Supriya Sharma
- Public Health, Environmental and Occupational Health top 10%
- Organic Chemistry
- Molecular Biology
- Infectious Diseases
- Computational Theory and Mathematics top 10%
- Co-authors
- Mohammad Mumtaz AlamMymoona AkhterVeena PandeAnupkumar R. AnvikarC. R. PillaiOmprakash TanwarMitsuo ZamaSandeep Kumar
- Topics
- Malaria Research and Control (22 papers)Mosquito-borne diseases and control (13 papers)Computational Drug Discovery Methods (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEuropean Journal of Medicinal Chemistry
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Supriya Sharma
40 papers receiving 429 citations
Peers
Comparison fields: 5 of 82
- Public Health, Environmental and Occupational Health 177
- Organic Chemistry 115
- Molecular Biology 79
- Infectious Diseases 75
- Computational Theory and Mathematics 58
Countries citing papers authored by Supriya Sharma
This map shows the geographic impact of Supriya 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 Supriya Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriya Sharma more than expected).
Fields of papers citing papers by Supriya Sharma
This network shows the impact of papers produced by Supriya 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 Supriya Sharma. The network helps show where Supriya Sharma may publish in the future.
Co-authorship network of co-authors of Supriya Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Sharma. A scholar is included among the top collaborators of Supriya 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 Supriya Sharma. Supriya 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 | 6 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 83 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 41 | |
| 19 | 0 | |
| 20 | 15 |
About Supriya Sharma
Supriya Sharma is a scholar working on Public Health, Environmental and Occupational Health, Computational Theory and Mathematics and Energy Engineering and Power Technology, having authored 45 papers that have together received 438 indexed citations. Recurring topics across this work include Malaria Research and Control (22 papers), Mosquito-borne diseases and control (13 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (177 citations), Infectious Diseases (75 citations) and Organic Chemistry (115 citations). Supriya Sharma has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Mohammad Mumtaz Alam, Mymoona Akhter, Veena Pande, Anupkumar R. Anvikar, C. R. Pillai, Omprakash Tanwar, Mitsuo Zama, Sandeep Kumar, Kevin C. Kain and Ashutosh Kumar Pandey. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Medicinal Chemistry.
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.