Emmanuel Quévillon
Impact in
- Biotechnology top 2%
- Listeria monocytogenes in Food Safety
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
Papers in
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- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Biochemical and Structural Characterization 1
-
- Cellular transport and secretion 2
- Co-authors
- Rodrigo López (3 shared papers)Naomi Harte (2 shared papers)S. Pillai (1 shared paper)Rolf Apweiler (1 shared paper)Nicola Mulder (1 shared paper)Gordon Langsley (2 shared papers)Edouard Yeramian (1 shared paper)Debasish Chattopadhyay (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Gene (1 paper)Bioinformatics (1 paper)Cellular Microbiology (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Emmanuel Quévillon
6 papers receiving 2.5k citations
Emmanuel Quévillon's Hit Papers
Peers
Comparison fields: 5 of 113
- Biotechnology 196
- Plant Science 774
- Horticulture 20
- Molecular Biology 1.3k
- Insect Science 180
Countries citing papers authored by Emmanuel Quévillon
This map shows the geographic impact of Emmanuel Quévillon'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 Emmanuel Quévillon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Quévillon more than expected).
Fields of papers citing papers by Emmanuel Quévillon
This network shows the impact of papers produced by Emmanuel Quévillon. 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 Emmanuel Quévillon. The network helps show where Emmanuel Quévillon may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Quévillon, 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 | InterProScan: protein domains identifier Hit paper breakdown → | 2005 | 2271 |
| 2 | 2017 | 126 | |
| 3 | 2003 | 70 | |
| 4 | 2004 | 31 | |
| 5 | 2007 | 21 | |
| 6 | 2003 | 1 |
About Emmanuel Quévillon
Emmanuel Quévillon is a scholar working on Molecular Biology, Cell Biology, Clinical Biochemistry, Public Health, Environmental and Occupational Health and Genetics, having authored 6 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers), Cellular transport and secretion (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Machine Learning in Bioinformatics (1 paper), RNA and protein synthesis mechanisms (1 paper), Biochemical and Structural Characterization (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Biotechnology (196 citations), Plant Science (774 citations), Horticulture (20 citations), Molecular Biology (1.3k citations) and Insect Science (180 citations). Emmanuel Quévillon has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Rodrigo López, Naomi Harte, S. Pillai, Rolf Apweiler, Nicola Mulder, Gordon Langsley, Edouard Yeramian, Debasish Chattopadhyay, Tobias Spielmann and Karima Brahimi. Their work appears in journals such as Nucleic Acids Research, Gene, Bioinformatics, Cellular Microbiology and Emerging infectious diseases.
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.