Shefali Setia-Verma

5.5k total citations
10 papers, 191 citations indexed

About

Shefali Setia-Verma is a scholar working on Genetics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Shefali Setia-Verma has authored 10 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 2 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Shefali Setia-Verma's work include Genetic Associations and Epidemiology (7 papers), HIV Research and Treatment (2 papers) and HIV/AIDS drug development and treatment (2 papers). Shefali Setia-Verma is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), HIV Research and Treatment (2 papers) and HIV/AIDS drug development and treatment (2 papers). Shefali Setia-Verma collaborates with scholars based in United States, South Africa and Taiwan. Shefali Setia-Verma's co-authors include Marylyn D. Ritchie, Sarah A. Pendergrass, Anurag Verma, Joshua C. Denny, David W. Haas, Beth L. Cobb, Aleksey Porollo, Bahram Namjou, Todd Lingren and Leah C. Kottyan and has published in prestigious journals such as Frontiers in Genetics, Autism Research and Genetic Epidemiology.

In The Last Decade

Shefali Setia-Verma

10 papers receiving 188 citations

Peers

Shefali Setia-Verma
Jill Hardin United States
Chun Kyu Lim South Korea
Icíar Sánchez‐Albisua Germany
Pak H. Chung United States
Verónica Seidel Spain
Xiaobin Wang United States
Johnathan Ballard United States
Sami Al Said Qatar
Kristjan Pomm Estonia
Jill Hardin United States
Shefali Setia-Verma
Citations per year, relative to Shefali Setia-Verma Shefali Setia-Verma (= 1×) peers Jill Hardin

Countries citing papers authored by Shefali Setia-Verma

Since Specialization
Citations

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

Fields of papers citing papers by Shefali Setia-Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shefali Setia-Verma. 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 Shefali Setia-Verma. The network helps show where Shefali Setia-Verma may publish in the future.

Co-authorship network of co-authors of Shefali Setia-Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Shefali Setia-Verma. A scholar is included among the top collaborators of Shefali Setia-Verma 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 Shefali Setia-Verma. Shefali Setia-Verma 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.
Noll, Jennie G., et al.. (2024). Longitudinal method comparison: modeling polygenic risk for post-traumatic stress disorder over time in individuals of African and European ancestry. Frontiers in Genetics. 15. 1203577–1203577. 1 indexed citations
2.
Haas, David W., Yuki Bradford, Anurag Verma, et al.. (2018). Brain neurotransmitter transporter/receptor genomics and efavirenz central nervous system adverse events. Pharmacogenetics and Genomics. 28(7). 179–187. 5 indexed citations
3.
Li, Binglan, Yogasudha Veturi, Yuki Bradford, et al.. (2018). Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PubMed. 24. 296–307. 7 indexed citations
4.
Volk, Heather E., Santhosh Girirajan, Sarah A. Pendergrass, et al.. (2017). The joint effect of air pollution exposure and copy number variation on risk for autism. Autism Research. 10(9). 1470–1480. 37 indexed citations
5.
Shan, Ying, Gerard Tromp, Helena Kuivaniemi, et al.. (2017). Genetic risk models: Influence of model size on risk estimates and precision. Genetic Epidemiology. 41(4). 282–296. 3 indexed citations
6.
Verma, Anurag, Shefali Setia-Verma, Sarah A. Pendergrass, et al.. (2016). eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. BMC Medical Genomics. 9(S1). 32–32. 20 indexed citations
7.
8.
Crosslin, David R., Gerard Tromp, Amber Burt, et al.. (2014). Controlling for population structure and genotyping platform bias in the eMERGE multi-institutional biobank linked to electronic health records. Frontiers in Genetics. 5. 352–352. 10 indexed citations
9.
Moore, Carrie, Anurag Verma, Sarah A. Pendergrass, et al.. (2014). Phenome-wide Association Study Relating Pretreatment Laboratory Parameters With Human Genetic Variants in AIDS Clinical Trials Group Protocols. Open Forum Infectious Diseases. 2(1). ofu113–ofu113. 33 indexed citations
10.
Namjou, Bahram, Keith Marsolo, Joshua C. Denny, et al.. (2014). Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis. Frontiers in Genetics. 5. 401–401. 65 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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