Eef Donné
Impact in
- Microbiology top 5%
- Microbial infections and disease research
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety
- Microbial Inactivation Methods
Papers in
-
- Salmonella and Campylobacter epidemiology 6
- Ecology 5
- Bacteriophages and microbial interactions 5
- Co-authors
- Freddy Haesebrouck (11 shared papers)Richard Ducatelle (9 shared papers)Koen Chiers (4 shared papers)I. Van Overbeke (4 shared papers)Frank Pasmans (7 shared papers)Filip Van Immerseel (5 shared papers)Filip Boyen (5 shared papers)G Salamina (1 shared paper)
- Journals
- Veterinary Microbiology (6 papers)Journal of Microbiological Methods (1 paper)Epidemiology and Infection (1 paper)Laboratory Animals (1 paper)Journal of Veterinary Medicine Series B (1 paper)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Eef Donné
12 papers receiving 387 citations
Peers
Comparison fields: 5 of 52
- Microbiology 121
- Biotechnology 146
- Food Science 213
- Endocrinology 43
- Animal Science and Zoology 55
Countries citing papers authored by Eef Donné
This map shows the geographic impact of Eef Donné'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 Eef Donné with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eef Donné more than expected).
Fields of papers citing papers by Eef Donné
This network shows the impact of papers produced by Eef Donné. 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 Eef Donné. The network helps show where Eef Donné may publish in the future.
Co-authors
The 25 scholars most cited alongside Eef Donné, 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 | 1996 | 130 | |
| 2 | 2002 | 67 | |
| 3 | 2009 | 40 | |
| 4 | 2005 | 37 | |
| 5 | 2001 | 33 | |
| 6 | 2005 | 28 | |
| 7 | 2002 | 23 | |
| 8 | 2005 | 23 | |
| 9 | 2006 | 19 | |
| 10 | 2003 | 4 | |
| 11 | 2003 | 1 | |
| 12 | 2005 | 1 |
About Eef Donné
Eef Donné is a scholar working on Food Science, Ecology, Microbiology, Endocrinology and Immunology, having authored 12 papers that have together received 406 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (6 papers), Bacteriophages and microbial interactions (5 papers), Microbial infections and disease research (4 papers), Escherichia coli research studies (4 papers), Aquaculture disease management and microbiota (3 papers), Vibrio bacteria research studies (2 papers), Vitamin C and Antioxidants Research (1 paper) and Biochemical effects in animals (1 paper). The work is most often cited by research in Microbiology (121 citations), Biotechnology (146 citations), Food Science (213 citations), Endocrinology (43 citations) and Animal Science and Zoology (55 citations). Eef Donné has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Freddy Haesebrouck, Richard Ducatelle, Koen Chiers, I. Van Overbeke, Frank Pasmans, Filip Van Immerseel, Filip Boyen, G Salamina, Nancy Binkin and Maria Pia Bucci. Their work appears in journals such as Veterinary Microbiology, Journal of Microbiological Methods, Epidemiology and Infection, Laboratory Animals and Journal of Veterinary Medicine Series B.
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.