Meena Devi
Impact in
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- Computational Drug Discovery Methods
- Organic Chemistry top 10%
- Synthesis and biological activity
- Click Chemistry and Applications
- Synthesis and Characterization of Heterocyclic Compounds
Papers in
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- Synthesis and biological activity 12
- Click Chemistry and Applications 8
- Synthesis and Characterization of Heterocyclic Compounds 6
- Multicomponent Synthesis of Heterocycles 3
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- Computational Drug Discovery Methods 10
- Co-authors
- Prof Parvin Kumar (18 shared papers)Jayant Sindhu (18 shared papers)Rahul Singh (17 shared papers)Ashwani Kumar (16 shared papers)Sohan Lal (14 shared papers)Meenakshi Duhan (5 shared papers)Devender Singh (10 shared papers)Ramesh Kumar (4 shared papers)
In The Last Decade
Meena Devi
26 papers receiving 361 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 131
- Organic Chemistry 210
- Toxicology 19
- Biotechnology 25
- Endocrinology, Diabetes and Metabolism 28
Countries citing papers authored by Meena Devi
This map shows the geographic impact of Meena Devi'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 Meena Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Devi more than expected).
Fields of papers citing papers by Meena Devi
This network shows the impact of papers produced by Meena Devi. 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 Meena Devi. The network helps show where Meena Devi may publish in the future.
Co-authors
The 25 scholars most cited alongside Meena Devi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2020 | 40 | |
| 3 | 2021 | 33 | |
| 4 | 2022 | 24 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 13 | |
| 10 | DEVELOPMENT OF SOLID SELF EMULSIFYING DRUG DELIVERY SYSTEMS CONTAINING EFAVIRENZ: IN VITRO AND IN VIVO EVALUATION | 2013 | 11 |
| 11 | 2021 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2023 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2025 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2023 | 6 |
About Meena Devi
Meena Devi is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Materials Chemistry, Molecular Biology and Pharmaceutical Science, having authored 29 papers that have together received 369 indexed citations. Recurring topics across this work include Synthesis and biological activity (12 papers), Computational Drug Discovery Methods (10 papers), Click Chemistry and Applications (8 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), Nanoparticles: synthesis and applications (3 papers), Multicomponent Synthesis of Heterocycles (3 papers), Enzyme Production and Characterization (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Organic Chemistry (210 citations), Toxicology (19 citations), Biotechnology (25 citations) and Endocrinology, Diabetes and Metabolism (28 citations). Meena Devi has collaborated with scholars based in India, Italy and Japan. Frequent co-authors include Prof Parvin Kumar, Jayant Sindhu, Rahul Singh, Ashwani Kumar, Sohan Lal, Meenakshi Duhan, Devender Singh, Ramesh Kumar, Khalid Hussain and Ramesh Kataria. Their work appears in journals such as New Journal of Chemistry, European Journal of Medicinal Chemistry, Journal of Physics and Chemistry of Solids, Computers in Biology and Medicine and Future 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.