Vikash Verma
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Genomics and Chromatin Dynamics 7
- DNA Repair Mechanisms 2
- RNA Interference and Gene Delivery 2
-
- Microtubule and mitosis dynamics 7
- Co-authors
- Anshumali Mittal (2 shared papers)Thomas J. Maresca (6 shared papers)Rajesh Kumar Ranjan (1 shared paper)Sandeep Kaushik (1 shared paper)Kavyashree Manjunath (1 shared paper)Sujeet Kumar (1 shared paper)Arun Khattri (1 shared paper)Tapan K. Chaudhuri (2 shared papers)
- Journals
- IEEE Sensors Journal (4 papers)The Journal of Cell Biology (4 papers)PLoS Pathogens (2 papers)Molecular Cell (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Vikash Verma
25 papers receiving 644 citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 203
- Cell Biology 116
- Bioengineering 38
- Modeling and Simulation 24
- General Dentistry 6
Countries citing papers authored by Vikash Verma
This map shows the geographic impact of Vikash Verma'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 Vikash Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikash Verma more than expected).
Fields of papers citing papers by Vikash Verma
This network shows the impact of papers produced by Vikash Verma. 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 Vikash Verma. The network helps show where Vikash Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikash Verma, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 177 | |
| 2 | 2022 | 78 | |
| 3 | 2020 | 48 | |
| 4 | 2008 | 44 | |
| 5 | 2012 | 39 | |
| 6 | 2023 | 37 | |
| 7 | 2019 | 28 | |
| 8 | 2016 | 27 | |
| 9 | 2024 | 26 | |
| 10 | 2019 | 22 | |
| 11 | 2024 | 22 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 19 | |
| 14 | 2024 | 13 | |
| 15 | 2025 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2015 | 6 | |
| 18 | 2010 | 6 | |
| 19 | 2019 | 6 | |
| 20 | 2023 | 4 |
About Vikash Verma
Vikash Verma is a scholar working on Molecular Biology, Cell Biology, Electrical and Electronic Engineering, Materials Chemistry and Plant Science, having authored 28 papers that have together received 648 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (7 papers), Gas Sensing Nanomaterials and Sensors (5 papers), 2D Materials and Applications (3 papers), DNA Repair Mechanisms (2 papers), Microgrid Control and Optimization (2 papers), Frequency Control in Power Systems (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Infectious Diseases (203 citations), Cell Biology (116 citations), Bioengineering (38 citations), Modeling and Simulation (24 citations) and General Dentistry (6 citations). Vikash Verma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Anshumali Mittal, Thomas J. Maresca, Rajesh Kumar Ranjan, Sandeep Kaushik, Kavyashree Manjunath, Sujeet Kumar, Arun Khattri, Tapan K. Chaudhuri, Chandrabhan Patel and Shaibal Mukherjee. Their work appears in journals such as IEEE Sensors Journal, The Journal of Cell Biology, PLoS Pathogens, Molecular Cell and Molecular Biology of the Cell.
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.