Muralikrishnan Dhanasekaran
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 2%
- Complementary and alternative medicine top 0.5%
- Co-authors
- Vishnu SuppiramaniamBala V. ManyamKodeeswaran ParameshwaranBinu TharakanManoj GovindarajuluSindhu RameshSenthilkumar S. KaruppagounderTimothy Moore
- Topics
- Neuroscience and Neuropharmacology Research (20 papers)Parkinson's Disease Mechanisms and Treatments (16 papers)Coenzyme Q10 studies and effects (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECancer Research
- Partner nations
- United StatesSaudi ArabiaIndia
In The Last Decade
Muralikrishnan Dhanasekaran
119 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 1.0k
- Physiology 751
- Cellular and Molecular Neuroscience 625
- Pharmacology 498
- Complementary and alternative medicine 427
Countries citing papers authored by Muralikrishnan Dhanasekaran
This map shows the geographic impact of Muralikrishnan Dhanasekaran'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 Muralikrishnan Dhanasekaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muralikrishnan Dhanasekaran more than expected).
Fields of papers citing papers by Muralikrishnan Dhanasekaran
This network shows the impact of papers produced by Muralikrishnan Dhanasekaran. 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 Muralikrishnan Dhanasekaran. The network helps show where Muralikrishnan Dhanasekaran may publish in the future.
Co-authorship network of co-authors of Muralikrishnan Dhanasekaran
This figure shows the co-authorship network connecting the top 25 collaborators of Muralikrishnan Dhanasekaran. A scholar is included among the top collaborators of Muralikrishnan Dhanasekaran 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 Muralikrishnan Dhanasekaran. Muralikrishnan Dhanasekaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | The Influence of Kynurenine Metabolites on Neurodegenerative Pathologiesbreakdown → | 44 |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 29 | |
| 6 | 13 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 25 | |
| 12 | 24 | |
| 13 | 89 | |
| 14 | 9 | |
| 15 | 12 | |
| 16 | 68 | |
| 17 | 7 | |
| 18 | 48 | |
| 19 | 12 | |
| 20 | Designer drug- Trifluoromethylphenylpiperazine derivatives (TFMPP) - A future potential peril towards modern society | 1 |
About Muralikrishnan Dhanasekaran
Muralikrishnan Dhanasekaran is a scholar working on Toxicology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 126 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Parkinson's Disease Mechanisms and Treatments (16 papers) and Coenzyme Q10 studies and effects (9 papers). The work is most often cited by research in Biological Psychiatry (199 citations), Complementary and alternative medicine (427 citations) and Neurology (309 citations). Muralikrishnan Dhanasekaran has collaborated with scholars based in United States, Saudi Arabia and India. Frequent co-authors include Vishnu Suppiramaniam, Bala V. Manyam, Kodeeswaran Parameshwaran, Binu Tharakan, Manoj Govindarajulu, Sindhu Ramesh, Senthilkumar S. Karuppagounder, Timothy Moore, Jun Ren and Theodore A. Hare. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.