Devika Agarwal
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Developmental Neuroscience top 10%
Papers in
-
- DNA Repair Mechanisms 10
- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 4
- Oncology 7
- Cancer-related Molecular Pathways 6
- Co-authors
- Graham Ball (18 shared papers)Ian O. Ellis (16 shared papers)Andrew R. Green (13 shared papers)Srinivasan Madhusudan (13 shared papers)Emad A. Rakha (11 shared papers)Stephen Chan (12 shared papers)Paul M. Moseley (11 shared papers)Rory Bowden (2 shared papers)
- Journals
- Molecular Oncology (3 papers)Breast Cancer Research and Treatment (3 papers)Molecular Cancer Therapeutics (2 papers)Oncotarget (2 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Devika Agarwal
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Neurology 151
- Developmental Neuroscience 56
- Cancer Research 193
- Oncology 254
- Neurology 131
Countries citing papers authored by Devika Agarwal
This map shows the geographic impact of Devika Agarwal'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 Devika Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devika Agarwal more than expected).
Fields of papers citing papers by Devika Agarwal
This network shows the impact of papers produced by Devika Agarwal. 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 Devika Agarwal. The network helps show where Devika Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Devika Agarwal, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 202 | |
| 2 | 2016 | 95 | |
| 3 | 2016 | 78 | |
| 4 | 2014 | 74 | |
| 5 | 2014 | 68 | |
| 6 | 2021 | 68 | |
| 7 | 2015 | 45 | |
| 8 | 2021 | 45 | |
| 9 | 2015 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2016 | 38 | |
| 12 | 2014 | 36 | |
| 13 | 2016 | 34 | |
| 14 | 2013 | 33 | |
| 15 | 2014 | 32 | |
| 16 | 2015 | 31 | |
| 17 | 2016 | 26 | |
| 18 | 2022 | 21 | |
| 19 | 2015 | 18 | |
| 20 | 2016 | 15 |
About Devika Agarwal
Devika Agarwal is a scholar working on Molecular Biology, Oncology, Neurology, Cancer Research and Immunology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Cancer-related Molecular Pathways (6 papers), Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genomics and Chromatin Dynamics (4 papers), Cancer Genomics and Diagnostics (2 papers), BRCA gene mutations in cancer (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Neurology (151 citations), Developmental Neuroscience (56 citations), Cancer Research (193 citations), Oncology (254 citations) and Neurology (131 citations). Devika Agarwal has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Graham Ball, Ian O. Ellis, Andrew R. Green, Srinivasan Madhusudan, Emad A. Rakha, Stephen Chan, Paul M. Moseley, Rory Bowden, Caleb Webber and Jimena Monzón‐Sandoval. Their work appears in journals such as Molecular Oncology, Breast Cancer Research and Treatment, Molecular Cancer Therapeutics, Oncotarget and Nature Communications.
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.