David Primo

1.5k total citations
148 papers, 1.1k citations indexed

About

David Primo is a scholar working on Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, David Primo has authored 148 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Physiology, 50 papers in Epidemiology and 32 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in David Primo's work include Adipokines, Inflammation, and Metabolic Diseases (40 papers), Diet and metabolism studies (37 papers) and Adipose Tissue and Metabolism (36 papers). David Primo is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (40 papers), Diet and metabolism studies (37 papers) and Adipose Tissue and Metabolism (36 papers). David Primo collaborates with scholars based in Spain, Germany and Portugal. David Primo's co-authors include Daniel Antonio de Luis, Olatz Izaola, R. Aller, Juan José López Gómez, R. Conde, M. González Sagrado, Beatriz de la Fuente, Emilia Gómez Hoyos, David Pacheco and Enrique Romero and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Obesity and Nutrients.

In The Last Decade

David Primo

138 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Primo Spain 16 565 288 258 190 173 148 1.1k
Stefan Kriwanek Austria 18 431 0.8× 332 1.2× 186 0.7× 192 1.0× 331 1.9× 20 1.5k
Kerstin Wåhlén Sweden 13 431 0.8× 404 1.4× 123 0.5× 126 0.7× 99 0.6× 14 937
Hyeong Kyu Park South Korea 15 584 1.0× 483 1.7× 222 0.9× 79 0.4× 112 0.6× 50 1.5k
Jenny D. Chiu United States 14 442 0.8× 278 1.0× 232 0.9× 46 0.2× 176 1.0× 17 908
Monica D’Adamo Italy 20 508 0.9× 310 1.1× 173 0.7× 89 0.5× 244 1.4× 40 1.2k
Efisio Cossu Italy 19 175 0.3× 321 1.1× 441 1.7× 277 1.5× 250 1.4× 53 1.1k
Takaya Nakane Japan 14 250 0.4× 222 0.8× 163 0.6× 95 0.5× 93 0.5× 46 831
Maren Carstensen‐Kirberg Germany 17 402 0.7× 277 1.0× 208 0.8× 91 0.5× 75 0.4× 22 944
Camilla Andreasen Denmark 14 204 0.4× 144 0.5× 193 0.7× 460 2.4× 150 0.9× 25 953
Kevin Baynes United Kingdom 11 353 0.6× 138 0.5× 358 1.4× 59 0.3× 196 1.1× 23 935

Countries citing papers authored by David Primo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Primo

This figure shows the co-authorship network connecting the top 25 collaborators of David Primo. A scholar is included among the top collaborators of David Primo 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 David Primo. David Primo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luis, Daniel Antonio de, et al.. (2025). Impact of Hydroxy‐Methyl‐Butyrate Supplementation on Malnourished Patients Assessed Using AI‐Enhanced Ultrasound Imaging. Journal of Cachexia Sarcopenia and Muscle. 16(1). e13700–e13700. 1 indexed citations
2.
Gómez, Juan José López, et al.. (2025). Relationship between body composition parameters and quality of life in patients with obesity and osteoarthritis. Nutrition. 135. 112765–112765.
3.
Gómez, Juan José López, et al.. (2025). Artificial Intelligence-Assisted Muscular Ultrasonography for Assessing Inflammation and Muscle Mass in Patients at Risk of Malnutrition. Nutrients. 17(10). 1620–1620. 1 indexed citations
4.
5.
Luis, Daniel Antonio de, David Primo, Olatz Izaola, & Juan José López Gómez. (2024). Relationship between adiponectin and muscle mass in patients with metabolic syndrome and obesity. Journal of Diabetes and its Complications. 38(4). 108706–108706. 10 indexed citations
6.
Gómez, Juan José López, David Primo, Emilia Gómez Hoyos, et al.. (2024). Effect of a diabetes-specific formula in non-diabetic inpatients with stroke: a randomized controlled trial. Nutrition and Diabetes. 14(1). 34–34.
7.
Gómez, Juan José López, et al.. (2024). Use of Muscle Ultrasonography in Morphofunctional Assessment of Amyotrophic Lateral Sclerosis (ALS). Nutrients. 16(7). 1021–1021. 4 indexed citations
8.
9.
Lorenzo, Patricia M. Di, Marcos C. Carreira, Diego Gómez-Arbeláez, et al.. (2024). A very-low-calorie ketogenic diet normalises obesity-related enhanced levels of erythropoietin compared with a low-calorie diet or bariatric surgery. Journal of Endocrinological Investigation. 47(11). 2701–2713. 4 indexed citations
10.
Gómez, Juan José López, et al.. (2023). Nutritional Ultrasonography, a Method to Evaluate Muscle Mass and Quality in Morphofunctional Assessment of Disease Related Malnutrition. Nutrients. 15(18). 3923–3923. 14 indexed citations
11.
Luis, Daniel Antonio de, David Primo, Olatz Izaola, Emilia Gómez Hoyos, & Juan José López Gómez. (2023). Relación de los niveles de resistina circulantes con la masa muscular determinada por impedanciometría bioeléctrica en mujeres con obesidad. Endocrinología Diabetes y Nutrición. 70(7). 468–475.
12.
Gómez, Juan José López, et al.. (2023). Effect on Body Composition of a Meal-Replacement Progression Diet in Patients 1 Month after Bariatric Surgery. Nutrients. 16(1). 106–106. 4 indexed citations
13.
Luis, Daniel Antonio de, David Primo, Olatz Izaola, & R. Aller. (2022). Papel del polimorfismo del gen de la resistina (rs7139228) en la respuesta metabólica tras una dieta mediterránea hipocalórica. Endocrinología Diabetes y Nutrición. 70(2). 88–97.
14.
15.
Gómez, Juan José López, et al.. (2022). Muscular Ultrasonography in Morphofunctional Assessment of Patients with Oncological Pathology at Risk of Malnutrition. Nutrients. 14(8). 1573–1573. 13 indexed citations
16.
Gómez, Juan José López, et al.. (2022). Influence of Obesity on Bone Turnover Markers and Fracture Risk in Postmenopausal Women. Nutrients. 14(8). 1617–1617. 19 indexed citations
17.
Luis, Daniel Antonio de, David Primo, Olatz Izaola, & R. Aller. (2020). Effect of two different dietary fatty acid profiles and variant rs266729 in ADIPOQ on weight loss and adiponectin concentrations. Endocrinología Diabetes y Nutrición (English ed ). 67(6). 374–382. 1 indexed citations
18.
Gómez, Juan José López, et al.. (2020). Effect of Two Meal Replacement strategies on Cardiovascular Risk Parameters in Advanced Age Patients with Obesity and Osteoarthritis. Nutrients. 12(4). 976–976. 8 indexed citations
19.
Gómez, Juan José López, David Primo, Emilia Gómez Hoyos, et al.. (2019). Effect of weight loss on bone metabolism in postmenopausal obese women with osteoarthritis. Obesity Research & Clinical Practice. 13(4). 378–384. 7 indexed citations
20.
Luis, Daniel Antonio de, Olatz Izaola, David Primo, et al.. (2018). The association of SNP276G>T at adiponectin gene with insulin resistance and circulating adiponectin in response to two different hypocaloric diets. Diabetes Research and Clinical Practice. 137. 93–99. 10 indexed citations

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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