Deepak Mav

2.6k total citations
35 papers, 1.8k citations indexed

About

Deepak Mav is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Deepak Mav has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Deepak Mav's work include Epigenetics and DNA Methylation (8 papers), Gene expression and cancer classification (7 papers) and Molecular Biology Techniques and Applications (6 papers). Deepak Mav is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Gene expression and cancer classification (7 papers) and Molecular Biology Techniques and Applications (6 papers). Deepak Mav collaborates with scholars based in United States, France and India. Deepak Mav's co-authors include Ruchir Shah, Paul A. Wade, Dhiral Phadke, Archana Dhasarathy, B. Alex Merrick, Scott S. Auerbach, Sara A. Grimm, Arpit Tandon, Piotr A. Mieczkowski and Ewa P. Malc and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Deepak Mav

33 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepak Mav United States	18	1.1k	358	278	260	152	35	1.8k
Zhou Zhang China	24	941 0.9×	302 0.8×	164 0.6×	126 0.5×	135 0.9×	103	2.0k
Panpan Chen China	23	556 0.5×	196 0.5×	112 0.4×	116 0.4×	103 0.7×	101	1.8k
Ting Ye China	25	958 0.9×	493 1.4×	130 0.5×	273 1.1×	55 0.4×	113	2.2k
Endre Anderssen Norway	23	1.2k 1.1×	174 0.5×	101 0.4×	176 0.7×	221 1.5×	42	2.0k
Xiaofeng Xu China	29	1.3k 1.2×	754 2.1×	247 0.9×	331 1.3×	165 1.1×	153	2.6k
Ashraful Hoque United States	27	767 0.7×	618 1.7×	185 0.7×	556 2.1×	215 1.4×	64	2.2k
Robert R. Delongchamp United States	25	780 0.7×	279 0.8×	165 0.6×	219 0.8×	178 1.2×	104	2.0k
Jian Yang China	28	836 0.8×	319 0.9×	168 0.6×	301 1.2×	129 0.8×	163	2.4k
Neal F. Cariello United States	26	1.3k 1.2×	488 1.4×	102 0.4×	284 1.1×	225 1.5×	47	1.9k
Vanessa Dumeaux Canada	20	729 0.7×	206 0.6×	80 0.3×	338 1.3×	255 1.7×	56	1.5k

Countries citing papers authored by Deepak Mav

Since Specialization

Citations

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

Fields of papers citing papers by Deepak Mav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Mav

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Mav. A scholar is included among the top collaborators of Deepak Mav 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 Deepak Mav. Deepak Mav 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.

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

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

Howard, Brian E., Jason Phillips, Arpit Tandon, et al.. (2020). SWIFT-Active Screener: Accelerated document screening through active learning and integrated recall estimation. Environment International. 138. 105623–105623. 90 indexed citations

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

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

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

10.

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

11.

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

12.

Li, Ruifang, Deepak Mav, Sara A. Grimm, et al.. (2014). Fine-tuning of epigenetic regulation with respect to promoter CpG content in a cell type-specific manner. Epigenetics. 9(5). 747–759. 10 indexed citations

13.

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

14.

Lai, Anne Y., Deepak Mav, Ruchir Shah, et al.. (2013). DNA methylation profiling in human B cells reveals immune regulatory elements and epigenetic plasticity at Alu elements during B-cell activation. Genome Research. 23(12). 2030–2041. 85 indexed citations

15.

Roberts, Steven A., Joan F. Sterling, Shawn Harris, et al.. (2012). Clustered Mutations in Yeast and in Human Cancers Can Arise from Damaged Long Single-Strand DNA Regions. Molecular Cell. 46(4). 424–435. 314 indexed citations

16.

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

17.

Baniwal, Sanjeev K., Omar Khalid, Yankel Gabet, et al.. (2010). Runx2 transcriptome of prostate cancer cells: insights into invasiveness and bone metastasis. Molecular Cancer. 9(1). 258–258. 139 indexed citations

18.

Auerbach, Scott S., Ruchir Shah, Deepak Mav, et al.. (2009). Predicting the hepatocarcinogenic potential of alkenylbenzene flavoring agents using toxicogenomics and machine learning. Toxicology and Applied Pharmacology. 243(3). 300–314. 67 indexed citations

19.

Thorne, Peter S., Richard D. Cohn, Deepak Mav, Samuel J. Arbes, & Darryl C. Zeldin. (2008). Predictors of Endotoxin Levels in U.S. Housing. Environmental Health Perspectives. 117(5). 763–771. 105 indexed citations

20.

Leiss, Jack K., et al.. (2008). Blood exposure incidence rates from the North Carolina study of home Care and hospice nurses. American Journal of Industrial Medicine. 52(2). 99–104. 15 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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