Antonio Camargo

7.5k total citations · 1 hit paper
119 papers, 4.8k citations indexed

About

Antonio Camargo is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Antonio Camargo has authored 119 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Physiology, 49 papers in Molecular Biology and 22 papers in Epidemiology. Recurrent topics in Antonio Camargo's work include Diet and metabolism studies (36 papers), Nutritional Studies and Diet (21 papers) and Gut microbiota and health (21 papers). Antonio Camargo is often cited by papers focused on Diet and metabolism studies (36 papers), Nutritional Studies and Diet (21 papers) and Gut microbiota and health (21 papers). Antonio Camargo collaborates with scholars based in Spain, United States and Ireland. Antonio Camargo's co-authors include José López‐Miranda, Pablo Pérez‐Martínez, Francisco Pérez‐Jiménez, Javier Delgado‐Lista, Oriol Alberto Rangel-Zúñiga, Juan F. Alcalá‐Díaz, Gracia M. Quintana‐Navarro, Blanca B. Landa, Carmen Haro and Francisco Gómez-Delgado and has published in prestigious journals such as PLoS ONE, The Plant Cell and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Antonio Camargo

116 papers receiving 4.7k citations

Hit Papers

Intestinal Microbiota Is Influenced by Gender and Body Ma... 2016 2026 2019 2022 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Intestinal Microbiota Is Influenced by Gender and Body Mass Index
    2016 508 citations Carmen Haro, Oriol Alberto Rangel-Zúñiga et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Camargo Spain 35 2.1k 1.7k 882 611 561 119 4.8k
Victoria L. Stevens United States 42 2.8k 1.3× 1.4k 0.8× 756 0.9× 498 0.8× 407 0.7× 124 6.5k
E. Angela Murphy United States 48 2.5k 1.2× 2.1k 1.2× 439 0.5× 919 1.5× 500 0.9× 164 7.7k
Jing Li China 40 4.0k 1.9× 1.7k 1.0× 556 0.6× 862 1.4× 412 0.7× 264 7.2k
Marcelo Macedo Rogero Brazil 35 1.5k 0.7× 1.4k 0.8× 520 0.6× 747 1.2× 1.1k 2.0× 206 5.7k
Bina Joe United States 37 2.7k 1.3× 1.5k 0.9× 425 0.5× 405 0.7× 543 1.0× 181 5.6k
Armando R. Tovar Mexico 43 2.3k 1.1× 2.0k 1.2× 483 0.5× 1.1k 1.8× 1.0k 1.8× 227 6.6k
Concepción M. Aguilera Spain 37 1.1k 0.5× 1.4k 0.8× 622 0.7× 843 1.4× 705 1.3× 142 4.7k
Fernando Cardona Spain 33 2.7k 1.3× 2.0k 1.2× 377 0.4× 690 1.1× 708 1.3× 98 5.4k
Harri Rissanen Finland 38 1.2k 0.5× 712 0.4× 827 0.9× 872 1.4× 783 1.4× 119 7.0k
Albert Koulman United Kingdom 41 2.4k 1.1× 829 0.5× 322 0.4× 582 1.0× 566 1.0× 177 5.0k

Countries citing papers authored by Antonio Camargo

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Camargo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Camargo

