Rasika A. Mathias

61.9k total citations
133 papers, 3.6k citations indexed

About

Rasika A. Mathias is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Rasika A. Mathias has authored 133 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Genetics, 37 papers in Physiology and 26 papers in Molecular Biology. Recurrent topics in Rasika A. Mathias's work include Genetic Associations and Epidemiology (29 papers), Asthma and respiratory diseases (28 papers) and Fatty Acid Research and Health (15 papers). Rasika A. Mathias is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Asthma and respiratory diseases (28 papers) and Fatty Acid Research and Health (15 papers). Rasika A. Mathias collaborates with scholars based in United States, United Kingdom and Brazil. Rasika A. Mathias's co-authors include Kathleen C. Barnes, Floyd H. Chilton, Ingo Ruczinski, Nicholas Rafaels, Susan Sergeant, Terri H. Beaty, Diane M. Becker, Lewis C. Becker, Lisa R. Yanek and Michael C. Seeds and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Rasika A. Mathias

125 papers receiving 3.5k citations

Peers

Rasika A. Mathias

GENET

PHYSI

CCM

Pier Franco Pignatti Italy

Norman Klopp Germany

Jian Shen China

Hideki Nomura Japan

Colin P. Sibley United Kingdom

Jeremy B. M. Jowett Australia

Tomoko Takano Canada

Cristina Gutiérrez Spain

Gernot Desoyé Austria

Daniel M. Levine United States

Pier Franco Pignatti Italy

Rasika A. Mathias

798 ×0.8

GENET

1.1k ×1.3

610 ×0.8

PHYSI

444 ×0.7

822 ×1.9

CCM

Citations per year, relative to Rasika A. Mathias Rasika A. Mathias (= 1×) peers Pier Franco Pignatti

Countries citing papers authored by Rasika A. Mathias

Since Specialization

Citations

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

Fields of papers citing papers by Rasika A. Mathias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rasika A. Mathias. 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 Rasika A. Mathias. The network helps show where Rasika A. Mathias may publish in the future.

Co-authorship network of co-authors of Rasika A. Mathias

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nidadavolu, Lolita S., David W. Sosnowski, Yuqiong Wu, et al.. (2025). Cardiovascular-Derived Circulating Cell-Free DNA Fragments Are Associated With Frailty and Increased Cardiovascular Events in Older Adults. The Journals of Gerontology Series A. 80(7).

Scelza, Brooke A., Rasika A. Mathias, Harold Watson, et al.. (2025). A rapid accurate approach to inferring pedigrees in endogamous populations. Genetics. 230(4).

Sun, Quan, Jiawen Chen, Anna V. Mikhaylova, et al.. (2024). Improving polygenic risk prediction in admixed populations by explicitly modeling ancestral-differential effects via GAUDI. Nature Communications. 15(1). 1016–1016. 17 indexed citations

Schuermans, Art, Tetsushi Nakao, Md Mesbah Uddin, et al.. (2023). Age at Menopause, Leukocyte Telomere Length, and Coronary Artery Disease in Postmenopausal Women. Circulation Research. 133(5). 376–386. 17 indexed citations

Mathias, Rasika A., et al.. (2023). Recent progress in the genetic and epigenetic underpinnings of atopy. Journal of Allergy and Clinical Immunology. 151(1). 60–69. 21 indexed citations

Liu, Fangyu, Thomas R. Austin, Jennifer A. Schrack, et al.. (2023). Late‐life plasma proteins associated with prevalent and incident frailty: A proteomic analysis. Aging Cell. 22(11). e13975–e13975. 15 indexed citations

Armstrong, Nicole D., Marguerite R. Irvin, William E. Haley, et al.. (2022). Telomere shortening and the transition to family caregiving in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. PLoS ONE. 17(6). e0268689–e0268689. 3 indexed citations

Johnson, Randi K., Tonya M. Brunetti, Kevin Quinn, et al.. (2021). Discovering metabolite quantitative trait loci in asthma using an isolated population. Journal of Allergy and Clinical Immunology. 149(5). 1807–1811.e16. 13 indexed citations

Kammers, Kai, Margaret A. Taub, Benjamin A.T. Rodriguez, et al.. (2020). Transcriptional profile of platelets and iPSC-derived megakaryocytes from whole-genome and RNA sequencing. Blood. 137(7). 959–968. 13 indexed citations

10.

Harris, Daniel, Ingo Ruczinski, Lisa R. Yanek, et al.. (2019). Evolution of Hominin Polyunsaturated Fatty Acid Metabolism: From Africa to the New World. Genome Biology and Evolution. 11(5). 1417–1430. 30 indexed citations

11.

Obeidat, Ma’en, Alen Faiz, Xuan Li, et al.. (2019). The pharmacogenomics of inhaled corticosteroids and lung function decline in COPD. European Respiratory Journal. 54(6). 1900521–1900521. 13 indexed citations

12.

Hersh, Craig P., Ian M. Adcock, Juan C. Celedón, et al.. (2018). High-Throughput Sequencing in Respiratory, Critical Care, and Sleep Medicine Research. An Official American Thoracic Society Workshop Report. Annals of the American Thoracic Society. 16(1). 1–16. 7 indexed citations

13.

Gao, Jingjing, Peng Jin, Celeste Eng, et al.. (2018). Optimized distributed systems achieve significant performance improvement on sorted merging of massive VCF files. GigaScience. 7(6). 1 indexed citations

14.

Qayyum, Rehan, Diane M. Becker, Lisa R. Yanek, et al.. (2014). Greater Collagen-Induced Platelet Aggregation Following Cyclooxygenase 1 Inhibition Predicts Incident Acute Coronary Syndromes. Clinical and Translational Science. 8(1). 17–22. 14 indexed citations

15.

Qayyum, Rehan, Diane M. Becker, Lisa R. Yanek, et al.. (2012). Abstract 17828: Genome-wide Association Study Identifies Two Loci Associated with Platelet Distribution Width in Healthy Adults. Circulation. 126. 1 indexed citations

16.

Qayyum, Rehan, Diane M. Becker, Lisa R. Yanek, et al.. (2011). Abstract 17614: Genome-Wide Association Study of Aspirin Responsiveness in African Americans. Circulation. 124(suppl_21). 1 indexed citations

17.

Wegmann, Daniel, Darren Kessner, Krishna R. Veeramah, et al.. (2011). Recombination rates in admixed individuals identified by ancestry-based inference. Nature Genetics. 43(9). 847–853. 79 indexed citations

18.

Radha, Venkatesan, et al.. (2006). Association of Lipoprotein Lipase Hind III and Ser 447 Ter Polymorphisms With Dyslipidemia in Asian Indians. The American Journal of Cardiology. 97(9). 1337–1342. 31 indexed citations

19.

Gao, Pei, Rasika A. Mathias, Beverly Plunkett, et al.. (2005). Genetic variants of the T-cell immunoglobulin mucin 1 but not the T-cell immunoglobulin mucin 3 gene are associated with asthma in an African American population. Journal of Allergy and Clinical Immunology. 115(5). 982–988. 62 indexed citations

20.

Mandal, Diptasri, Alexa J.M. Sorant, Elizabeth Pugh, et al.. (1999). Environmental covariates: Effects on the power of sib‐pair linkage methods. Genetic Epidemiology. 17(S1). S643–8. 9 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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