Ruchir Shah

7.1k total citations · 2 hit papers
73 papers, 4.1k citations indexed

About

Ruchir Shah is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Ruchir Shah has authored 73 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 16 papers in Cancer Research and 8 papers in Computational Theory and Mathematics. Recurrent topics in Ruchir Shah's work include Epigenetics and DNA Methylation (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Computational Drug Discovery Methods (8 papers). Ruchir Shah is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Computational Drug Discovery Methods (8 papers). Ruchir Shah collaborates with scholars based in United States, India and United Kingdom. Ruchir Shah's co-authors include Deepak Mav, Sara A. Grimm, Shawn Harris, Gregory V. Kryukov, Michael A. Resnick, Steven A. Roberts, Leszek J. Klimczak, Dmitry A. Gordenin, Joel S. Parker and Karen Adelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Ruchir Shah

68 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An APOBEC cytidine deaminase mutagenesis pattern is widespread in human cancers

2013 832 citations Sara A. Grimm, David C. Fargo et al. profile →
RNA polymerase is poised for activation across the genome

2007 596 citations Ruchir Shah et al. profile →

Peers

Ruchir Shah

ONCOL

IMMUN

PRM

Dianke Yu China

Federica Gemignani Italy

James C. Willey United States

Giuseppe Matullo Italy

Baitang Ning United States

Mukesh Verma United States

Irma Virant‐Klun Slovenia

Mong‐Hsun Tsai Taiwan

Zhong Chen China

Hongliang Liu China

Dianke Yu China

Ruchir Shah

2.5k ×1.0

1.6k ×1.8

759 ×1.2

ONCOL

391 ×0.9

IMMUN

498 ×1.2

PRM

Citations per year, relative to Ruchir Shah Ruchir Shah (= 1×) peers Dianke Yu

Countries citing papers authored by Ruchir Shah

Since Specialization

Citations

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

Fields of papers citing papers by Ruchir Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruchir Shah

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

All Works

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20 of 20 papers shown

Gombar, Vijay K., Alexander Sedykh, Adrian J. Green, et al.. (2025). OrbiTox: a visualization platform for NAMs and read-across exploration of multi-domain data. Frontiers in Pharmacology. 16. 1710864–1710864.

Tandon, Arpit, Brian E. Howard, Adrian J. Green, et al.. (2025). Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening. Aquatic Toxicology. 285. 107415–107415. 1 indexed citations

House, John S., Farida S. Akhtari, Charles Schmitt, et al.. (2024). Interactive data sharing for multiple questionnaire-based exposome-wide association studies and exposome correlations in the Personalized Environment and Genes Study. PubMed. 4(1). osae003–osae003. 1 indexed citations

Zhou, Yi‐Hui, Fred A. Wright, Alexander Sedykh, et al.. (2024). Hazard and risk characterization of 56 structurally diverse PFAS using a targeted battery of broad coverage assays using six human cell types. Toxicology. 503. 153763–153763. 8 indexed citations

Zwarycz, Bailey, Dhiral Phadke, Deepak Mav, et al.. (2024). Characterization and optimization of variability in a human colonic epithelium culture model. ALTEX. 41(3). 425–438. 1 indexed citations

Zhou, Yi‐Hui, Fred A. Wright, Vijay K. Gombar, et al.. (2024). Characterizing PFAS hazards and risks: a human population-based in vitro cardiotoxicity assessment strategy. Human Genomics. 18(1). 92–92. 6 indexed citations

AbdulHameed, Mohamed Diwan M., Deepak Mav, Dhiral Phadke, et al.. (2024). Exposure to PFAS chemicals induces sex-dependent alterations in key rate-limiting steps of lipid metabolism in liver steatosis. SHILAP Revista de lepidopterología. 6. 1390196–1390196. 11 indexed citations

Foley, Julie F., Dhiral Phadke, Deepak Mav, et al.. (2023). Whole exome and transcript profiling of liver following aflatoxin B1 exposure in rats. Journal of Applied Toxicology. 43(9). 1293–1305. 4 indexed citations

Pannala, Venkat R., Deepak Mav, Dhiral Phadke, et al.. (2023). High-Throughput Transcriptomics Differentiates Toxic versus Non-Toxic Chemical Exposures Using a Rat Liver Model. International Journal of Molecular Sciences. 24(24). 17425–17425. 3 indexed citations

10.

Schmidt, Lena, Juleen Lam, Brian E. Howard, et al.. (2020). Risk and Protective Factors in the COVID-19 Pandemic: A Rapid Evidence Map. Frontiers in Public Health. 8. 582205–582205. 18 indexed citations

11.

Mav, Deepak, Dhiral Phadke, Logan J. Everett, et al.. (2019). Development of a Zebrafish S1500+ Sentinel Gene Set for High-Throughput Transcriptomics. Zebrafish. 16(4). 331–347. 9 indexed citations

12.

Kovi, Ramesh C., Sachin Bhusari, Deepak Mav, et al.. (2019). Genome-wide promoter DNA methylation profiling of hepatocellular carcinomas arising either spontaneously or due to chronic exposure to Ginkgo biloba extract (GBE) in B6C3F1/N mice. Archives of Toxicology. 93(8). 2219–2235. 5 indexed citations

13.

Li, Ruifang, Sara A. Grimm, Deepak Mav, et al.. (2018). Transcriptome and DNA Methylome Analysis in a Mouse Model of Diet-Induced Obesity Predicts Increased Risk of Colorectal Cancer. Cell Reports. 22(3). 624–637. 52 indexed citations

14.

Merrick, B. Alex, et al.. (2018). HAfTs are novel lncRNA transcripts from aflatoxin exposure. PLoS ONE. 13(1). e0190992–e0190992. 9 indexed citations

15.

Foley, Julie F., Dhiral Phadke, Sara Hardy, et al.. (2018). Whole exome sequencing in the rat. BMC Genomics. 19(1). 487–487. 9 indexed citations

16.

Howard, Brian E., Jason Phillips, Kyle J. Miller, et al.. (2016). SWIFT-Review: a text-mining workbench for systematic review. Systematic Reviews. 5(1). 87–87. 120 indexed citations

17.

Li, Ruifang, Sara A. Grimm, Kaliopi Chrysovergis, et al.. (2014). Obesity, Rather Than Diet, Drives Epigenomic Alterations in Colonic Epithelium Resembling Cancer Progression. Cell Metabolism. 19(4). 702–711. 55 indexed citations

18.

Qiu, Lianqun, et al.. (2014). Global Analysis of Posttranscriptional Gene Expression in Response to Sodium Arsenite. Environmental Health Perspectives. 123(4). 324–330. 9 indexed citations

19.

Shimbo, Takashi, Ying Du, Sara A. Grimm, et al.. (2013). MBD3 Localizes at Promoters, Gene Bodies and Enhancers of Active Genes. PLoS Genetics. 9(12). e1004028–e1004028. 84 indexed citations

20.

Dhasarathy, Archana, Dhiral Phadke, Deepak Mav, Ruchir Shah, & Paul A. Wade. (2011). The Transcription Factors Snail and Slug Activate the Transforming Growth Factor-Beta Signaling Pathway in Breast Cancer. PLoS ONE. 6(10). e26514–e26514. 134 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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