Maritza Pérez-Mayorga

485 total citations
10 papers, 80 citations indexed

About

Maritza Pérez-Mayorga is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maritza Pérez-Mayorga has authored 10 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maritza Pérez-Mayorga's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Obesity, Physical Activity, Diet (2 papers). Maritza Pérez-Mayorga is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Obesity, Physical Activity, Diet (2 papers). Maritza Pérez-Mayorga collaborates with scholars based in Colombia, Canada and Bolivia. Maritza Pérez-Mayorga's co-authors include Martha Catalina Morales-Álvarez, Carlos O. Mendivil, Freddy J.K. Toloza, Daniel D. Cohen, Daniel Martínez-Bello, Johanna Otero, Patricio López‐Jaramillo, José López-López, Sumathy Rangarajan and Salim Yusuf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine & Science in Sports & Exercise and American Journal of Hypertension.

In The Last Decade

Maritza Pérez-Mayorga

9 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maritza Pérez-Mayorga Colombia 5 40 26 16 12 12 10 80
Emma Dorph Denmark 3 32 0.8× 24 0.9× 14 0.9× 14 1.2× 11 0.9× 3 67
Olga Lunegova Kyrgyzstan 4 30 0.8× 23 0.9× 18 1.1× 22 1.8× 4 0.3× 23 93
Alina Kerimkulova Kyrgyzstan 5 32 0.8× 24 0.9× 17 1.1× 17 1.4× 3 0.3× 17 90
Yvonne Böttcher Germany 6 37 0.9× 30 1.2× 24 1.5× 9 0.8× 3 0.3× 6 107
Wilson How Singapore 2 28 0.7× 9 0.3× 18 1.1× 7 0.6× 14 1.2× 2 71
Anthony Martin United States 5 19 0.5× 37 1.4× 18 1.1× 2 0.2× 11 0.9× 7 79
Amirabbas Monazzami Iran 8 17 0.4× 15 0.6× 3 0.2× 15 1.3× 17 1.4× 17 95
Raimo Joro Finland 4 22 0.6× 22 0.8× 6 0.4× 4 0.3× 22 1.8× 5 54
Carmen Marín-Hinojosa Spain 3 33 0.8× 18 0.7× 14 0.9× 6 0.5× 5 69
Milica Stoiljković Serbia 4 34 0.8× 8 0.3× 40 2.5× 3 0.3× 2 0.2× 9 92

Countries citing papers authored by Maritza Pérez-Mayorga

Since Specialization
Citations

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

Fields of papers citing papers by Maritza Pérez-Mayorga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maritza Pérez-Mayorga. 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 Maritza Pérez-Mayorga. The network helps show where Maritza Pérez-Mayorga may publish in the future.

Co-authorship network of co-authors of Maritza Pérez-Mayorga

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

All Works

10 of 10 papers shown
1.
Mendivil, Carlos O., et al.. (2024). 8293 The Genetic Landscape of Severe Hypertriglyceridemia in a Multiracial Latino Population. Journal of the Endocrine Society. 8(Supplement_1). 1 indexed citations
2.
Gómez-Aldana, Andrés, et al.. (2024). Genetic variants in triglyceride metabolism genes among individuals with hypertriglyceridemia in Colombia. Journal of clinical lipidology. 18(6). e1074–e1085.
3.
O’Donovan, Gary, Daniel Martínez-Bello, José López-López, et al.. (2024). Physical Activity and Obesity Risk in Adults in Colombia: The Prospective Urban Rural Epidemiology (PURE) Study. Medicine & Science in Sports & Exercise. 56(7). 1291–1296. 1 indexed citations
4.
López-López, José, Paola Lanza, Daniel Martínez-Bello, et al.. (2023). Waist circumference cut-off points to identify major cardiovascular events and incident diabetes in Latin America: findings from the prospective Urban rural epidemiology study Colombia. Frontiers in Cardiovascular Medicine. 10. 1204885–1204885. 4 indexed citations
5.
López-López, José, Daniel D. Cohen, Daniel Martínez-Bello, et al.. (2022). Ethnic Differences in the Prevalence of Hypertension in Colombia: Association With Education Level. American Journal of Hypertension. 35(7). 610–618. 11 indexed citations
6.
Pérez-Mayorga, Maritza, José López-López, Maria G. Castillo, et al.. (2022). Insulin Resistance Markers to Detect Nonalcoholic Fatty Liver Disease in a Male Hispanic Population. Canadian Journal of Gastroenterology and Hepatology. 2022. 1–7. 4 indexed citations
7.
8.
Toloza, Freddy J.K., et al.. (2018). Folistatina, resistencia a la insulina y composición corporal en adultos colombianos. SHILAP Revista de lepidopterología. 5(1). 7–14. 1 indexed citations
9.
10.
Morales-Álvarez, Martha Catalina, et al.. (2017). The Phospholipid Linoleoylglycerophosphocholine as a Biomarker of Directly Measured Insulin Resistance. Diabetes & Metabolism Journal. 41(6). 466–466. 14 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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2026