Eric Degryse
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Bacterial Genetics and Biotechnology
- Biotechnology top 5%
Papers in
-
- Fungal and yeast genetics research 9
- Steroid Chemistry and Biochemistry 6
- Plant tissue culture and regeneration 3
- Genomics and Phylogenetic Studies 3
- Genetics 12
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Andréa Pavirani (2 shared papers)Nicolas Glansdorff (4 shared papers)Annick Dieterle (1 shared paper)Cécile Chartier (2 shared papers)Majid Mehtali (2 shared papers)Murielle Gantzer (1 shared paper)Roberto Spagnoli (6 shared papers)Tilman Achstetter (9 shared papers)
In The Last Decade
Eric Degryse
44 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 89
- Genetics 597
- Biotechnology 127
- Molecular Biology 1k
- Hematology 196
- Food Science 208
Countries citing papers authored by Eric Degryse
This map shows the geographic impact of Eric Degryse'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 Eric Degryse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Degryse more than expected).
Fields of papers citing papers by Eric Degryse
This network shows the impact of papers produced by Eric Degryse. 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 Eric Degryse. The network helps show where Eric Degryse may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Degryse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 604 | |
| 2 | 1978 | 285 | |
| 3 | 2003 | 279 | |
| 4 | 1986 | 183 | |
| 5 | 1988 | 122 | |
| 6 | 2008 | 117 | |
| 7 | 1998 | 111 | |
| 8 | 2008 | 78 | |
| 9 | 1990 | 64 | |
| 10 | 1990 | 59 | |
| 11 | 1996 | 48 | |
| 12 | 1999 | 48 | |
| 13 | 1991 | 47 | |
| 14 | 1992 | 45 | |
| 15 | 1996 | 40 | |
| 16 | 1983 | 39 | |
| 17 | 1990 | 39 | |
| 18 | 1998 | 38 | |
| 19 | 1989 | 37 | |
| 20 | 2002 | 30 |
About Eric Degryse
Eric Degryse is a scholar working on Molecular Biology, Genetics, Hematology, Pharmacology and Biochemistry, having authored 45 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (9 papers), Bacterial Genetics and Biotechnology (8 papers), Steroid Chemistry and Biochemistry (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Leech Biology and Applications (6 papers), Plant tissue culture and regeneration (3 papers), Genomics and Phylogenetic Studies (3 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Genetics (597 citations), Biotechnology (127 citations), Molecular Biology (1k citations), Hematology (196 citations) and Food Science (208 citations). Eric Degryse has collaborated with scholars based in France, Belgium and Germany. Frequent co-authors include Andréa Pavirani, Nicolas Glansdorff, Annick Dieterle, Cécile Chartier, Majid Mehtali, Murielle Gantzer, Roberto Spagnoli, Tilman Achstetter, Catherine Duport and Maëva Subileau. Their work appears in journals such as Gene, Journal of Biotechnology, FEBS Letters, European Journal of Biochemistry and Thrombosis Research.
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.