Etienne Baise
Impact in
- Equine top 2%
- Biotechnology top 2%
- Enzyme Production and Characterization
Papers in
- Equine 2
-
- Cell Adhesion Molecules Research 5
- Co-authors
- Georges FellerCharles GerdayE. NarinxMohamed AittalebJean Louis ArpignySabine GénicotC. GerdayJean‐Pierre Chessa
In The Last Decade
Etienne Baise
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Equine 55
- Biotechnology 269
- Clinical Biochemistry 77
- Molecular Biology 645
- Ecology 173
Countries citing papers authored by Etienne Baise
This map shows the geographic impact of Etienne Baise'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 Etienne Baise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etienne Baise more than expected).
Fields of papers citing papers by Etienne Baise
This network shows the impact of papers produced by Etienne Baise. 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 Etienne Baise. The network helps show where Etienne Baise may publish in the future.
Co-authors
The 25 scholars most cited alongside Etienne Baise, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 21 | |
| 2 | 2015 | 9 | |
| 3 | 2015 | 16 | |
| 4 | Allelic and functional characterization of farm animals interferon-dependent MX dynamins for innate resistance to influenza virus. | 2008 | 1 |
| 5 | 2007 | 9 | |
| 6 | 2007 | 8 | |
| 7 | 2007 | 55 | |
| 8 | 2005 | 12 | |
| 9 | 2005 | 6 | |
| 10 | 2005 | 37 | |
| 11 | Atypical Myopathy (Atypical Myoglobinuria) | 2004 | 11 |
| 12 | 2004 | 11 | |
| 13 | 2004 | 27 | |
| 14 | 2004 | 14 | |
| 15 | Diagnostic différentiel en cas de présomption de myopathie atypique des équidés : illustration au travers de cas référés à la Faculté de Médecine Vétérinaire de l'Université de Liège au cours du printemps 2003 | 2003 | 10 |
| 16 | 2003 | 25 | |
| 17 | 2003 | 14 | |
| 18 | 2002 | 20 | |
| 19 | 2001 | 56 | |
| 20 | 1997 | 100 |
About Etienne Baise
Etienne Baise is a scholar working on Equine, Immunology and Allergy, Clinical Biochemistry, Immunology and Biotechnology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), Metabolism and Genetic Disorders (5 papers), Cell Adhesion Molecules Research (5 papers), T-cell and B-cell Immunology (4 papers), Muscle metabolism and nutrition (3 papers), Enzyme Catalysis and Immobilization (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Equine (55 citations), Biotechnology (269 citations), Clinical Biochemistry (77 citations), Molecular Biology (645 citations) and Ecology (173 citations). Etienne Baise has collaborated with scholars based in Belgium, France and Vietnam. Frequent co-authors include Georges Feller, Charles Gerday, E. Narinx, Mohamed Aittaleb, Jean Louis Arpigny, Sabine Génicot, C. Gerday, Jean‐Pierre Chessa, Ioan Petrescu and Daniël Desmecht. Their work appears in journals such as Gene, Journal of Interferon & Cytokine Research, BMC Veterinary Research, Equine Veterinary Journal and FEMS Microbiology Reviews.
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.