Jason Torres

5.9k total citations
18 papers, 347 citations indexed

About

Jason Torres is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jason Torres has authored 18 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jason Torres's work include Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Bioinformatics and Genomic Networks (3 papers). Jason Torres is often cited by papers focused on Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Bioinformatics and Genomic Networks (3 papers). Jason Torres collaborates with scholars based in United Kingdom, United States and Mexico. Jason Torres's co-authors include Mark I. McCarthy, Anubha Mahajan, Matthias Thurner, Anna L. Gloyn, Martijn van de Bunt, Vibe Nylander, N J Cox, Anna Di Rienzo, Joseph Maranville and Kyle J. Gaulton and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemistry and The American Journal of Human Genetics.

In The Last Decade

Jason Torres

16 papers receiving 345 citations

Peers

Jason Torres

GENET

SURGE

EDM

Kaaren Haldeman United States

Adán Valladares Mexico

Alessandra Scalmati Italy

Muhima Mohamed United States

Shiyuan Lu China

Eleonidas Moura Lima Brazil

Sani Malami Nigeria

Tingting Qiao China

Sandra Herránz Spain

Kathryn Singh United States

Kaaren Haldeman United States

Jason Torres

101 ×0.6

129 ×1.0

GENET

53 ×0.7

SURGE

34 ×1.1

EDM

34 ×1.2

Citations per year, relative to Jason Torres Jason Torres (= 1×) peers Kaaren Haldeman

Countries citing papers authored by Jason Torres

Since Specialization

Citations

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

Fields of papers citing papers by Jason Torres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Torres

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

All Works

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18 of 18 papers shown

Donovan, Killian, Jason Torres, Doreen Zhu, William G. Herrington, & Natalie Staplin. (2025). An application of the MR-Horse method to reduce selection bias in genome-wide association studies of disease progression. European Journal of Human Genetics. 33(12). 1677–1683.

Berúmen, Jaime, Jason Torres, Jesús Alegre-Díaz, et al.. (2025). Polygenic prediction of coronary heart disease among 130 000 Mexican adults. European Journal of Preventive Cardiology. 33(3). 415–423.

Trichia, Eirini, Jesús Alegre-Díaz, Raúl Ramírez-Reyes, et al.. (2024). Alcohol and mortality in Mexico: prospective study of 150 000 adults. The Lancet Public Health. 9(11). e907–e915. 3 indexed citations

Gnatiuc, Louisa, Roberto Tapia‐Conyer, Rachel Wade, et al.. (2021). Abdominal and gluteo-femoral markers of adiposity and risk of vascular-metabolic mortality in a prospective study of 150 000 Mexican adults. European Journal of Preventive Cardiology. 29(5). 730–738. 10 indexed citations

Alegre-Díaz, Jesús, William G. Herrington, Natalie Staplin, et al.. (2021). Association of Kidney Function With NMR-Quantified Lipids, Lipoproteins, and Metabolic Measures in Mexican Adults. The Journal of Clinical Endocrinology & Metabolism. 106(10). 2828–2839. 9 indexed citations

Thomson, Blake, Roberto Tapia‐Conyer, Ben Lacey, et al.. (2021). Low-intensity daily smoking and cause-specific mortality in Mexico: prospective study of 150 000 adults. International Journal of Epidemiology. 50(3). 955–964. 9 indexed citations

Stone, Jason D., et al.. (2021). Rapid Development of a Decision Support System to Alleviate Food Insecurity at the Los Angeles Regional Food Bank amid the COVID‐19 Pandemic. Production and Operations Management. 30(10). 3391–3407. 50 indexed citations

Ndungu, Anne, A. J. Payne, Jason Torres, Martijn van de Bunt, & Mark I. McCarthy. (2020). A Multi-tissue Transcriptome Analysis of Human Metabolites Guides Interpretability of Associations Based on Multi-SNP Models for Gene Expression. The American Journal of Human Genetics. 106(2). 188–201. 15 indexed citations

Torres, Jason, Moustafa Abdalla, A. J. Payne, et al.. (2020). A Multi-omic Integrative Scheme Characterizes Tissues of Action at Loci Associated with Type 2 Diabetes. The American Journal of Human Genetics. 107(6). 1011–1028. 21 indexed citations

10.

Wesolowska‐Andersen, Agata, Grace Z. Yu, Vibe Nylander, et al.. (2020). Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals. eLife. 9. 21 indexed citations

11.

Fernández‐Tajes, Juan, Kyle J. Gaulton, Martijn van de Bunt, et al.. (2019). Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data. Genome Medicine. 11(1). 19–19. 25 indexed citations

12.

Thurner, Matthias, Martijn van de Bunt, Jason Torres, et al.. (2018). Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci. eLife. 7. 63 indexed citations

13.

Torres, Jason, Eric R. Gamazon, Esteban J. Parra, et al.. (2014). Cross-Tissue and Tissue-Specific eQTLs: Partitioning the Heritability of a Complex Trait. The American Journal of Human Genetics. 95(5). 521–534. 46 indexed citations

14.

Torres, Jason, et al.. (2013). Genome wide association studies for diabetes: perspective on results and challenges. Pediatric Diabetes. 14(2). 90–96. 24 indexed citations

15.

Maranville, Joseph, et al.. (2011). Inter-ethnic differences in lymphocyte sensitivity to glucocorticoids reflect variation in transcriptional response. The Pharmacogenomics Journal. 13(2). 121–129. 27 indexed citations

16.

Cureton, C.G., et al.. (2011). Evaluation of Flow Solver Accuracy using Five Simple Unsteady Validation Cases. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 6 indexed citations

17.

Torres, Jason, et al.. (2010). Mechanistic Studies of the Yeast Polyamine Oxidase Fms1: Kinetic Mechanism, Substrate Specificity, and pH Dependence. Biochemistry. 49(49). 10440–10448. 16 indexed citations

18.

Torres, Jason, et al.. (2007). Viscous GBU38 Store Separation from Parent F15E Aircraft During Transonic Flight With Flight Test Comparison. 45th AIAA Aerospace Sciences Meeting and Exhibit. 2 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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