Daniel V. Brown
Impact in
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 7
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- Single-cell and spatial transcriptomics 4
- PI3K/AKT/mTOR signaling in cancer 3
- Melanoma and MAPK Pathways 2
- Genomics and Chromatin Dynamics 1
- Co-authors
- Theo Mantamadiotis (6 shared papers)Paul M Daniel (4 shared papers)Andrew P. Morokoff (3 shared papers)Wayne Ng (2 shared papers)Gulay Filiz (3 shared papers)Giovanna M. D’Abaco (2 shared papers)Frédéric Hollande (2 shared papers)Grant A. McArthur (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Oncotarget (2 papers)Neuro-Oncology Advances (1 paper)Molecular Cancer Therapeutics (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaBelgiumUnited Kingdom
In The Last Decade
Daniel V. Brown
20 papers receiving 2.6k citations
Daniel V. Brown's Hit Papers
Peers
Comparison fields: 5 of 109
- Oncology 1.1k
- Genetics 228
- Cancer Research 284
- Molecular Biology 985
- Cell Biology 118
Countries citing papers authored by Daniel V. Brown
This map shows the geographic impact of Daniel V. Brown'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 Daniel V. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel V. Brown more than expected).
Fields of papers citing papers by Daniel V. Brown
This network shows the impact of papers produced by Daniel V. Brown. 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 Daniel V. Brown. The network helps show where Daniel V. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel V. Brown, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of the tumour transition states occurring during EMT Hit paper breakdown → | 2018 | 1170 |
| 2 | Toward Minimal Residual Disease-Directed Therapy in Melanoma Hit paper breakdown → | 2018 | 542 |
| 3 | 2018 | 120 | |
| 4 | 2017 | 119 | |
| 5 | 2014 | 89 | |
| 6 | 2015 | 84 | |
| 7 | 2010 | 83 | |
| 8 | 2011 | 71 | |
| 9 | 2023 | 68 | |
| 10 | 2021 | 46 | |
| 11 | 2016 | 36 | |
| 12 | 2019 | 35 | |
| 13 | 2018 | 31 | |
| 14 | 2021 | 29 | |
| 15 | 2018 | 26 | |
| 16 | 2022 | 17 | |
| 17 | 2019 | 12 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Daniel V. Brown
Daniel V. Brown is a scholar working on Genetics, Molecular Biology, Immunology, Oncology and Health Informatics, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Single-cell and spatial transcriptomics (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Cells and Metastasis (3 papers), T-cell and B-cell Immunology (2 papers), Melanoma and MAPK Pathways (2 papers), Artificial Intelligence in Healthcare and Education (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Oncology (1.1k citations), Genetics (228 citations), Cancer Research (284 citations), Molecular Biology (985 citations) and Cell Biology (118 citations). Daniel V. Brown has collaborated with scholars based in Australia, Belgium and United Kingdom. Frequent co-authors include Theo Mantamadiotis, Paul M Daniel, Andrew P. Morokoff, Wayne Ng, Gulay Filiz, Giovanna M. D’Abaco, Frédéric Hollande, Grant A. McArthur, Andrew Gogos and Sebastian Dworkin. Their work appears in journals such as Nucleic Acids Research, Oncotarget, Neuro-Oncology Advances, Molecular Cancer Therapeutics 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.