko Ishida Japan
Helen M. Garnett South Africa
Quentin Tonelli United States
Wolfgang Vahrson United States
Mina Lee Vernon United States
E. M. Macdonald United States
C. A. Phillips United States
G. Plassiart relative to Jeeraphong Thanongsaksrikul Thailand Jeeraphong Thanongsaksrikul's profile →
Citations per field
00.5×1.5×2.4×
Jeeraphong Thanongsaksrikul · 1×
Citations per year

Countries citing papers authored by G. Plassiart

Since Specialization
Citations

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

Fields of papers citing papers by G. Plassiart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside G. Plassiart, 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 G. Plassiart Line = papers co-authored together G. Plassiart links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1992265
2 199269
3 199140
4
Rickettsia-like organism infecting juvenile sea-bass Dicentrarchus labrax
199634
5 199017
6 201712
7 201410
8 20034
9 19933
10 19932
11 19912

About G. Plassiart

G. Plassiart is a scholar working on Animal Science and Zoology, Infectious Diseases, Immunology, Parasitology and Molecular Biology, having authored 11 papers that have together received 458 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (3 papers), Animal Virus Infections Studies (3 papers), Renal and related cancers (2 papers), Bird parasitology and diseases (2 papers), Aquaculture disease management and microbiota (2 papers), Comparative Animal Anatomy Studies (1 paper), Paleontology and Evolutionary Biology (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Molecular Biology (337 citations), Animal Science and Zoology (39 citations), Parasitology (22 citations), Immunology (66 citations) and Microbiology (19 citations). G. Plassiart has collaborated with scholars based in France, Canada and Morocco. Frequent co-authors include Véronique Joliot, Bernard Perbal, J Crochet, Ginette Dambrine, C. Martinerie, Y. Chérel, Monique Wyers, Yannick Ledoré, Claire de Boisséson and Laurent Bigarré. Their work appears in journals such as Avian Diseases, Molecular and Cellular Biology, Bulletin of the European Association of Fish Pathologists, Diseases of Aquatic Organisms and Research in Veterinary Science.

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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