Parameswaran Ramachandran
- Co-authors
- A. AntoniouWu-Sheng LuTheodore J. PerkinsGareth PalidworChristopher J. PorterJillian HaightTak W. MakP. P. Vaidyanathan
- Topics
- Fractal and DNA sequence analysis (8 papers)Machine Learning in Bioinformatics (7 papers)RNA and protein synthesis mechanisms (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Parameswaran Ramachandran
23 papers receiving 268 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 241
- Cancer Research 29
- Oncology 28
- Immunology 25
- Cell Biology 9
Countries citing papers authored by Parameswaran Ramachandran
This map shows the geographic impact of Parameswaran Ramachandran'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 Parameswaran Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parameswaran Ramachandran more than expected).
Fields of papers citing papers by Parameswaran Ramachandran
This network shows the impact of papers produced by Parameswaran Ramachandran. 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 Parameswaran Ramachandran. The network helps show where Parameswaran Ramachandran may publish in the future.
Co-authorship network of co-authors of Parameswaran Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of Parameswaran Ramachandran. A scholar is included among the top collaborators of Parameswaran Ramachandran 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 Parameswaran Ramachandran. Parameswaran Ramachandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 44 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 28 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 16 | |
| 17 | 10 | |
| 18 | 18 | |
| 19 | 2 | |
| 20 | The indian national satellite system-INSAT | 4 |
About Parameswaran Ramachandran
Parameswaran Ramachandran is a scholar working on Molecular Biology, Biophysics and Immunology, having authored 24 papers that have together received 285 indexed citations. Recurring topics across this work include Fractal and DNA sequence analysis (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Molecular Biology (241 citations), Cancer Research (29 citations) and Immunology (25 citations). Parameswaran Ramachandran has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include A. Antoniou, Wu-Sheng Lu, Theodore J. Perkins, Gareth Palidwor, Christopher J. Porter, Jillian Haight, Tak W. Mak, P. P. Vaidyanathan, Carmen Dominguez‐Brauer and Rahima Khatun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.