Amit Sharma
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 0.5%
- Parasitology top 1%
- Immunology top 5%
- Epidemiology top 5%
- Co-authors
- M. YogavelChetan E. ChitnisManju RahiJyoti Chhibber‐GoelSaurabh Kumar SinghHassan BelrhaliArvind SharmaVitul Jain
- Topics
- Malaria Research and Control (86 papers)Mosquito-borne diseases and control (55 papers)RNA and protein synthesis mechanisms (47 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Amit Sharma
209 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 161
- Molecular Biology 1.6k
- Public Health, Environmental and Occupational Health 1.6k
- Parasitology 583
- Immunology 546
- Epidemiology 531
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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 15 | |
| 18 | 43 | |
| 19 | Phytochemical study and In-Vitro Cytotoxic Activity of Cinnamomum tammala Linn. Against Ehrlich Ascites Carcinoma (EAC) and Dalton's Ascitic Lymphoma (DAL) Cell Lines | 2 |
| 20 | Colloidal Drug Carriers | 3 |
About Amit Sharma
Amit Sharma is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Modeling and Simulation, having authored 228 papers that have together received 4.1k indexed citations. Recurring topics across this work include Malaria Research and Control (86 papers), Mosquito-borne diseases and control (55 papers) and RNA and protein synthesis mechanisms (47 papers). The work is most often cited by research in Parasitology (583 citations), Public Health, Environmental and Occupational Health (1.6k citations) and Virology (179 citations). Amit Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include M. Yogavel, Chetan E. Chitnis, Manju Rahi, Jyoti Chhibber‐Goel, Saurabh Kumar Singh, Hassan Belrhali, Arvind Sharma, Vitul Jain, Rachna Hora and Sameena Khan. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.
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.