Stéphane Biacchesi
- Epidemiology top 2%
- Infectious Diseases top 1%
- Immunology top 2%
- Animal Science and Zoology top 1%
- Molecular Biology
- Co-authors
- Peter L. CollinsBrian R. MurphyUrsula J. BuchholzMario H. SkiadopoulosMichel BrémontAnnie LamoureuxEmilie MérourKim C. Tran
- Topics
- Aquaculture disease management and microbiota (21 papers)Animal Virus Infections Studies (20 papers)Viral Infections and Vectors (16 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Stéphane Biacchesi
44 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 60
- Epidemiology 1.2k
- Infectious Diseases 1.2k
- Immunology 1.0k
- Animal Science and Zoology 422
- Molecular Biology 234
Countries citing papers authored by Stéphane Biacchesi
This map shows the geographic impact of Stéphane Biacchesi'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 Biacchesi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Biacchesi more than expected).
Fields of papers citing papers by Stéphane Biacchesi
This network shows the impact of papers produced by Stéphane Biacchesi. 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 Biacchesi. The network helps show where Stéphane Biacchesi may publish in the future.
Co-authorship network of co-authors of Stéphane Biacchesi
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Biacchesi. A scholar is included among the top collaborators of Stéphane Biacchesi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stéphane Biacchesi. Stéphane Biacchesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 32 | |
| 5 | 2 | |
| 6 | 46 | |
| 7 | 23 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | 56 | |
| 13 | 35 | |
| 14 | Fish genotype significantly influences susceptibility of juvenile rainbow trout, Oncorhynchus mykiss (Walbaum), to waterborne infection with infectious salmon anaemia virus | 0 |
| 15 | 23 | |
| 16 | 80 | |
| 17 | 79 | |
| 18 | 106 | |
| 19 | 205 | |
| 20 | Heterologous exchanges of the glycoprotein and the matrix protein in a Novirhabdovirus | 2 |
About Stéphane Biacchesi
Stéphane Biacchesi is a scholar working on Animal Science and Zoology, Infectious Diseases and Immunology, having authored 46 papers that have together received 2.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (21 papers), Animal Virus Infections Studies (20 papers) and Viral Infections and Vectors (16 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Immunology (1.0k citations) and Animal Science and Zoology (422 citations). Stéphane Biacchesi has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Peter L. Collins, Brian R. Murphy, Ursula J. Buchholz, Mario H. Skiadopoulos, Michel Brémont, Annie Lamoureux, Emilie Mérour, Michel Brémont, Kim C. Tran and Lijuan Yang. Their work appears in journals such as PLoS ONE, Journal of Virology and Scientific Reports.
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.