Concha Cerdá

806 citations
12 papers · 531 · h-index 11

Impact in

  • Biochemistry top 10%
    • Antioxidant Activity and Oxidative Stress
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism

Papers in

Concha Cerdá

12 papers receiving 521 citations

Peers

Concha Cerdá
Comparison fields: 5 of 90
  • Biochemistry 59
  • Physiology 135
  • Nutrition and Dietetics 75
  • Geriatrics and Gerontology 19
  • Public Health, Environmental and Occupational Health 115
Replace Juan José Moreno with:
Juan José Moreno Spain
Mauro Finicelli Italy
Clara Ortega‐Camarillo Mexico
Qiong Zhou China
Chung‐Jung Chiu United States
Tahereh Setayesh Austria
Valentina Spigoni Italy
Claudia Anzivino Italy
Paola Ciciola Italy
Shih‐Chien Huang Taiwan
Concha Cerdá relative to Juan José Moreno Spain Juan José Moreno's profile →
Citations per field
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Juan José Moreno · 1×
Citations per year

Countries citing papers authored by Concha Cerdá

Since Specialization
Citations

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

Fields of papers citing papers by Concha Cerdá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012155
2 201374
3 201757
4 201556
5 201454
6 201035
7 200831
8 201124
9 201620
10 200913
11 200811
12 20161

About Concha Cerdá

Concha Cerdá is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 12 papers that have together received 531 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Diet, Metabolism, and Disease (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Biochemistry (59 citations), Physiology (135 citations), Nutrition and Dietetics (75 citations), Geriatrics and Gerontology (19 citations) and Public Health, Environmental and Occupational Health (115 citations). Concha Cerdá has collaborated with scholars based in Spain. Frequent co-authors include Guillermo T. Sáez, Antonio Iradi, Carmen Tormos, Felipe Javier Chaves, Cristóbal Zaragozá, Carlos Sànchez‐Martìn, Jordi Salas‐Salvadó, Rosario Casillas, Ramón Estruch and Dolores Corella. Their work appears in journals such as Advances in experimental medicine and biology, Clinical Nutrition, Cancer Letters, Free Radical Research and European Journal of Nutrition.

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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