Patrice Nony
- Cardiology and Cardiovascular Medicine top 2%
- Psychiatry and Mental health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Internal Medicine top 1%
- Surgery top 10%
- Co-authors
- Michel CucheratJ P BoisselFabrice BonnetJean‐Pierre BoisselSylvie ChabaudKate IrvingFrançois BerthézèneJean‐Louis Terra
- Topics
- Statistical Methods in Clinical Trials (13 papers)Health Systems, Economic Evaluations, Quality of Life (11 papers)Meta-analysis and systematic reviews (10 papers)
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Patrice Nony
83 papers receiving 2.6k citations
Peers
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
Countries citing papers authored by Patrice Nony
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
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
| # | 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 |
About Patrice Nony
Patrice Nony is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Internal Medicine, having authored 88 papers that have together received 2.7k indexed citations. Recurring topics across this 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). The work is most often cited by research in Internal Medicine (342 citations), Cardiology and Cardiovascular Medicine (840 citations) and Psychiatry and Mental health (443 citations). Patrice Nony has collaborated with scholars based in France, United States and Russia. Frequent 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. Their work appears in journals such as Circulation, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.