Deva S. Jeyaretna
Impact in
Papers in
- Epidemiology 12
- Meningioma and schwannoma management 8
- Neurology 11
- Neurofibromatosis and Schwannoma Cases 4
- Co-authors
- Robert L. Martuza (4 shared papers)Samuel D. Rabkin (4 shared papers)Hiroaki Wakimoto (3 shared papers)Toshihiko Kuroda (3 shared papers)William T. Curry (3 shared papers)Anat Stemmer‐Rachamimov (2 shared papers)Tooba A. Cheema (2 shared papers)Jianfang Ning (1 shared paper)
- Journals
- World Neurosurgery (3 papers)Acta Neurochirurgica (2 papers)Journal of Neuro-Oncology (2 papers)Cortex (1 paper)International Journal of Surgery (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Deva S. Jeyaretna
32 papers receiving 831 citations
Peers
Comparison fields: 5 of 88
- Genetics 174
- Oncology 320
- Genetics 285
- Neurology 147
- Biotechnology 77
Countries citing papers authored by Deva S. Jeyaretna
This map shows the geographic impact of Deva S. Jeyaretna'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 Deva S. Jeyaretna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deva S. Jeyaretna more than expected).
Fields of papers citing papers by Deva S. Jeyaretna
This network shows the impact of papers produced by Deva S. Jeyaretna. 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 Deva S. Jeyaretna. The network helps show where Deva S. Jeyaretna may publish in the future.
Co-authors
The 25 scholars most cited alongside Deva S. Jeyaretna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 279 | |
| 2 | 2013 | 168 | |
| 3 | 2010 | 69 | |
| 4 | 2013 | 67 | |
| 5 | 2010 | 55 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 22 | |
| 8 | 2007 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2018 | 13 | |
| 11 | 2011 | 13 | |
| 12 | 2024 | 9 | |
| 13 | 2019 | 9 | |
| 14 | Recent advances in the development of oncolytic HSV-1 vectors: 'arming' of HSV-1 vectors and application of bacterial artificial chromosome technology for their construction. | 2007 | 9 |
| 15 | 2007 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2007 | 6 | |
| 20 | 2021 | 4 |
About Deva S. Jeyaretna
Deva S. Jeyaretna is a scholar working on Epidemiology, Neurology, Surgery, Genetics and Molecular Biology, having authored 35 papers that have together received 842 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (8 papers), Head and Neck Surgical Oncology (6 papers), Virus-based gene therapy research (5 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Glioma Diagnosis and Treatment (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Brain Metastases and Treatment (3 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Genetics (174 citations), Oncology (320 citations), Genetics (285 citations), Neurology (147 citations) and Biotechnology (77 citations). Deva S. Jeyaretna has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robert L. Martuza, Samuel D. Rabkin, Hiroaki Wakimoto, Toshihiko Kuroda, William T. Curry, Anat Stemmer‐Rachamimov, Tooba A. Cheema, Jianfang Ning, Peter E. Fecci and Manish K. Aghi. Their work appears in journals such as World Neurosurgery, Acta Neurochirurgica, Journal of Neuro-Oncology, Cortex and International Journal of Surgery.
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.