Somya Sinha
Impact in
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- Nanoparticle-Based Drug Delivery
Papers in
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- Plant tissue culture and regeneration 2
- Co-authors
- Debasis Mitra (8 shared papers)Piyush Kumar Gupta (6 shared papers)Kumud Pant (11 shared papers)Rohit Kumar (3 shared papers)Sourav Chattaraj (3 shared papers)Jigisha Anand (7 shared papers)Periyasamy Panneerselvam (2 shared papers)Bahman Khoshru (2 shared papers)
In The Last Decade
Somya Sinha
28 papers receiving 258 citations
Peers
Comparison fields: 5 of 84
- Biomaterials 29
- Pharmaceutical Science 10
- Pollution 18
- Plant Science 56
- Complementary and alternative medicine 10
Countries citing papers authored by Somya Sinha
This map shows the geographic impact of Somya Sinha'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 Somya Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Somya Sinha more than expected).
Fields of papers citing papers by Somya Sinha
This network shows the impact of papers produced by Somya Sinha. 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 Somya Sinha. The network helps show where Somya Sinha may publish in the future.
Co-authors
The 25 scholars most cited alongside Somya Sinha, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 40 | |
| 2 | 2023 | 28 | |
| 3 | 2023 | 26 | |
| 4 | 2023 | 21 | |
| 5 | 2024 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2024 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Somya Sinha
Somya Sinha is a scholar working on Molecular Biology, Plant Science, Materials Chemistry, Epidemiology and Biomedical Engineering, having authored 36 papers that have together received 263 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (6 papers), Microplastics and Plastic Pollution (2 papers), Gestational Diabetes Research and Management (2 papers), Computational Drug Discovery Methods (2 papers), Advanced Nanomaterials in Catalysis (2 papers), Graphene and Nanomaterials Applications (2 papers), Plant tissue culture and regeneration (2 papers) and Marine Biology and Environmental Chemistry (1 paper). The work is most often cited by research in Biomaterials (29 citations), Pharmaceutical Science (10 citations), Pollution (18 citations), Plant Science (56 citations) and Complementary and alternative medicine (10 citations). Somya Sinha has collaborated with scholars based in India, Malaysia and Türkiye. Frequent co-authors include Debasis Mitra, Piyush Kumar Gupta, Kumud Pant, Rohit Kumar, Sourav Chattaraj, Jigisha Anand, Periyasamy Panneerselvam, Bahman Khoshru, Pradeep K. Das Mohapatra and Kavindra Kumar Kesari. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, International Journal of Polymeric Materials, Molecular Pharmaceutics, Journal of Drug Delivery Science and Technology and Archives of Disease in Childhood Fetal & Neonatal.
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.