Guy Nonnotte
Impact in
- Aquatic Science top 0.5%
- Aquaculture Nutrition and Growth
- Physiology top 2%
- Reproductive biology and impacts on aquatic species
Papers in ⓘ
- Ecology 24
- Physiological and biochemical adaptations 22
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- Aquaculture Nutrition and Growth 18
- Co-authors
- R. Kirsch (3 shared papers)Liliane Nonnotte (14 shared papers)Claude Leray (6 shared papers)J.P. Truchot (5 shared papers)Gilles Bœuf (7 shared papers)V. Maxime (5 shared papers)Karine Pichavant (5 shared papers)Didier A. Colin (6 shared papers)
- Journals
- Journal of Fish Biology (6 papers)Journal of Comparative Physiology B (2 papers)Cell and Tissue Research (2 papers)Fish Physiology and Biochemistry (2 papers)Biomarkers (1 paper)
- Partner nations
- FranceUnited StatesPoland
In The Last Decade
Guy Nonnotte
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Aquatic Science 561
- Physiology 143
- Nature and Landscape Conservation 367
- Ecology 641
- Immunology 290
Countries citing papers authored by Guy Nonnotte
This map shows the geographic impact of Guy Nonnotte'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 Guy Nonnotte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Nonnotte more than expected).
Fields of papers citing papers by Guy Nonnotte
This network shows the impact of papers produced by Guy Nonnotte. 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 Guy Nonnotte. The network helps show where Guy Nonnotte may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Nonnotte, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 129 | |
| 2 | 1977 | 76 | |
| 3 | 1978 | 73 | |
| 4 | 1995 | 67 | |
| 5 | 2000 | 67 | |
| 6 | 1993 | 58 | |
| 7 | 1986 | 57 | |
| 8 | 2004 | 56 | |
| 9 | 1985 | 50 | |
| 10 | 1985 | 48 | |
| 11 | 1990 | 43 | |
| 12 | 2002 | 43 | |
| 13 | 1986 | 42 | |
| 14 | 1981 | 37 | |
| 15 | 2018 | 31 | |
| 16 | 1979 | 29 | |
| 17 | 1994 | 21 | |
| 18 | 1986 | 20 | |
| 19 | 2018 | 20 | |
| 20 | 2006 | 19 |
About Guy Nonnotte
Guy Nonnotte is a scholar working on Ecology, Aquatic Science, Nature and Landscape Conservation, Immunology and Health, Toxicology and Mutagenesis, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (22 papers), Aquaculture Nutrition and Growth (18 papers), Fish Ecology and Management Studies (11 papers), Aquaculture disease management and microbiota (8 papers), Environmental Toxicology and Ecotoxicology (6 papers), Toxic Organic Pollutants Impact (3 papers), Ocean Acidification Effects and Responses (3 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Aquatic Science (561 citations), Physiology (143 citations), Nature and Landscape Conservation (367 citations), Ecology (641 citations) and Immunology (290 citations). Guy Nonnotte has collaborated with scholars based in France, United States and Poland. Frequent co-authors include R. Kirsch, Liliane Nonnotte, Claude Leray, J.P. Truchot, Gilles Bœuf, V. Maxime, Karine Pichavant, Didier A. Colin, Patrick Williot and C Peyraud. Their work appears in journals such as Journal of Fish Biology, Journal of Comparative Physiology B, Cell and Tissue Research, Fish Physiology and Biochemistry and Biomarkers.
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.