Grégory Nuel
Impact in
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Statistics and Probability top 10%
Papers in
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- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 6
- Genomics and Phylogenetic Studies 5
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- Algorithms and Data Compression 9
- Bayesian Methods and Mixture Models 5
- Co-authors
- Mickaël Guedj (6 shared papers)Aurélien de Reyniès (1 shared paper)Marine Jeanmougin (1 shared paper)Caroline Paccard (1 shared paper)Laëtitia Marisa (1 shared paper)André Garcia (6 shared papers)Leslie Regad (3 shared papers)Anne‐Claude Camproux (3 shared papers)
- Journals
- PLoS ONE (8 papers)Amyloid (3 papers)BMC Bioinformatics (3 papers)Algorithms for Molecular Biology (3 papers)Scientific Reports (2 papers)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Grégory Nuel
56 papers receiving 742 citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 389
- Statistics and Probability 46
- Genetics 110
- Cancer Research 59
- Immunology 72
Countries citing papers authored by Grégory Nuel
This map shows the geographic impact of Grégory Nuel'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 Grégory Nuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grégory Nuel more than expected).
Fields of papers citing papers by Grégory Nuel
This network shows the impact of papers produced by Grégory Nuel. 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 Grégory Nuel. The network helps show where Grégory Nuel may publish in the future.
Co-authors
The 25 scholars most cited alongside Grégory Nuel, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 103 | |
| 2 | 2010 | 51 | |
| 3 | 2008 | 38 | |
| 4 | AMIGene: Annotation of Microbial Genes | 2003 | 36 |
| 5 | 2012 | 35 | |
| 6 | 2021 | 33 | |
| 7 | 2010 | 29 | |
| 8 | 2010 | 29 | |
| 9 | 2017 | 26 | |
| 10 | 2006 | 25 | |
| 11 | 2011 | 23 | |
| 12 | 2014 | 23 | |
| 13 | 2020 | 23 | |
| 14 | 2008 | 22 | |
| 15 | 2008 | 21 | |
| 16 | 2009 | 19 | |
| 17 | 2010 | 18 | |
| 18 | 2016 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2004 | 13 |
About Grégory Nuel
Grégory Nuel is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Statistics and Probability and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 758 indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Algorithms and Data Compression (9 papers), Genetic Associations and Epidemiology (7 papers), Statistical Methods and Inference (6 papers), Malaria Research and Control (6 papers), Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Molecular Biology (389 citations), Statistics and Probability (46 citations), Genetics (110 citations), Cancer Research (59 citations) and Immunology (72 citations). Grégory Nuel has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Mickaël Guedj, Aurélien de Reyniès, Marine Jeanmougin, Caroline Paccard, Laëtitia Marisa, André Garcia, Leslie Regad, Anne‐Claude Camproux, Juliette Martin and Eiliv Lund. Their work appears in journals such as PLoS ONE, Amyloid, BMC Bioinformatics, Algorithms for Molecular Biology and Scientific Reports.
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.