Varshini Vasudevaraja
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Chromatin Remodeling and Cancer 5
- Epigenetics and DNA Methylation 4
- Histone Deacetylase Inhibitors Research 3
- Genetics 13
- Glioma Diagnosis and Treatment 13
- Co-authors
- Matija Snuderl (22 shared papers)Jonathan Serrano (14 shared papers)Aristotelis Tsirigos (3 shared papers)Michael DeLorenzo (4 shared papers)Maria Gabriela Berzoti-Coelho (1 shared paper)Jochen Imig (1 shared paper)Iman Osman (1 shared paper)Carlos Monteagudo (1 shared paper)
- Journals
- Journal of Neuropathology & Experimental Neurology (4 papers)Acta Neuropathologica Communications (3 papers)Neuro-Oncology Advances (3 papers)Modern Pathology (3 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesBrazilSingapore
In The Last Decade
Varshini Vasudevaraja
26 papers receiving 730 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 271
- Genetics 156
- Molecular Biology 445
- Neurology 90
- Oncology 144
Countries citing papers authored by Varshini Vasudevaraja
This map shows the geographic impact of Varshini Vasudevaraja'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 Varshini Vasudevaraja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Varshini Vasudevaraja more than expected).
Fields of papers citing papers by Varshini Vasudevaraja
This network shows the impact of papers produced by Varshini Vasudevaraja. 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 Varshini Vasudevaraja. The network helps show where Varshini Vasudevaraja may publish in the future.
Co-authors
The 25 scholars most cited alongside Varshini Vasudevaraja, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 237 | |
| 2 | 2020 | 123 | |
| 3 | 2019 | 85 | |
| 4 | 2020 | 81 | |
| 5 | 2020 | 32 | |
| 6 | 2019 | 29 | |
| 7 | 2019 | 21 | |
| 8 | 2022 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 10 | |
| 12 | 2018 | 10 | |
| 13 | 2017 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2014 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 4 |
About Varshini Vasudevaraja
Varshini Vasudevaraja is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 29 papers that have together received 736 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (5 papers), Chromatin Remodeling and Cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Breast Cancer Treatment Studies (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (271 citations), Genetics (156 citations), Molecular Biology (445 citations), Neurology (90 citations) and Oncology (144 citations). Varshini Vasudevaraja has collaborated with scholars based in United States, Brazil and Singapore. Frequent co-authors include Matija Snuderl, Jonathan Serrano, Aristotelis Tsirigos, Michael DeLorenzo, Maria Gabriela Berzoti-Coelho, Jochen Imig, Iman Osman, Carlos Monteagudo, Iannis Aifantis and Verónica Dávalos. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Acta Neuropathologica Communications, Neuro-Oncology Advances, Modern Pathology and Clinical 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.