Vairavan Narayanan
- Surgery top 10%
- Biomedical Engineering top 10%
- Epidemiology
- Neurology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Vicknes WaranRavindran KaruppiahSarah L.F. OwenTipu Z. AzizZainal Ariff Abdul RahmanNorlisah RamliVigneswaran VeeramuthuDharmendra Ganesan
- Topics
- Traumatic Brain Injury and Neurovascular Disturbances (13 papers)Traumatic Brain Injury Research (12 papers)Glioma Diagnosis and Treatment (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEInternational Journal of Molecular Sciences
- Partner nations
- MalaysiaUnited KingdomSingapore
In The Last Decade
Vairavan Narayanan
47 papers receiving 722 citations
Peers
Comparison fields: 5 of 92
- Surgery 326
- Biomedical Engineering 299
- Epidemiology 166
- Neurology 157
- Radiology, Nuclear Medicine and Imaging 149
Countries citing papers authored by Vairavan Narayanan
This map shows the geographic impact of Vairavan Narayanan'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 Vairavan Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vairavan Narayanan more than expected).
Fields of papers citing papers by Vairavan Narayanan
This network shows the impact of papers produced by Vairavan Narayanan. 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 Vairavan Narayanan. The network helps show where Vairavan Narayanan may publish in the future.
Co-authorship network of co-authors of Vairavan Narayanan
This figure shows the co-authorship network connecting the top 25 collaborators of Vairavan Narayanan. A scholar is included among the top collaborators of Vairavan Narayanan 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 Vairavan Narayanan. Vairavan Narayanan 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 100 | |
| 18 | 54 | |
| 19 | 91 | |
| 20 | 16 |
About Vairavan Narayanan
Vairavan Narayanan is a scholar working on Computational Mathematics, Genetics and Neurology, having authored 57 papers that have together received 734 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Traumatic Brain Injury Research (12 papers) and Glioma Diagnosis and Treatment (11 papers). The work is most often cited by research in Neurology (157 citations), Surgery (326 citations) and Biomedical Engineering (299 citations). Vairavan Narayanan has collaborated with scholars based in Malaysia, United Kingdom and Singapore. Frequent co-authors include Vicknes Waran, Ravindran Karuppiah, Sarah L.F. Owen, Tipu Z. Aziz, Zainal Ariff Abdul Rahman, Norlisah Ramli, Vigneswaran Veeramuthu, Dharmendra Ganesan, R. Raman and Mark W. Bondi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.
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.