Deepak Mav

2.7k citations
41 papers · 2.1k · h-index 19

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Gene expression and cancer classification 6
    • Bioinformatics and Genomic Networks 5
    • Genomics and Chromatin Dynamics 3
    • Genomics and Phylogenetic Studies 3
    • Per- and polyfluoroalkyl substances research 5

Deepak Mav

38 papers receiving 2k citations

Peers

Deepak Mav
Comparison fields: 5 of 130
  • Cancer Research 430
  • Health, Toxicology and Mutagenesis 295
  • Environmental Chemistry 126
  • Statistics, Probability and Uncertainty 118
  • Small Animals 100
Replace Ruchir Shah with:
Ruchir Shah United States
Kathryn Gallagher United States
Linda Rieswijk Netherlands
Scott C. Wesselkamper United States
Karol L. Thompson United States
Brigitte Landesmann Italy
Syril D. Pettit United States
Zengjun Wang China
Barry A. Rosenzweig United States
Shanshan Qin China
Deepak Mav relative to Ruchir Shah United States Ruchir Shah's profile →
Citations per field
00.5×1.5×
Ruchir Shah · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Deepak Mav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepak Mav Line = papers co-authored together Deepak Mav links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012337
2 2018177
3 2016147
4 2011145
5 2010142
6 2018122
7 2020115
8 2008112
9 201388
10 201082
11 200979
12 202066
13 201463
14 201858
15 201352
16 200741
17 202240
18 201136
19 201425
20 202416

About Deepak Mav

Deepak Mav is a scholar working on Molecular Biology, Environmental Chemistry, Cancer Research, Pharmacology and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers), Carcinogens and Genotoxicity Assessment (5 papers), Per- and polyfluoroalkyl substances research (5 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Genomics and Chromatin Dynamics (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Cancer Research (430 citations), Health, Toxicology and Mutagenesis (295 citations), Environmental Chemistry (126 citations), Statistics, Probability and Uncertainty (118 citations) and Small Animals (100 citations). Deepak Mav has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Ruchir Shah, Paul A. Wade, Dhiral P. Phadke, Archana Dhasarathy, Bruce Alex Merrick, Scott S. Auerbach, Arpit Tandon, Brian E. Howard, Jason Phillips and Piotr A. Mieczkowski. Their work appears in journals such as PLoS ONE, Toxicological Sciences, Bioinformatics and Biology Insights, BMC Bioinformatics and Environmental Health Perspectives.

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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