Grégory Nuel
Impact in
- Statistics and Probability top 10%
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Amyloidosis: Diagnosis, Treatment, Outcomes
- RNA and protein synthesis mechanisms
Papers in
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- Gene expression and cancer classification 6
- Amyloidosis: Diagnosis, Treatment, Outcomes 5
- Bioinformatics and Genomic Networks 5
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- Algorithms and Data Compression 7
- Bayesian Methods and Mixture Models 5
- Co-authors
- Mickaël Guedj (6 shared papers)Marine Jeanmougin (1 shared paper)Laëtitia Marisa (1 shared paper)Aurélien de Reyniès (1 shared paper)Caroline Paccard (1 shared paper)André Garcia (6 shared papers)Anne‐Claude Camproux (3 shared papers)Leslie Regad (3 shared papers)
- Journals
- PLoS ONE (8 papers)Algorithms for Molecular Biology (3 papers)BMC Bioinformatics (3 papers)Amyloid (3 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)
- Partner nations
- FranceUnited StatesBenin
In The Last Decade
Grégory Nuel
56 papers receiving 756 citations
Peers
Comparison fields: 5 of 123
- Statistics and Probability 45
- Molecular Biology 351
- Cancer Research 49
- Genetics 88
- Immunology 58
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 | 104 | |
| 2 | 2010 | 51 | |
| 3 | 2008 | 38 | |
| 4 | AMIGene: Annotation of Microbial Genes | 2003 | 36 |
| 5 | 2012 | 35 | |
| 6 | 2021 | 33 | |
| 7 | 2010 | 30 | |
| 8 | 2010 | 29 | |
| 9 | 2017 | 28 | |
| 10 | 2006 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2014 | 23 | |
| 13 | 2011 | 23 | |
| 14 | 2008 | 22 | |
| 15 | 2008 | 22 | |
| 16 | 2009 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2010 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2004 | 13 |
About Grégory Nuel
Grégory Nuel is a scholar working on Molecular Biology, Artificial Intelligence, Statistics and Probability, Genetics and Public Health, Environmental and Occupational Health, having authored 58 papers that have together received 771 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Algorithms and Data Compression (7 papers), Statistical Methods and Inference (6 papers), Gene expression and cancer classification (6 papers), Bayesian Methods and Mixture Models (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Bioinformatics and Genomic Networks (5 papers) and Malaria Research and Control (4 papers). The work is most often cited by research in Statistics and Probability (45 citations), Molecular Biology (351 citations), Cancer Research (49 citations), Genetics (88 citations) and Immunology (58 citations). Grégory Nuel has collaborated with scholars based in France, United States and Benin. Frequent co-authors include Mickaël Guedj, Marine Jeanmougin, Laëtitia Marisa, Aurélien de Reyniès, Caroline Paccard, André Garcia, Anne‐Claude Camproux, Leslie Regad, Juliette Martin and Flora Alarcon. Their work appears in journals such as PLoS ONE, Algorithms for Molecular Biology, BMC Bioinformatics, Amyloid and Statistical Applications in Genetics and Molecular Biology.
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.