Meena Tiwari
- Organic Chemistry top 10%
- Molecular Biology
- Pharmacology
- Computational Theory and Mathematics top 10%
- Biomaterials
- Co-authors
- Claudiu T. SupuranVineet Kumar SinghAditi SharmaSurendra KumarDaniela VulloJai Prakash AgarwalSushant K. ShrivastavaK.A. Dinshaw
- Topics
- Enzyme function and inhibition (7 papers)Computational Drug Discovery Methods (7 papers)HIV/AIDS drug development and treatment (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioorganic & Medicinal ChemistryBioorganic & Medicinal Chemistry Letters
In The Last Decade
Meena Tiwari
27 papers receiving 328 citations
Peers
Comparison fields: 5 of 74
- Organic Chemistry 170
- Molecular Biology 161
- Pharmacology 55
- Computational Theory and Mathematics 53
- Biomaterials 51
Countries citing papers authored by Meena Tiwari
This map shows the geographic impact of Meena Tiwari'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 Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Tiwari more than expected).
Fields of papers citing papers by Meena Tiwari
This network shows the impact of papers produced by Meena Tiwari. 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 Tiwari. The network helps show where Meena Tiwari may publish in the future.
Co-authorship network of co-authors of Meena Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of Meena Tiwari. A scholar is included among the top collaborators of Meena Tiwari 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 Meena Tiwari. Meena Tiwari 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 | 1 | |
| 3 | 13 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | Structural optimization of new class of selective carbonic anhydrase inhibitors: QSAR approach | 2 |
| 11 | 9 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 32 | |
| 15 | 8 | |
| 16 | 7 | |
| 17 | 3D-QSAR Study Of Some 5, 6-Dihydropyran-2-Ones As Protease Inhibitors | 4 |
| 18 | Simultaneous Spectrophotometer Determination Of Propranolol Hydrochloride And Hydrochlorothiazide In Pharmaceutical Formulations | 5 |
| 19 | 14 | |
| 20 | Quantitative Structure Activity Relationship Analysis of a Series of Antiinflammatory 5-phenyl-3H-imidazo(4,5-c) (1,8) naphthyridin-4-(5H)-ones | 1 |
About Meena Tiwari
Meena Tiwari is a scholar working on Virology, Computational Theory and Mathematics and Organic Chemistry, having authored 28 papers that have together received 340 indexed citations. Recurring topics across this work include Enzyme function and inhibition (7 papers), Computational Drug Discovery Methods (7 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Organic Chemistry (170 citations), Physical and Theoretical Chemistry (37 citations) and Biomaterials (51 citations). Meena Tiwari has collaborated with scholars based in India, Italy and Nepal. Frequent co-authors include Claudiu T. Supuran, Vineet Kumar Singh, Aditi Sharma, Surendra Kumar, Daniela Vullo, Jai Prakash Agarwal, Sushant K. Shrivastava, K.A. Dinshaw, Pankaj Chaturvedi and Anil D’Cruz. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioorganic & Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.
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.