David Primo
Impact in
- Physiology top 5%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Nutrition and Health in Aging
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- Regulation of Appetite and Obesity
Papers in
- Physiology 42
- Nutrition and Health in Aging 20
- Body Composition Measurement Techniques 12
- Adipose Tissue and Metabolism 10
- Diet and metabolism studies 10
- Epidemiology 38
- Adipokines, Inflammation, and Metabolic Diseases 35
- Co-authors
- Daniel Antonio de Luis (144 shared papers)Olatz Izaola (124 shared papers)R. Aller (76 shared papers)Juan José López Gómez (51 shared papers)R. Conde (19 shared papers)M. González Sagrado (18 shared papers)Beatriz de la Fuente (16 shared papers)David Pacheco (18 shared papers)
In The Last Decade
David Primo
140 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Physiology 446
- Endocrine and Autonomic Systems 116
- Endocrinology, Diabetes and Metabolism 188
- Epidemiology 245
- Genetics 158
Countries citing papers authored by David Primo
This map shows the geographic impact of David Primo'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 David Primo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Primo more than expected).
Fields of papers citing papers by David Primo
This network shows the impact of papers produced by David Primo. 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 David Primo. The network helps show where David Primo may publish in the future.
Co-authors
The 25 scholars most cited alongside David Primo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 38 | |
| 2 | 2020 | 38 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 25 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 22 | |
| 7 | 2011 | 21 | |
| 8 | 2016 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2012 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2023 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2012 | 16 | |
| 18 | 2018 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2018 | 15 |
About David Primo
David Primo is a scholar working on Physiology, Epidemiology, Surgery, Endocrine and Autonomic Systems and Pharmacology, having authored 152 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (35 papers), Nutrition and Health in Aging (20 papers), Body Composition Measurement Techniques (12 papers), Regulation of Appetite and Obesity (11 papers), Bariatric Surgery and Outcomes (10 papers), Adipose Tissue and Metabolism (10 papers), Diet and metabolism studies (10 papers) and Cannabis and Cannabinoid Research (9 papers). The work is most often cited by research in Physiology (446 citations), Endocrine and Autonomic Systems (116 citations), Endocrinology, Diabetes and Metabolism (188 citations), Epidemiology (245 citations) and Genetics (158 citations). David Primo has collaborated with scholars based in Spain, Argentina and Brazil. Frequent co-authors include Daniel Antonio de Luis, Olatz Izaola, R. Aller, Juan José López Gómez, R. Conde, M. González Sagrado, Beatriz de la Fuente, David Pacheco, Emilia Gómez Hoyos and Enrique Romero. Their work appears in journals such as Nutrients, Annals of Nutrition and Metabolism, Nutrition, Lifestyle Genomics and Clinical 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.