Amit Sharma
- Molecular Biology top 10%
- Cancer Research top 5%
- Immunology
- Plant Science top 10%
- Biomedical Engineering
- Co-authors
- Balaram GhoshManish KumarAnurag AgrawalRajesh P. SinghVivekanand VivekanandUlaganathan MabalirajanTanveer AhmadSarvesh Kumar
- Topics
- Enzyme Structure and Function (6 papers)Photosynthetic Processes and Mechanisms (6 papers)Bacterial Genetics and Biotechnology (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Sharma
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 922
- Cancer Research 346
- Immunology 204
- Plant Science 179
- Biomedical Engineering 155
Countries citing papers authored by Amit Sharma
This map shows the geographic impact of Amit 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 Amit Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Sharma more than expected).
Fields of papers citing papers by Amit Sharma
This network shows the impact of papers produced by Amit 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 Amit Sharma. The network helps show where Amit Sharma may publish in the future.
Co-authorship network of co-authors of Amit Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Sharma. A scholar is included among the top collaborators of Amit 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 Amit Sharma. Amit 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 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 49 | |
| 8 | 27 | |
| 9 | Study on co-relation between concentration of distillery effluent and seedgermination of gram nut and kidney bean | 2 |
| 10 | 101 | |
| 11 | 32 | |
| 12 | 20 | |
| 13 | 258 | |
| 14 | 4 | |
| 15 | 44 | |
| 16 | 163 | |
| 17 | 46 | |
| 18 | Gluconic acid production by Aspergillus niger mutant ORS-4.410 in submerged and solid state surface fermentation. | 11 |
| 19 | 26 | |
| 20 | 61 |
About Amit Sharma
Amit Sharma is a scholar working on Biotechnology, Aging and Molecular Biology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Photosynthetic Processes and Mechanisms (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Cancer Research (346 citations), Pharmacology (150 citations) and Geriatrics and Gerontology (65 citations). Amit Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Balaram Ghosh, Manish Kumar, Anurag Agrawal, Rajesh P. Singh, Vivekanand Vivekanand, Ulaganathan Mabalirajan, Tanveer Ahmad, Sarvesh Kumar, Vandana Singhal and Ankur Kulshreshtha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.