Boissel Jp
- Statistics, Probability and Uncertainty
- Public Health, Environmental and Occupational Health
- Economics and Econometrics
- General Health Professions
- Cardiology and Cardiovascular Medicine
- Co-authors
- P MeunierPatrice NonyBruno PornelCatherine CornuMichel CucheratAntonio CanoJ Y GilletC. Némoz
- Topics
- Statistical Methods in Clinical Trials (3 papers)Meta-analysis and systematic reviews (2 papers)Ethics in Clinical Research (2 papers)
- Cited by
- Statistics, Probability and UncertaintyHealth InformaticsComplementary and alternative medicine
- Journals
- The LancetFundamental and Clinical PharmacologyPubMed
In The Last Decade
Boissel Jp
6 papers receiving 27 citations
Peers
Comparison fields: 5 of 26
- Statistics, Probability and Uncertainty 10
- Public Health, Environmental and Occupational Health 8
- Economics and Econometrics 8
- General Health Professions 7
- Cardiology and Cardiovascular Medicine 5
Countries citing papers authored by Boissel Jp
This map shows the geographic impact of Boissel Jp'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 Boissel Jp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boissel Jp more than expected).
Fields of papers citing papers by Boissel Jp
This network shows the impact of papers produced by Boissel Jp. 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 Boissel Jp. The network helps show where Boissel Jp may publish in the future.
Co-authorship network of co-authors of Boissel Jp
This figure shows the co-authorship network connecting the top 25 collaborators of Boissel Jp. A scholar is included among the top collaborators of Boissel Jp 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 Boissel Jp. Boissel Jp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | [Note on the epistemology of clinical pharmacology: comparison with the approach of Karl Popper]. | 4 |
| 3 | Education program for general practitioners on breast and cervical cancer screening : a randomized trial | 5 |
| 4 | 5 | |
| 5 | 8 | |
| 6 | [In favor of teaching medical and scientific expression. 3. Information and therapeutic trials. 2. Some useful criteria for judging the validity of a therapeutic trial]. | 1 |
About Boissel Jp
Boissel Jp is a scholar working on Statistics and Probability, Toxicology and Statistics, Probability and Uncertainty, having authored 6 papers that have together received 29 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (3 papers), Meta-analysis and systematic reviews (2 papers) and Ethics in Clinical Research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (10 citations), Health Informatics (1 citation) and Complementary and alternative medicine (3 citations). Boissel Jp has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include P Meunier, Patrice Nony, Bruno Pornel, Catherine Cornu, Michel Cucherat, Antonio Cano, J Y Gillet, C. Némoz, Gudrun Bernhard and Alain Brémond. Their work appears in journals such as The Lancet, Fundamental and Clinical Pharmacology and PubMed.
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.