Patrice Nony

3.6k total citations
88 papers, 2.7k citations indexed

About

Patrice Nony is a scholar working on Cardiology and Cardiovascular Medicine, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Patrice Nony has authored 88 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 13 papers in Statistics and Probability and 11 papers in Economics and Econometrics. Recurrent topics in Patrice Nony's work include Statistical Methods in Clinical Trials (13 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Meta-analysis and systematic reviews (10 papers). Patrice Nony is often cited by papers focused on Statistical Methods in Clinical Trials (13 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers) and Meta-analysis and systematic reviews (10 papers). Patrice Nony collaborates with scholars based in France, United States and Russia. Patrice Nony's co-authors include Michel Cucherat, J P Boissel, Fabrice Bonnet, Jean‐Pierre Boissel, Sylvie Chabaud, Kate Irving, François Berthézène, Jean‐Louis Terra, Philippe Moulin and François Gueyffier and has published in prestigious journals such as Circulation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Patrice Nony

83 papers receiving 2.6k citations

Peers

Patrice Nony
Comparison fields: 5 of 158
  • Cardiology and Cardiovascular Medicine 840
  • Psychiatry and Mental health 443
  • Endocrinology, Diabetes and Metabolism 348
  • Internal Medicine 342
  • Surgery 306
Replace C. Michael Stein with:
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C. Michael Stein United States View profile →
Citations per field, relative to Patrice Nony
Patrice Nony · 1×
Citations per year, relative to Patrice Nony
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Countries citing papers authored by Patrice Nony

Since Specialization
Citations

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

Fields of papers citing papers by Patrice Nony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrice Nony

This figure shows the co-authorship network connecting the top 25 collaborators of Patrice Nony. A scholar is included among the top collaborators of Patrice Nony 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 Patrice Nony. Patrice Nony 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
# Work Indexed citations
1 8
2 8
3 17
4 18
5 4
6 2
7 38
8 1
9 30
10 13
11 2
12 14
13 4
14 4
15 40
16
Critères de qualité d’une métaanalyse d’essais cliniques
1
17 1
18 3
19 12
20 7

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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