Anurag Verma

8.8k total citations
65 papers, 1.3k citations indexed

About

Anurag Verma is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Anurag Verma has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Genetics, 34 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Anurag Verma's work include Genetic Associations and Epidemiology (32 papers), Bioinformatics and Genomic Networks (17 papers) and Genomics and Rare Diseases (6 papers). Anurag Verma is often cited by papers focused on Genetic Associations and Epidemiology (32 papers), Bioinformatics and Genomic Networks (17 papers) and Genomics and Rare Diseases (6 papers). Anurag Verma collaborates with scholars based in United States, South Korea and India. Anurag Verma's co-authors include Marylyn D. Ritchie, Gary M. Gaukler, Sarah A. Pendergrass, Shefali S. Verma, Yuki Bradford, Anastasia Lucas, Dokyoon Kim, Sergiy Butenko, Scott Dudek and Austin Buchanan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Anurag Verma

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anurag Verma United States 20 497 431 203 142 123 65 1.3k
Lihua Duan China 25 599 1.2× 97 0.2× 31 0.2× 164 1.2× 42 0.3× 89 1.8k
Qin Yu China 24 1.2k 2.4× 170 0.4× 59 0.3× 284 2.0× 30 0.2× 76 2.2k
Mehdi Totonchi Iran 27 1.4k 2.8× 346 0.8× 60 0.3× 177 1.2× 13 0.1× 138 2.5k
Xiaowei Yan United States 31 1.3k 2.7× 188 0.4× 133 0.7× 386 2.7× 43 0.3× 119 3.5k
Tao Fan United States 19 662 1.3× 409 0.9× 138 0.7× 51 0.4× 16 0.1× 41 1.9k
Andreas Schuppert Germany 21 668 1.3× 79 0.2× 64 0.3× 112 0.8× 54 0.4× 82 1.6k
Allen Eng Juh Yeoh Singapore 28 1.6k 3.1× 336 0.8× 380 1.9× 431 3.0× 156 1.3× 108 3.9k
Eoin McKinney United Kingdom 24 615 1.2× 562 1.3× 121 0.6× 128 0.9× 19 0.2× 40 2.6k
Kenneth Jung United States 19 879 1.8× 89 0.2× 38 0.2× 236 1.7× 23 0.2× 27 2.5k

Countries citing papers authored by Anurag Verma

Since Specialization
Citations

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

Fields of papers citing papers by Anurag Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anurag Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Verma. A scholar is included among the top collaborators of Anurag 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 Anurag Verma. Anurag Verma 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.
Verma, Anurag, Ruchir Kant, & Nayan Ghosh. (2025). Base-Assisted and Silica Gel-Promoted Indole-Substituted Indene Synthesis. The Journal of Organic Chemistry. 90(14). 5036–5046.
2.
Khan, Umair, Prashant Kumar, Sabina Yasmin, et al.. (2025). Preparation and Evaluation of N-Acetyl D-Glucosamine Ethosomal Gel for the Treatment of Hyperpigmentation. Journal of Pharmaceutical Innovation. 20(2). 2 indexed citations
3.
Verma, Anurag, Ruchir Kant, & Nayan Ghosh. (2024). p-TsOH-Mediated Intramolecular C2-Arylation on NH-Indoles: Access of 5,10-Dihydroindeno[1,2-b]indoles. Organic Letters. 26(32). 6814–6818. 3 indexed citations
4.
5.
Verma, Anurag, et al.. (2024). Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network. Bioinformatics. 40(3). 2 indexed citations
6.
Basile, Anna O., Anurag Verma, Marina Serper, et al.. (2024). Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine‐based approach in diverse healthcare systems. Clinical and Translational Science. 18(1). e70105–e70105. 2 indexed citations
7.
MacLean, Matthew T., Anurag Verma, Jeffrey Duda, et al.. (2023). SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. Lecture notes in computer science. 14277. 46–57. 2 indexed citations
8.
Park, Joseph, Matthew T. MacLean, Anastasia Lucas, et al.. (2022). Exome-wide association analysis of CT imaging-derived hepatic fat in a medical biobank. Cell Reports Medicine. 3(12). 100855–100855. 8 indexed citations
9.
Huffman, Jennifer E., Guillaume Butler‐Laporte, Atlas Khan, et al.. (2022). Multi-ancestry fine mapping implicates OAS1 splicing in risk of severe COVID-19. Nature Genetics. 54(2). 125–127. 62 indexed citations
10.
Li, Binglan, Katrin Sangkuhl, Ryan Whaley, et al.. (2022). How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clinical Pharmacology & Therapeutics. 113(5). 1036–1047. 7 indexed citations
11.
Zhang, Xinyuan, Anastasia Lucas, Yogasudha Veturi, et al.. (2022). Large-scale genomic analyses reveal insights into pleiotropy across circulatory system diseases and nervous system disorders. Nature Communications. 13(1). 3428–3428. 8 indexed citations
12.
Choe, Eun Kyung, Manu Shivakumar, Anurag Verma, et al.. (2022). Leveraging deep phenotyping from health check-up cohort with 10,000 Korean individuals for phenome-wide association study of 136 traits. Scientific Reports. 12(1). 1930–1930. 1 indexed citations
13.
Verma, Anurag, Gustavo Garcia, Holly Ramage, et al.. (2021). Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition. Proceedings of the National Academy of Sciences. 118(42). 59 indexed citations
14.
Wang, Louise, Shefali S. Verma, Anh N. Le, et al.. (2021). Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank. Genetics in Medicine. 24(3). 601–609. 11 indexed citations
15.
Li, Binglan, Yogasudha Veturi, Anurag Verma, et al.. (2021). Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults. PLoS Genetics. 17(4). e1009464–e1009464. 11 indexed citations
16.
Sun, Lova, Anh N. Le, Abigail Doucette, et al.. (2020). Rates of COVID-19–Related Outcomes in Cancer Compared With Noncancer Patients. JNCI Cancer Spectrum. 5(1). 27 indexed citations
17.
Verma, Anurag, Yuki Bradford, Shefali S. Verma, et al.. (2017). Multiphenotype association study of patients randomized to initiate antiretroviral regimens in AIDS Clinical Trials Group protocol A5202. Pharmacogenetics and Genomics. 27(3). 101–111. 8 indexed citations
18.
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
19.
Kim, Dokyoon, Hyunjung Shin, Kyung-Ah Sohn, et al.. (2014). Incorporating inter-relationships between different levels of genomic data into cancer clinical outcome prediction. Methods. 67(3). 344–353. 24 indexed citations
20.
Wang, Jason T. L., et al.. (2010). ON COMPARING TWO STRUCTURED RNA MULTIPLE ALIGNMENTS. Journal of Bioinformatics and Computational Biology. 8(6). 967–980. 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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