Vinay Sharma
- Plant Science top 1%
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Pollution top 5%
- Genetics
- Co-authors
- Nilima KumariPooja ParmarShweta MittalJyoti SaxenaAfroz AlamRachna JainArindam KuilaMastan Mannarapu
- Topics
- Plant-Microbe Interactions and Immunity (19 papers)Plant Stress Responses and Tolerance (18 papers)Biofuel production and bioconversion (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Vinay Sharma
141 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 148
- Plant Science 1.9k
- Molecular Biology 1.1k
- Biomedical Engineering 266
- Pollution 206
- Genetics 174
Countries citing papers authored by Vinay Sharma
This map shows the geographic impact of Vinay 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 Vinay Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinay Sharma more than expected).
Fields of papers citing papers by Vinay Sharma
This network shows the impact of papers produced by Vinay 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 Vinay Sharma. The network helps show where Vinay Sharma may publish in the future.
Co-authorship network of co-authors of Vinay Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Vinay Sharma. A scholar is included among the top collaborators of Vinay Sharma 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 Vinay Sharma. Vinay Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 27 | |
| 8 | 34 | |
| 9 | 206 | |
| 10 | 37 | |
| 11 | 1 | |
| 12 | Ethanol fermentation from molasses using free and immobilized cells of Saccharomyces cerevisiae [MTCC3090] - a comparative study. | 1 |
| 13 | Genetic Diversity Analysis of Cluster Bean ( Cyamopsis tetragonoloba (L.) Taub) Genotypes Using RAPD and ISSR Markers | 12 |
| 14 | 286 | |
| 15 | 50 | |
| 16 | 11 | |
| 17 | 63 | |
| 18 | 8 | |
| 19 | 60 | |
| 20 | 64 |
About Vinay Sharma
Vinay Sharma is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 146 papers that have together received 3.3k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (19 papers), Plant Stress Responses and Tolerance (18 papers) and Biofuel production and bioconversion (15 papers). The work is most often cited by research in Plant Science (1.9k citations), Pollution (206 citations) and Molecular Biology (1.1k citations). Vinay Sharma has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Nilima Kumari, Pooja Parmar, Shweta Mittal, Jyoti Saxena, Afroz Alam, Rachna Jain, Arindam Kuila, Mastan Mannarapu, Dipak K. Majumdar and Tilak Raj Sharma. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.