Manikanta Murahari
- Molecular Biology
- Organic Chemistry top 5%
- Computational Theory and Mathematics top 2%
- Oncology
- Pharmaceutical Science top 2%
- Co-authors
- Vasanti SuvarnaVivek ChandramohanAtul P. SherjeDSNBK PrasanthA. Lakshmana RaoErcan BursalFikret TürkanSiva Prasad Panda
- Topics
- Computational Drug Discovery Methods (19 papers)Synthesis and biological activity (11 papers)Cancer therapeutics and mechanisms (9 papers)
- Journals
- Chemical Physics LettersEuropean Journal of PharmacologyEuropean Journal of Medicinal Chemistry
- Partner nations
- IndiaTürkiyeNetherlands
In The Last Decade
Manikanta Murahari
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 468
- Organic Chemistry 334
- Computational Theory and Mathematics 270
- Oncology 164
- Pharmaceutical Science 140
Countries citing papers authored by Manikanta Murahari
This map shows the geographic impact of Manikanta Murahari'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 Manikanta Murahari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manikanta Murahari more than expected).
Fields of papers citing papers by Manikanta Murahari
This network shows the impact of papers produced by Manikanta Murahari. 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 Manikanta Murahari. The network helps show where Manikanta Murahari may publish in the future.
Co-authorship network of co-authors of Manikanta Murahari
This figure shows the co-authorship network connecting the top 25 collaborators of Manikanta Murahari. A scholar is included among the top collaborators of Manikanta Murahari 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 Manikanta Murahari. Manikanta Murahari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 8 | |
| 11 | 22 | |
| 12 | 13 | |
| 13 | 15 | |
| 14 | 122 | |
| 15 | 24 | |
| 16 | 118 | |
| 17 | 28 | |
| 18 | 82 | |
| 19 | 47 | |
| 20 | 21 |
About Manikanta Murahari
Manikanta Murahari is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Organic Chemistry, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (19 papers), Synthesis and biological activity (11 papers) and Cancer therapeutics and mechanisms (9 papers). The work is most often cited by research in Pharmaceutical Science (140 citations), Computational Theory and Mathematics (270 citations) and Organic Chemistry (334 citations). Manikanta Murahari has collaborated with scholars based in India, Türkiye and Netherlands. Frequent co-authors include Vasanti Suvarna, Vasanti Suvarna, Vivek Chandramohan, Atul P. Sherje, DSNBK Prasanth, A. Lakshmana Rao, Ercan Bursal, Fikret Türkan, Siva Prasad Panda and Mayur C. Yergeri. Their work appears in journals such as Chemical Physics Letters, European Journal of Pharmacology 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.