Derek Gao
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
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- Single-cell and spatial transcriptomics 3
- Congenital heart defects research 1
- Advanced biosensing and bioanalysis techniques 1
- RNA Research and Splicing 1
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- Image Processing and 3D Reconstruction 1
- Co-authors
- Kun Zhang (4 shared papers)Blue B. Lake (3 shared papers)Yun C. Yung (2 shared papers)Peter V. Kharchenko (2 shared papers)Jerold Chun (2 shared papers)Brandon C. Sos (2 shared papers)Jean Fan (1 shared paper)Gwendolyn E. Kaeser (1 shared paper)
- Journals
- Genome biology (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)Nature Biotechnology (1 paper)Powder Technology (1 paper)
- Partner nations
- United StatesThailandSweden
In The Last Decade
Derek Gao
5 papers receiving 942 citations
Derek Gao's Hit Papers
Peers
Comparison fields: 5 of 74
- Neurology 162
- Biological Psychiatry 37
- Developmental Neuroscience 46
- Molecular Biology 755
- Cancer Research 155
Countries citing papers authored by Derek Gao
This map shows the geographic impact of Derek Gao'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 Derek Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Gao more than expected).
Fields of papers citing papers by Derek Gao
This network shows the impact of papers produced by Derek Gao. 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 Derek Gao. The network helps show where Derek Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Derek Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain Hit paper breakdown → | 2017 | 569 |
| 2 | 2017 | 173 | |
| 3 | 2019 | 164 | |
| 4 | 2016 | 40 | |
| 5 | 2011 | 1 |
About Derek Gao
Derek Gao is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Neurology, Plant Science and Cancer Research, having authored 5 papers that have together received 947 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), RNA Research and Splicing (1 paper), Cancer-related molecular mechanisms research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Image Processing and 3D Reconstruction (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Neurology (162 citations), Biological Psychiatry (37 citations), Developmental Neuroscience (46 citations), Molecular Biology (755 citations) and Cancer Research (155 citations). Derek Gao has collaborated with scholars based in United States, Thailand and Sweden. Frequent co-authors include Kun Zhang, Blue B. Lake, Yun C. Yung, Peter V. Kharchenko, Jerold Chun, Brandon C. Sos, Jean Fan, Gwendolyn E. Kaeser, Song Chen and Thu Elizabeth Duong. Their work appears in journals such as Genome biology, Scientific Reports, Nature Communications, Nature Biotechnology and Powder Technology.
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.