Nicolas Jay
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
Papers in
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- Data Management and Algorithms 12
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- Data Mining Algorithms and Applications 15
- Co-authors
- Catharina Olsen (2 shared papers)Simon Papillon‐Cavanagh (2 shared papers)Nehmé El-Hachem (2 shared papers)Gianluca Bontempi (2 shared papers)Benjamin Haibe‐Kains (2 shared papers)Amedeo Napoli (13 shared papers)Silvio Danese (1 shared paper)Pablo Andres Olivera (1 shared paper)
- Journals
- Nature Communications (4 papers)Cancer Cell (3 papers)Neuro-Oncology (2 papers)Nature Genetics (2 papers)BMC Medical Informatics and Decision Making (2 papers)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Nicolas Jay
78 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 155
- Genetics 853
- Cancer Research 333
- Neurology 330
- Molecular Biology 1.5k
- Rheumatology 144
Countries citing papers authored by Nicolas Jay
This map shows the geographic impact of Nicolas Jay'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 Nicolas Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Jay more than expected).
Fields of papers citing papers by Nicolas Jay
This network shows the impact of papers produced by Nicolas Jay. 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 Nicolas Jay. The network helps show where Nicolas Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Jay, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 365 | |
| 2 | 2016 | 311 | |
| 3 | 2019 | 235 | |
| 4 | 2013 | 214 | |
| 5 | 2017 | 196 | |
| 6 | 2019 | 187 | |
| 7 | 2019 | 159 | |
| 8 | 2020 | 130 | |
| 9 | 2008 | 127 | |
| 10 | 2019 | 125 | |
| 11 | 2008 | 102 | |
| 12 | 2006 | 73 | |
| 13 | 2004 | 68 | |
| 14 | 2021 | 63 | |
| 15 | 2018 | 63 | |
| 16 | 2020 | 58 | |
| 17 | 2008 | 55 | |
| 18 | 2013 | 54 | |
| 19 | 2017 | 54 | |
| 20 | 2017 | 53 |
About Nicolas Jay
Nicolas Jay is a scholar working on Signal Processing, Information Systems, Genetics, Computational Theory and Mathematics and Molecular Biology, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (15 papers), Data Management and Algorithms (12 papers), Rough Sets and Fuzzy Logic (10 papers), Biomedical Text Mining and Ontologies (10 papers), Semantic Web and Ontologies (8 papers), Glioma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (6 papers) and Chromatin Remodeling and Cancer (5 papers). The work is most often cited by research in Genetics (853 citations), Cancer Research (333 citations), Neurology (330 citations), Molecular Biology (1.5k citations) and Rheumatology (144 citations). Nicolas Jay has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Catharina Olsen, Simon Papillon‐Cavanagh, Nehmé El-Hachem, Gianluca Bontempi, Benjamin Haibe‐Kains, Amedeo Napoli, Silvio Danese, Pablo Andres Olivera, Laurent Peyrin‐Biroulet and Gioacchino Natoli. Their work appears in journals such as Nature Communications, Cancer Cell, Neuro-Oncology, Nature Genetics and BMC Medical Informatics and Decision Making.
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.