Deva S. Jeyaretna
Impact in
Papers in
- Neurology 10
- Neurofibromatosis and Schwannoma Cases 4
-
- Meningioma and schwannoma management 5
- Co-authors
- Samuel D. Rabkin (4 shared papers)Robert L. Martuza (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)Peter E. Fecci (1 shared paper)
- Journals
- World Neurosurgery (3 papers)Journal of Neuro-Oncology (2 papers)Acta Neurochirurgica (2 papers)Cortex (1 paper)Clinical Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Deva S. Jeyaretna
32 papers receiving 866 citations
Peers
Comparison fields: 5 of 82
- Genetics 153
- Oncology 288
- Genetics 289
- Biotechnology 71
- Neurology 106
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 285 | |
| 2 | 2013 | 175 | |
| 3 | 2013 | 70 | |
| 4 | 2010 | 69 | |
| 5 | 2010 | 55 | |
| 6 | 2016 | 28 | |
| 7 | 2015 | 23 | |
| 8 | 2007 | 20 | |
| 9 | 2017 | 18 | |
| 10 | 2011 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2024 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 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 |
| 17 | 2007 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2007 | 6 | |
| 20 | 2020 | 5 |
About Deva S. Jeyaretna
Deva S. Jeyaretna is a scholar working on Neurology, Epidemiology, Surgery, Genetics and Oncology, having authored 36 papers that have together received 876 indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (5 papers), Meningioma and schwannoma management (5 papers), Virus-based gene therapy research (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Neural and Behavioral Psychology Studies (3 papers), CAR-T cell therapy research (3 papers) and Sinusitis and nasal conditions (2 papers). The work is most often cited by research in Genetics (153 citations), Oncology (288 citations), Genetics (289 citations), Biotechnology (71 citations) and Neurology (106 citations). Deva S. Jeyaretna has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Samuel D. Rabkin, Robert L. Martuza, Hiroaki Wakimoto, Toshihiko Kuroda, William T. Curry, Anat Stemmer‐Rachamimov, Tooba A. Cheema, Peter E. Fecci, Jianfang Ning and Santosh Kesari. Their work appears in journals such as World Neurosurgery, Journal of Neuro-Oncology, Acta Neurochirurgica, Cortex and Clinical Oncology.
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.