Rayala Swetha
Impact in
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Computational Drug Discovery Methods 10
-
- Cholinesterase and Neurodegenerative Diseases 6
- Co-authors
- Sushil Kumar Singh (14 shared papers)Gopichand Gutti (7 shared papers)Ashok Kumar (11 shared papers)N. Selvamurugan (2 shared papers)Ankit Ganeshpurkar (9 shared papers)Ravi Singh (7 shared papers)Devendra Kumar (5 shared papers)Meenakshi Singh (2 shared papers)
- Journals
- Future Medicinal Chemistry (3 papers)International Journal of Biological Macromolecules (3 papers)Journal of Biomolecular Structure and Dynamics (2 papers)Molecular Informatics (1 paper)Gene (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Rayala Swetha
17 papers receiving 410 citations
Peers
Comparison fields: 5 of 78
- Toxicology 20
- Drug Discovery 1
- Pharmacology 85
- Computational Theory and Mathematics 84
- Cancer Research 60
Countries citing papers authored by Rayala Swetha
This map shows the geographic impact of Rayala Swetha'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 Rayala Swetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rayala Swetha more than expected).
Fields of papers citing papers by Rayala Swetha
This network shows the impact of papers produced by Rayala Swetha. 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 Rayala Swetha. The network helps show where Rayala Swetha may publish in the future.
Co-authors
The 20 scholars most cited alongside Rayala Swetha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2017 | 54 | |
| 3 | 2016 | 37 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 26 | |
| 6 | 2021 | 26 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2013 | 19 | |
| 10 | 2022 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 5 | |
| 17 | FORMULATION AND EVALUATION OF CELECOXIB BIOADHESIVE MICROSPHERES | 2014 | 1 |
| 18 | 2023 | 0 |
About Rayala Swetha
Rayala Swetha is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Biology, Physiology and Cancer Research, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Alzheimer's disease research and treatments (4 papers), Protease and Inhibitor Mechanisms (2 papers), Synthesis and biological activity (2 papers), Estrogen and related hormone effects (2 papers), S100 Proteins and Annexins (1 paper) and Phosphodiesterase function and regulation (1 paper). The work is most often cited by research in Toxicology (20 citations), Drug Discovery (1 citation), Pharmacology (85 citations), Computational Theory and Mathematics (84 citations) and Cancer Research (60 citations). Rayala Swetha has collaborated with scholars based in India, United States and China. Frequent co-authors include Sushil Kumar Singh, Gopichand Gutti, Ashok Kumar, N. Selvamurugan, Ankit Ganeshpurkar, Ravi Singh, Devendra Kumar, Meenakshi Singh, Dileep Kumar and Dipankar Chatterji. Their work appears in journals such as Future Medicinal Chemistry, International Journal of Biological Macromolecules, Journal of Biomolecular Structure and Dynamics, Molecular Informatics and Gene.
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.