Rafael Carmena

8.8k citations
154 papers · 4.6k · h-index 32

Impact in

Papers in

Rafael Carmena

142 papers receiving 4.5k citations

Peers

Rafael Carmena
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Surgery 2.1k
  • Cardiology and Cardiovascular Medicine 911
  • Cancer Research 489
  • Biochemistry 189
Replace John H. Contois with:
John H. Contois United States
Theodosios D. Filippatos Greece
Juan Pedro‐Botet Spain
Alberto Zambon Italy
Jane Armitage United Kingdom
Agostino Consoli Italy
Gilles R. Dagenais Canada
Tamio Teramoto Japan
D.P. Mikhailidis United Kingdom
Robin P. F. Dullaart Netherlands
Rafael Carmena relative to John H. Contois United States John H. Contois's profile →
Citations per field
00.5×1.5×1.9×
John H. Contois · 1×
Citations per year

Countries citing papers authored by Rafael Carmena

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Carmena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rafael Carmena, 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 Carmena Line = papers co-authored together Rafael Carmena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003409
2 2004370
3 2006354
4 2006277
5 2013245
6 2001191
7 2006161
8 2012150
9 2015111
10 1993102
11 199985
12 200880
13 201376
14 200572
15 200171
16 201066
17 200259
18 200849
19 201348
20 201847

About Rafael Carmena

Rafael Carmena is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 154 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (63 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (49 papers), Cancer, Lipids, and Metabolism (19 papers), Lipid metabolism and disorders (19 papers), Cholesterol and Lipid Metabolism (13 papers), Metabolism, Diabetes, and Cancer (10 papers), Diabetes Treatment and Management (9 papers) and Adipokines, Inflammation, and Metabolic Diseases (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Surgery (2.1k citations), Cardiology and Cardiovascular Medicine (911 citations), Cancer Research (489 citations) and Biochemistry (189 citations). Rafael Carmena has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Juan F. Ascaso, José T. Real, Jean‐Charles Fruchart, Patrick Duriez, Antonia Priego, D. J. Betteridge, Rosario I. Lorente, Scott M. Grundy, Felipe Javier Chaves and Philip J. Barter. Their work appears in journals such as Atherosclerosis, Metabolism, Diabetes Care, European Journal of Clinical Investigation and Schizophrenia Research.

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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