Nicolas Jay

4.4k total citations
49 papers, 1.1k citations indexed

About

Nicolas Jay is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Nicolas Jay has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in General Health Professions. Recurrent topics in Nicolas Jay's work include Data Mining Algorithms and Applications (4 papers), Data Management and Algorithms (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Nicolas Jay is often cited by papers focused on Data Mining Algorithms and Applications (4 papers), Data Management and Algorithms (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Nicolas Jay collaborates with scholars based in France, Canada and United States. Nicolas Jay's co-authors include Catharina Olsen, Benjamin Haibe‐Kains, Gianluca Bontempi, Nehmé El-Hachem, Simon Papillon‐Cavanagh, Silvio Danese, Pablo A. Olivera, Laurent Peyrin‐Biroulet, Gioacchino Natoli and Françis Guillemin and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Nicolas Jay

49 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nicolas Jay France 16 232 186 144 141 137 49 1.1k
Johannes Lotz Germany 25 269 1.2× 206 1.1× 180 1.3× 198 1.4× 136 1.0× 70 1.6k
Kenichi Satoh Japan 18 177 0.8× 357 1.9× 140 1.0× 106 0.8× 163 1.2× 85 1.1k
Rosline Hassan Malaysia 24 297 1.3× 116 0.6× 144 1.0× 140 1.0× 70 0.5× 140 1.7k
Katsuhiko Takabayashi Japan 18 167 0.7× 120 0.6× 83 0.6× 293 2.1× 171 1.2× 82 1.6k
Xiaoyan Li China 17 111 0.5× 139 0.7× 79 0.5× 126 0.9× 52 0.4× 59 1.2k
Amir Reza Radmard Iran 19 118 0.5× 265 1.4× 329 2.3× 424 3.0× 189 1.4× 76 1.5k
Tatsuya Hayashi Japan 29 314 1.4× 214 1.2× 133 0.9× 263 1.9× 328 2.4× 117 2.4k
Giuseppe d’Onofrio Italy 23 238 1.0× 207 1.1× 283 2.0× 310 2.2× 275 2.0× 83 2.4k
Péter Bayer Austria 20 175 0.8× 122 0.7× 135 0.9× 87 0.6× 81 0.6× 59 1.1k
Zhiyong Zhang China 16 248 1.1× 600 3.2× 285 2.0× 109 0.8× 251 1.8× 70 1.7k

Countries citing papers authored by Nicolas Jay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nicolas Jay

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Jay. A scholar is included among the top collaborators of Nicolas Jay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Jay. Nicolas Jay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Chen, Nicolas Jay, Shanshan Zhang, et al.. (2025). Proteome‐Wide Mendelian Randomization Identifies Candidate Causal Proteins for Cardiovascular Diseases. PubMed. 6(2). 2500003–2500003. 1 indexed citations
2.
Potier, A., et al.. (2022). Pharmaceutical algorithms set in a real time clinical decision support targeting high-alert medications applied to pharmaceutical analysis. International Journal of Medical Informatics. 160. 104708–104708. 6 indexed citations
3.
Popovic, Batric, et al.. (2022). Outcomes after acute coronary syndrome in patients with inflammatory bowel disease. Heart and Vessels. 37(9). 1604–1610. 4 indexed citations
4.
Jeulin, Hélène, Karine Legrand, Nicolas Jay, et al.. (2021). Seroprevalence of SARS-CoV-2, Symptom Profiles and Sero-Neutralization in a Suburban Area, France. Viruses. 13(6). 1076–1076. 9 indexed citations
5.
Brahimi, Fouad, Alba Galán, Pablo F. Barcelona, et al.. (2020). Alternative Splicing of a Receptor Intracellular Domain Yields Different Ectodomain Conformations, Enabling Isoform-Selective Functional Ligands. iScience. 23(9). 101447–101447. 4 indexed citations
6.
Gayden, Tenzin, Brendan C. Dickson, Hamid Nikbakht, et al.. (2019). Abstract 756: Whole exome sequencing identifies frequent mutations of PTPRB and KDR in secondary angiosarcoma. Cancer Research. 79(13_Supplement). 756–756. 1 indexed citations
7.
Coulet, Adrien, Nigam H. Shah, Maxime Wack, et al.. (2018). Predicting the need for a reduced drug dose, at first prescription. Scientific Reports. 8(1). 15558–15558. 7 indexed citations
8.
Ahn, Ryuhjin, Alicia M. Bolt, Steven Hébert, et al.. (2017). The Shc1 adaptor simultaneously balances Stat1 and Stat3 activity to promote breast cancer immune suppression. Nature Communications. 8(1). 14638–14638. 48 indexed citations
9.
Lévesque, Nancy, Daniel Leclerc, Tenzin Gayden, et al.. (2016). Murine diet/tissue and human brain tumorigenesis alter Mthfr/MTHFR 5′-end methylation. Mammalian Genome. 27(3-4). 122–134. 4 indexed citations
10.
Séverac, François, et al.. (2015). Non-redundant association rules between diseases and medications: an automated method for knowledge base construction. BMC Medical Informatics and Decision Making. 15(1). 29–29. 9 indexed citations
11.
Kleinman, Claudia L., Margherita Doria, Erica Giuliani, et al.. (2014). HIV-1 Infection Causes a Down-Regulation of Genes Involved in Ribosome Biogenesis. PLoS ONE. 9(12). e113908–e113908. 20 indexed citations
12.
Fresson, Jeanne, et al.. (2013). Socioeconomic Deprivation and Hospital Length of Stay. Medical Care. 51(6). 548–554. 8 indexed citations
13.
Perez, Manuela, T. Haumont, Alain Blum, et al.. (2009). Anatomically based comparison of the different transthoracic routes for colon ascension after total esogastrectomy. Surgical and Radiologic Anatomy. 32(1). 63–68. 3 indexed citations
14.
Jay, Nicolas, Damien Barraud, Aurélie Cravoisy, et al.. (2008). Metformin-associated lactic acidosis in an intensive care unit. Critical Care. 12(6). R149–R149. 114 indexed citations
15.
16.
Flabbée, J., Nicolas Petit, Nicolas Jay, et al.. (2008). Original article: The economic costs of severe anaphylaxis in France: an inquiry carried out by the Allergy Vigilance Network. Allergy. 63(3). 360–365. 36 indexed citations
17.
Albuisson, Éliane, et al.. (2007). Genetic profiling in healthy subjects from the Stanislas cohort based on 24 polymorphisms: effects on biological variables. Clinical Chemistry and Laboratory Medicine (CCLM). 46(1). 64–72. 1 indexed citations
18.
Kessler, M., et al.. (2006). Excess risk of cancer in renal transplant patients. Transplant International. 19(11). 908–914. 71 indexed citations
19.
Nicolino, Marc, et al.. (2004). Clinical and biological assessments of the undervirilized male. British Journal of Urology. 93(s3). 20–25. 19 indexed citations
20.
Bollet, Marc A., René Anxionnat, Pierre Bey, et al.. (2004). Efficacy and morbidity of arc-therapy radiosurgery for cerebral arteriovenous malformations: a comparison with the natural history. International Journal of Radiation Oncology*Biology*Physics. 58(5). 1353–1363. 63 indexed citations

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.

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