Frank Pétavy
Impact in
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Nephrology top 5%
- Parathyroid Disorders and Treatments
Papers in
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- Advanced Causal Inference Techniques 8
- Statistical Methods in Clinical Trials 8
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- Parathyroid Disorders and Treatments 6
- Co-authors
- Iman El‐HariryGuido RasiMarc‐Oliver GrimmUwe TreiberMarco R. de GrootD. J. RichelPhilippe BeuzebocChristian Wülfing
- Journals
- Clinical Pharmacology & Therapeutics (4 papers)Statistics in Biopharmaceutical Research (2 papers)Nature Reviews Drug Discovery (2 papers)British Journal of Clinical Pharmacology (2 papers)Nephrology Dialysis Transplantation (2 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Frank Pétavy
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 138
- Nephrology 118
- Health Informatics 19
- Oncology 202
- Pulmonary and Respiratory Medicine 231
Countries citing papers authored by Frank Pétavy
This map shows the geographic impact of Frank Pétavy'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 Frank Pétavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Pétavy more than expected).
Fields of papers citing papers by Frank Pétavy
This network shows the impact of papers produced by Frank Pétavy. 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 Frank Pétavy. The network helps show where Frank Pétavy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank Pétavy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 5 | |
| 2 | 2022 | 7 | |
| 3 | 2020 | 11 | |
| 4 | 2020 | 47 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 99 | |
| 7 | 2019 | 14 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 34 | |
| 11 | 2013 | 40 | |
| 12 | 2013 | 4 | |
| 13 | 2012 | 50 | |
| 14 | 2011 | 10 | |
| 15 | 2010 | 25 | |
| 16 | 2010 | 20 | |
| 17 | 2010 | 75 | |
| 18 | 2010 | 15 | |
| 19 | 2009 | 17 | |
| 20 | 2005 | 41 |
About Frank Pétavy
Frank Pétavy is a scholar working on Statistics and Probability, Nephrology, Economics and Econometrics, Pathology and Forensic Medicine and Rheumatology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (12 papers), Advanced Causal Inference Techniques (8 papers), Statistical Methods in Clinical Trials (8 papers), Parathyroid Disorders and Treatments (6 papers), Vitamin D Research Studies (4 papers), Ethics in Clinical Research (3 papers), Pharmaceutical Economics and Policy (3 papers) and Respiratory and Cough-Related Research (2 papers). The work is most often cited by research in Statistics and Probability (138 citations), Nephrology (118 citations), Health Informatics (19 citations), Oncology (202 citations) and Pulmonary and Respiratory Medicine (231 citations). Frank Pétavy has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Iman El‐Hariry, Guido Rasi, Marc‐Oliver Grimm, Uwe Treiber, Marco R. de Groot, D. J. Richel, Philippe Beuzeboc, Christian Wülfing, Roma Parikh and Jean‐Pascal Machiels. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Statistics in Biopharmaceutical Research, Nature Reviews Drug Discovery, British Journal of Clinical Pharmacology and Nephrology Dialysis Transplantation.
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.