Deepak Mav
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Epigenetics and DNA Methylation 8
- Gene expression and cancer classification 7
- Molecular Biology Techniques and Applications 5
- Cancer-related gene regulation 3
- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Ruchir Shah (34 shared papers)Paul A. Wade (8 shared papers)Dhiral Phadke (18 shared papers)Archana Dhasarathy (3 shared papers)B. Alex Merrick (9 shared papers)Scott S. Auerbach (11 shared papers)Sara A. Grimm (5 shared papers)Arpit Tandon (5 shared papers)
- Journals
- PLoS ONE (4 papers)Bioinformatics and Biology Insights (2 papers)Toxicological Sciences (2 papers)Bioinformatics (1 paper)Toxics (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Deepak Mav
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 142
- Cancer Research 335
- Health, Toxicology and Mutagenesis 287
- Molecular Biology 1.0k
- Environmental Chemistry 103
- Oncology 241
Countries citing papers authored by Deepak Mav
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
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.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 322 | |
| 2 | 2018 | 163 | |
| 3 | 2010 | 142 | |
| 4 | 2011 | 139 | |
| 5 | 2016 | 134 | |
| 6 | 2018 | 114 | |
| 7 | 2008 | 109 | |
| 8 | 2020 | 94 | |
| 9 | 2013 | 91 | |
| 10 | 2013 | 87 | |
| 11 | 2010 | 83 | |
| 12 | 2009 | 78 | |
| 13 | 2014 | 57 | |
| 14 | 2018 | 56 | |
| 15 | 2013 | 50 | |
| 16 | 2007 | 37 | |
| 17 | 2022 | 36 | |
| 18 | 2011 | 35 | |
| 19 | 2014 | 24 | |
| 20 | 2008 | 15 |
About Deepak Mav
Deepak Mav is a scholar working on Molecular Biology, Cancer Research, Environmental Chemistry, Health, Toxicology and Mutagenesis and Computational Theory and Mathematics, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Gene expression and cancer classification (7 papers), Per- and polyfluoroalkyl substances research (5 papers), Molecular Biology Techniques and Applications (5 papers), Computational Drug Discovery Methods (3 papers), Cancer-related gene regulation (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (335 citations), Health, Toxicology and Mutagenesis (287 citations), Molecular Biology (1.0k citations), Environmental Chemistry (103 citations) and Oncology (241 citations). Deepak Mav has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ruchir Shah, Paul A. Wade, Dhiral Phadke, Archana Dhasarathy, B. Alex Merrick, Scott S. Auerbach, Sara A. Grimm, Arpit Tandon, Shawn Harris and Piotr A. Mieczkowski. Their work appears in journals such as PLoS ONE, Bioinformatics and Biology Insights, Toxicological Sciences, Bioinformatics and Toxics.
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.