Nicolás Paris

1.7k total citations
35 papers, 631 citations indexed

About

Nicolás Paris is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Nicolás Paris has authored 35 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Nicolás Paris's work include Long-Term Effects of COVID-19 (5 papers), Machine Learning in Healthcare (4 papers) and Shoulder Injury and Treatment (4 papers). Nicolás Paris is often cited by papers focused on Long-Term Effects of COVID-19 (5 papers), Machine Learning in Healthcare (4 papers) and Shoulder Injury and Treatment (4 papers). Nicolás Paris collaborates with scholars based in France, Spain and United States. Nicolás Paris's co-authors include Christel Daniel, Antoine Neuraz, Mélodie Bernaux, Anita Burgun, Nicolas Hoertel, Alexandre Gramfort, Nathanaël Beeker, Frédéric Limosin, Marina Sánchez‐Rico and Raphaël Vernet and has published in prestigious journals such as PLoS ONE, Molecular Psychiatry and British journal of surgery.

In The Last Decade

Nicolás Paris

29 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolás Paris France 13 192 151 104 78 77 35 631
Mark Daley Canada 17 377 2.0× 238 1.6× 286 2.8× 19 0.2× 97 1.3× 84 1.2k
Jan Homolak Croatia 14 107 0.6× 51 0.3× 56 0.5× 16 0.2× 55 0.7× 47 725
Vikas Pareek India 13 181 0.9× 243 1.6× 237 2.3× 42 0.5× 38 0.5× 40 754
Chengxi Zang United States 10 47 0.2× 184 1.2× 78 0.8× 80 1.0× 62 0.8× 30 415
Feixiong Cheng United States 10 112 0.6× 45 0.3× 74 0.7× 9 0.1× 87 1.1× 17 554
Aihua Ou China 15 146 0.8× 28 0.2× 41 0.4× 10 0.1× 92 1.2× 54 638
Mei Ma China 15 324 1.7× 10 0.1× 39 0.4× 42 0.5× 106 1.4× 86 996
Salman Azhar United States 16 147 0.8× 296 2.0× 187 1.8× 42 0.5× 55 0.7× 31 1.0k
Shashank Agarwal United States 17 170 0.9× 355 2.4× 107 1.0× 46 0.6× 207 2.7× 67 950
John‐Paul J. Yu United States 17 340 1.8× 150 1.0× 8 0.1× 9 0.1× 60 0.8× 68 1.4k

Countries citing papers authored by Nicolás Paris

Since Specialization
Citations

This map shows the geographic impact of Nicolás Paris'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 Nicolás Paris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolás Paris more than expected).

Fields of papers citing papers by Nicolás Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolás Paris. 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 Nicolás Paris. The network helps show where Nicolás Paris may publish in the future.

Co-authorship network of co-authors of Nicolás Paris

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolás Paris. A scholar is included among the top collaborators of Nicolás Paris 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 Nicolás Paris. Nicolás Paris 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.
Paris, Nicolás, et al.. (2025). Resilience of the quantum critical line in the Schmid transition. Physical review. B.. 111(6). 1 indexed citations
2.
Lamer, Antoine, et al.. (2024). Data Lake, Data Warehouse, Datamart, and Feature Store: Their Contributions to the Complete Data Reuse Pipeline. JMIR Medical Informatics. 12. e54590–e54590.
3.
Sirveaux, François, Isabelle Clerc‐Urmès, Nicolás Paris, et al.. (2023). Predictive factors of return‐to‐work trajectory after work‐related rotator cuff syndrome: A prospective study of 96 workers. American Journal of Industrial Medicine. 66(9). 759–774. 1 indexed citations
4.
Lamer, Antoine, et al.. (2022). Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study. JMIR Medical Informatics. 10(10). e38936–e38936. 5 indexed citations
5.
Layese, Richard, et al.. (2022). Paradoxical reactions and biologic agents: a French cohort study of 9303 patients. British Journal of Dermatology. 187(5). 676–683. 9 indexed citations
6.
Hoertel, Nicolas, Marina Sánchez‐Rico, Raphaël Vernet, et al.. (2021). Observational study of haloperidol in hospitalized patients with COVID-19. PLoS ONE. 16(2). e0247122–e0247122. 33 indexed citations
7.
Hoertel, Nicolas, Marina Sánchez‐Rico, Raphaël Vernet, et al.. (2021). Observational Study of Chlorpromazine in Hospitalized Patients with COVID-19. Clinical Drug Investigation. 41(3). 221–233. 31 indexed citations
8.
Sánchez‐Rico, Marina, Frédéric Limosin, Raphaël Vernet, et al.. (2021). Hydroxyzine Use and Mortality in Patients Hospitalized for COVID-19: A Multicenter Observational Study. Journal of Clinical Medicine. 10(24). 5891–5891. 11 indexed citations
9.
Hoertel, Nicolas, Marina Sánchez‐Rico, Raphaël Vernet, et al.. (2021). Dexamethasone use and mortality in hospitalized patients with coronavirus disease 2019: A multicentre retrospective observational study. British Journal of Clinical Pharmacology. 87(10). 3766–3775. 23 indexed citations
10.
Khonsari, Roman Hossein, Mélodie Bernaux, Jill-Jênn Vie, et al.. (2021). Risks of early mortality and pulmonary complications following surgery in patients with COVID-19. British journal of surgery. 108(4). e158–e159. 5 indexed citations
11.
Hoertel, Nicolas, Marina Sánchez‐Rico, Raphaël Vernet, et al.. (2021). Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study. Molecular Psychiatry. 26(9). 5199–5212. 174 indexed citations
12.
Paris, Nicolás, Antoine Lamer, & A. Parrot. (2021). Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study. JMIR Medical Informatics. 9(12). e30970–e30970. 16 indexed citations
13.
Neuraz, Antoine, Ivan Lerner, Nicolás Paris, et al.. (2020). Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic. Journal of Medical Internet Research. 22(8). e20773–e20773. 52 indexed citations
14.
Lerner, Ivan, Nicolás Paris, & Xavier Tannier. (2019). Terminologies augmented recurrent neural network model for clinical\n named entity recognition. arXiv (Cornell University). 25 indexed citations
15.
Vo, Pamela, Nicolás Paris, Aikaterini Bilitou, et al.. (2018). Burden of Migraine in Europe Using Self-Reported Digital Diary Data from the Migraine Buddy© Application. Neurology and Therapy. 7(2). 321–332. 49 indexed citations
16.
Daniel, Christel, et al.. (2018). Initializing a hospital-wide data quality program. The AP-HP experience.. Computer Methods and Programs in Biomedicine. 181. 104804–104804. 27 indexed citations
17.
18.
Daniel, Christel, Kerstin Forsberg, Éric Zapletal, et al.. (2016). Cross border semantic interoperability for clinical research: the EHR4CR semantic resources and services.. PubMed Central. 2016. 51–9. 9 indexed citations
19.
Lemale, Julie, et al.. (2010). Membrane progestin receptors: beyond the controversy, can we move forward?. BioMolecular Concepts. 1(1). 41–47. 5 indexed citations
20.
Paris, Nicolás, et al.. (2008). Décollement épiphysaire fémoral proximal bilatéral chez un nourrisson atteint d’épilepsie généralisée. À propos d’une observation. Revue de Chirurgie Orthopédique et Réparatrice de l Appareil Moteur. 94(4). 403–406. 1 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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