Vikas Sharma
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
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- Epigenetics and DNA Methylation 11
-
- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 5
- Co-authors
- Chitra Sarkar (24 shared papers)K. Sachdev (7 shared papers)Pankaj Pathak (13 shared papers)Vaishali Suri (16 shared papers)Parmod Kumar (4 shared papers)M.L. Meena (8 shared papers)K. Asokan (4 shared papers)Mehar Chand Sharma (15 shared papers)
- Journals
- PLoS ONE (2 papers)Brain Tumor Pathology (2 papers)Toxicology and Applied Pharmacology (2 papers)RSC Advances (2 papers)Asian Journal of Pharmaceutics (2 papers)
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Vikas Sharma
83 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Genetics 275
- Cancer Research 241
- Polymers and Plastics 125
- Molecular Biology 536
- Molecular Medicine 38
Countries citing papers authored by Vikas Sharma
This map shows the geographic impact of Vikas Sharma'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 Vikas Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Sharma more than expected).
Fields of papers citing papers by Vikas Sharma
This network shows the impact of papers produced by Vikas Sharma. 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 Vikas Sharma. The network helps show where Vikas Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikas Sharma, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | 2017 | 90 | |
| 3 | 2016 | 64 | |
| 4 | 2016 | 57 | |
| 5 | 2017 | 56 | |
| 6 | 2012 | 42 | |
| 7 | 2014 | 41 | |
| 8 | 2011 | 41 | |
| 9 | 2019 | 40 | |
| 10 | 2011 | 40 | |
| 11 | 2016 | 39 | |
| 12 | 2015 | 37 | |
| 13 | 2021 | 34 | |
| 14 | 2011 | 33 | |
| 15 | 2020 | 33 | |
| 16 | 2011 | 33 | |
| 17 | 2016 | 32 | |
| 18 | 2019 | 31 | |
| 19 | 2022 | 28 | |
| 20 | 2014 | 27 |
About Vikas Sharma
Vikas Sharma is a scholar working on Molecular Biology, Cancer Research, Genetics, Polymers and Plastics and Mechanics of Materials, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Epigenetics and DNA Methylation (11 papers), Natural Fiber Reinforced Composites (8 papers), MicroRNA in disease regulation (7 papers), Tribology and Wear Analysis (7 papers), Cancer-related molecular mechanisms research (5 papers), Prostate Cancer Treatment and Research (4 papers) and Curcumin's Biomedical Applications (4 papers). The work is most often cited by research in Genetics (275 citations), Cancer Research (241 citations), Polymers and Plastics (125 citations), Molecular Biology (536 citations) and Molecular Medicine (38 citations). Vikas Sharma has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Chitra Sarkar, K. Sachdev, Pankaj Pathak, Vaishali Suri, Parmod Kumar, M.L. Meena, K. Asokan, Mehar Chand Sharma, Ashish Suri and Ashish Kumar. Their work appears in journals such as PLoS ONE, Brain Tumor Pathology, Toxicology and Applied Pharmacology, RSC Advances and Asian Journal of Pharmaceutics.
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.