Rafael Dal‐Ré

153 papers receiving 1.9k citations

Peers

Rafael Dal‐Ré
Comparison fields: 5 of 144
  • Health Informatics 66
  • Statistics, Probability and Uncertainty 300
  • Urology 214
  • Public Health, Environmental and Occupational Health 506
  • Pharmacology 144
Replace Iain Chalmers with:
Iain Chalmers United Kingdom
Catherine D. DeAngelis United States
Phil Fontanarosa United States
Kirsty Loudon United Kingdom
Allen F. Shaughnessy United States
Jeppe Bennekou Schroll Denmark
Carole Lunny Canada
Xavier Kurz Netherlands
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Citations per year

Countries citing papers authored by Rafael Dal‐Ré

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Dal‐Ré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Dal‐Ré. 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 Rafael Dal‐Ré. The network helps show where Rafael Dal‐Ré may publish in the future.

Co-authors

The 25 scholars most cited alongside Rafael Dal‐Ré, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rafael Dal‐Ré Line = papers co-authored together Rafael Dal‐Ré links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997170
2 2018146
3 201692
4 201391
5 201479
6 199864
7 199952
8 201846
9 202044
10 201642
11 201741
12 202239
13 200135
14 201530
15 200729
16 201928
17 201527
18 199727
19 201826
20 201425

About Rafael Dal‐Ré

Rafael Dal‐Ré is a scholar working on Public Health, Environmental and Occupational Health, Economics and Econometrics, Statistics, Probability and Uncertainty, Physiology and General Health Professions, having authored 162 papers that have together received 2.0k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (56 papers), Ethics in Clinical Research (48 papers), Meta-analysis and systematic reviews (35 papers), Biomedical Ethics and Regulation (29 papers), Pharmaceutical industry and healthcare (17 papers), SARS-CoV-2 and COVID-19 Research (17 papers), Health and Medical Research Impacts (11 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Health Informatics (66 citations), Statistics, Probability and Uncertainty (300 citations), Urology (214 citations), Public Health, Environmental and Occupational Health (506 citations) and Pharmacology (144 citations). Rafael Dal‐Ré has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include John P. A. Ioannidis, Manuel Garcı́a-Losa, Carmen Ayuso, Perrine Janiaud, Xavier Badía, Arthur L. Caplan, Ana Marušić, José M. Millán, Søren Holm and Joseph S. Ross. Their work appears in journals such as European Journal of Clinical Pharmacology, Journal of Clinical Epidemiology, BMJ, European Journal of Clinical Investigation and The Pharmacogenomics Journal.

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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