Kakarla Ramakrishna
- Molecular Biology
- Pharmacology top 10%
- Organic Chemistry
- Physiology
- Neurology top 10%
- Co-authors
- Sairam KrishnamurthySachchida NandSantosh Kumar SinghBuchi N. NalluriNaresh DumalaMatte Kasi ViswanadhAshish KumarMichael J. Sofia
- Topics
- Neurological Disease Mechanisms and Treatments (6 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Kakarla Ramakrishna
24 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Molecular Biology 248
- Pharmacology 109
- Organic Chemistry 103
- Physiology 90
- Neurology 87
Countries citing papers authored by Kakarla Ramakrishna
This map shows the geographic impact of Kakarla Ramakrishna'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 Kakarla Ramakrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kakarla Ramakrishna more than expected).
Fields of papers citing papers by Kakarla Ramakrishna
This network shows the impact of papers produced by Kakarla Ramakrishna. 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 Kakarla Ramakrishna. The network helps show where Kakarla Ramakrishna may publish in the future.
Co-authorship network of co-authors of Kakarla Ramakrishna
This figure shows the co-authorship network connecting the top 25 collaborators of Kakarla Ramakrishna. A scholar is included among the top collaborators of Kakarla Ramakrishna 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 Kakarla Ramakrishna. Kakarla Ramakrishna 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 | Targeting c-MYC G-Quadruplexes for Cancer Treatment with Small Moleculesbreakdown → | 21 |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 44 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 22 | |
| 14 | WNT-β Catenin Signaling as a Potential Therapeutic Target for Neurodegenerative Diseases: Current Status and Future Perspectivebreakdown → | 119 |
| 15 | 11 | |
| 16 | 15 | |
| 17 | 13 | |
| 18 | 16 | |
| 19 | 34 | |
| 20 | 96 |
About Kakarla Ramakrishna
Kakarla Ramakrishna is a scholar working on Neurology, Pharmacology and Biological Psychiatry, having authored 28 papers that have together received 521 indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Neurology (87 citations) and Pharmacology (109 citations). Kakarla Ramakrishna has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Sairam Krishnamurthy, Sachchida Nand, Santosh Kumar Singh, Buchi N. Nalluri, Naresh Dumala, Sairam Krishnamurthy, Matte Kasi Viswanadh, Ashish Kumar, Michael J. Sofia and Suzanne Walker. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.
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.