Devika Agarwal
Impact in
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 5
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- DNA Repair Mechanisms 11
- Single-cell and spatial transcriptomics 8
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 3
- Co-authors
- Graham Ball (18 shared papers)Ian Ogilvie Ellis (16 shared papers)Andrew R. Green (13 shared papers)Srinivasan Madhusudan (13 shared papers)Emad A. Rakha (11 shared papers)Stephen Y.T. Chan (12 shared papers)Paul M. Moseley (11 shared papers)Rory J. Bowden (2 shared papers)
- Journals
- Molecular Oncology (4 papers)Breast Cancer Research and Treatment (3 papers)Nature Immunology (2 papers)Molecular Cancer Therapeutics (2 papers)F1000Research (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Devika Agarwal
34 papers receiving 1.8k citations
Devika Agarwal's Hit Papers
Peers
Comparison fields: 5 of 93
- Aging 54
- Neurology 166
- Cancer Research 245
- Developmental Neuroscience 58
- Cellular and Molecular Neuroscience 269
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly Hit paper breakdown → | 2022 | 448 |
| 2 | 2020 | 211 | |
| 3 | 2014 | 132 | |
| 4 | 2016 | 100 | |
| 5 | 2016 | 83 | |
| 6 | 2014 | 74 | |
| 7 | 2021 | 70 | |
| 8 | 2014 | 70 | |
| 9 | 2021 | 52 | |
| 10 | 2024 | 46 | |
| 11 | 2015 | 46 | |
| 12 | 2020 | 45 | |
| 13 | 2015 | 45 | |
| 14 | 2016 | 41 | |
| 15 | 2014 | 38 | |
| 16 | 2013 | 34 | |
| 17 | 2016 | 34 | |
| 18 | 2014 | 33 | |
| 19 | 2015 | 32 | |
| 20 | 2016 | 26 |
About Devika Agarwal
Devika Agarwal is a scholar working on Neurology, Molecular Biology, Cancer Research, Immunology and Oncology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (11 papers), Single-cell and spatial transcriptomics (8 papers), Cancer-related Molecular Pathways (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Aging (54 citations), Neurology (166 citations), Cancer Research (245 citations), Developmental Neuroscience (58 citations) and Cellular and Molecular Neuroscience (269 citations). Devika Agarwal has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Graham Ball, Ian Ogilvie Ellis, Andrew R. Green, Srinivasan Madhusudan, Emad A. Rakha, Stephen Y.T. Chan, Paul M. Moseley, Rory J. Bowden, Jimena Monzón‐Sandoval and Caleb Webber. Their work appears in journals such as Molecular Oncology, Breast Cancer Research and Treatment, Nature Immunology, Molecular Cancer Therapeutics and F1000Research.
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.