G. Plassiart

776 citations
13 papers · 681 · h-index 8

Impact in

Papers in

G. Plassiart

13 papers receiving 645 citations

Peers

G. Plassiart
Comparison fields: 5 of 71
  • Animal Science and Zoology 174
  • Infectious Diseases 184
  • Molecular Biology 357
  • Agronomy and Crop Science 43
  • Genetics 110
Replace Christopher T. Cornell with:
Christopher T. Cornell United States
Yongxi Dou China
Deguang Song China
Brigitte Sigrist Switzerland
Dieter Burger United States
Kousuke Hanada Japan
Debasis Panda United States
Ryan Kuzmickas United States
Ginette Dambrine France
Henan Zhu United Kingdom
G. Plassiart relative to Christopher T. Cornell United States Christopher T. Cornell's profile →
Citations per field
00.5×1.7×
Christopher T. Cornell · 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 25 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

13 of 13 papers shown
#Work
1 1992280
2 2011193
3 199274
4 199142
5
Rickettsia-like organism infecting juvenile sea-bass Dicentrarchus labrax
199636
6 199018
7 201713
8 201413
9 20034
10 19933
11 19932
12 19912
13 19881

About G. Plassiart

G. Plassiart is a scholar working on Animal Science and Zoology, Parasitology, Infectious Diseases, Immunology and Agronomy and Crop Science, having authored 13 papers that have together received 681 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (5 papers), Animal Nutrition and Physiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Animal Disease Management and Epidemiology (2 papers), Virus-based gene therapy research (2 papers), Bird parasitology and diseases (2 papers), Renal and related cancers (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Animal Science and Zoology (174 citations), Infectious Diseases (184 citations), Molecular Biology (357 citations), Agronomy and Crop Science (43 citations) and Genetics (110 citations). G. Plassiart has collaborated with scholars based in France, Belgium and Ivory Coast. Frequent co-authors include Bernard Perbal, Janine Crochet, C. Martinerie, Véronique Joliot, Ginette Dambrine, Bernadette Le Normand, Anouk Decors, Jean‐Luc Guérin, Ghislaine Le Gall-Reculé and F. Zwingelstein. Their work appears in journals such as Avian Diseases, Molecular and Cellular Biology, Veterinary Record, Bulletin of the European Association of Fish Pathologists 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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