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Camargo. A scholar is included among the top collaborators of Antonio Camargo 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 Antonio Camargo. Antonio Camargo 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.
Caballero‐Villarraso, Javier, et al.. (2025). Molecular Mechanisms of the Microbiota–Gut–Brain Axis in the Onset and Progression of Stroke. International Journal of Molecular Sciences. 26(20). 10071–10071. 2 indexed citations
2.
Alcalá‐Díaz, Juan F., Francisco M. Gutierrez‐Mariscal, Alejandro López‐Moreno, et al.. (2025). A microbiota pattern associated with cardiovascular events in secondary prevention: the CORDIOPREV study. European Heart Journal. 46(22). 2104–2115. 5 indexed citations
3.
Caballero‐Villarraso, Javier, Juan F. Alcalá‐Díaz, Javier Delgado‐Lista, et al.. (2025). Deep Learning Model Approach to Predict Diabetes Type 2 Based on Clinical, Biochemical, and Gut Microbiota Profiles. Applied Sciences. 15(4). 2228–2228. 1 indexed citations
4.
Alcalá‐Díaz, Juan F., Gracia M. Quintana‐Navarro, Javier López-Moreno, et al.. (2024). Trimethylamine Oxidation into the Proatherogenic Trimethylamine N-Oxide Is Higher in Coronary Heart Disease Men: From the CORDIOPREV Study. The World Journal of Men s Health. 43(1). 249–249. 1 indexed citations
5.
Mora-Ortiz, Marina, et al.. (2024). The gut microbiota-brain axis role in neurodegenerative diseases and implications according to the sex. Open Research Europe. 4. 230–230. 2 indexed citations
6.
Boughanem, Hatim, Antonio P. Arenas-de Larriva, Antonio Camargo, et al.. (2024). Decreased Neutrophils Are Associated With Reduced Risk of Type 2 Diabetes Incidence: Results From the CORDIOPREV Study. The Journal of Clinical Endocrinology & Metabolism. 110(6). 1550–1558. 1 indexed citations
7.
8.
Pérez‐Martínez, Pablo, Cristina Vals‐Delgado, Juan Luis Romero‐Cabrera, et al.. (2021). Owning a Pet Is Associated with Changes in the Composition of Gut Microbiota and Could Influence the Risk of Metabolic Disorders in Humans. Animals. 11(8). 2347–2347. 9 indexed citations
9.
González-Correa, Clara Helena, et al.. (2021). Alternative Foods in Cardio-Healthy Dietary Models that Improve Postprandial Lipemia and Insulinemia in Obese People. Nutrients. 13(7). 2225–2225. 4 indexed citations
10.
Santos-Marcos, Jose Antonio, Alexia Barroso, Oriol Alberto Rangel-Zúñiga, et al.. (2020). Interplay between gonadal hormones and postnatal overfeeding in defining sex-dependent differences in gut microbiota architecture. Aging. 12(20). 19979–20000. 21 indexed citations
11.
Río-Moreno, Mercedes del, Raúl M. Luque, Oriol Alberto Rangel-Zúñiga, et al.. (2020). Dietary Intervention Modulates the Expression of Splicing Machinery in Cardiovascular Patients at High Risk of Type 2 Diabetes Development: From the CORDIOPREV Study. Nutrients. 12(11). 3528–3528. 9 indexed citations
12.
López-Bascón, María Asunción, et al.. (2019). Development of a qualitative/quantitative strategy for comprehensive determination of polar lipids by LC–MS/MS in human plasma. Analytical and Bioanalytical Chemistry. 412(2). 489–498. 13 indexed citations
13.
Quintana‐Navarro, Gracia M., Juan F. Alcalá‐Díaz, Javier López-Moreno, et al.. (2019). Long-term dietary adherence and changes in dietary intake in coronary patients after intervention with a Mediterranean diet or a low-fat diet: the CORDIOPREV randomized trial. European Journal of Nutrition. 59(5). 2099–2110. 52 indexed citations
14.
Camargo, Antonio, Rosa Jiménez-Lucena, Juan F. Alcalá‐Díaz, et al.. (2018). Postprandial endotoxemia may influence the development of type 2 diabetes mellitus: From the CORDIOPREV study. Clinical Nutrition. 38(2). 529–538. 29 indexed citations
15.
López-Moreno, Javier, Sonia García‐Carpintero, Francisco Gómez-Delgado, et al.. (2017). Endotoxemia is modulated by quantity and quality of dietary fat in older adults. Experimental Gerontology. 109. 119–125. 15 indexed citations
16.
Moreno‐Indias, Isabel, Wilfredo Oliva‐Olivera, Daniel Castellano‐Castillo, et al.. (2016). Adipose tissue infiltration in normal-weight subjects and its impact on metabolic function. Translational research. 172. 6–17.e3. 29 indexed citations
17.
Rangel-Zúñiga, Oriol Alberto, Carmen Haro, Carmen Tormos, et al.. (2016). Frying oils with high natural or added antioxidants content, which protect against postprandial oxidative stress, also protect against DNA oxidation damage. European Journal of Nutrition. 56(4). 1597–1607. 20 indexed citations
18.
Clemente‐Postigo, Mercedes, Araceli Muñoz‐Garach, Marta Serrano, et al.. (2015). Serum 25-Hydroxyvitamin D and Adipose Tissue Vitamin D Receptor Gene Expression: Relationship With Obesity and Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 100(4). E591–E595. 76 indexed citations
19.
Rangel-Zúñiga, Oriol Alberto, Antonio Camargo, Carmen Marı́n, et al.. (2015). Proteome from patients with metabolic syndrome is regulated by quantity and quality of dietary lipids. BMC Genomics. 16(1). 509–509. 17 indexed citations
20.
Perez‐Caballero, Ana I., Juan F. Alcalá‐Díaz, Pablo Pérez‐Martínez, et al.. (2012). Lipid metabolism after an oral fat test meal is affected by age-associated features of metabolic syndrome, but not by age. Atherosclerosis. 226(1). 258–262. 12 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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