Daniel Vo
Impact in
Papers in
-
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 1
- Genetics 4
- Genetic Associations and Epidemiology 3
- Genetics and Neurodevelopmental Disorders 1
- Co-authors
- Minsoo Kim (3 shared papers)Michael J. Gandal (3 shared papers)Connor T. Jops (3 shared papers)Bogdan Paşaniuc (2 shared papers)Cindy H. Wen (1 shared paper)Arjun Bhattacharya (1 shared paper)Ashok Patowary (1 shared paper)Celine K. Vuong (1 shared paper)
- Journals
- Science (6 papers)Science Translational Medicine (1 paper)Science Advances (1 paper)Nature Genetics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Daniel Vo
10 papers receiving 374 citations
Daniel Vo's Hit Papers
Peers
Comparison fields: 5 of 37
- Biological Psychiatry 8
- Developmental Neuroscience 15
- Psychiatry and Mental health 80
- Genetics 106
- Molecular Biology 212
Countries citing papers authored by Daniel Vo
This map shows the geographic impact of Daniel Vo'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 Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vo more than expected).
Fields of papers citing papers by Daniel Vo
This network shows the impact of papers produced by Daniel Vo. 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 Vo. The network helps show where Daniel Vo may publish in the future.
Co-authors
The 17 scholars most cited alongside Daniel Vo, 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 | Single-cell multi-cohort dissection of the schizophrenia transcriptome Hit paper breakdown → | 2024 | 73 |
| 2 | 2024 | 68 | |
| 3 | 2024 | 49 | |
| 4 | 2024 | 47 | |
| 5 | 2024 | 40 | |
| 6 | 2023 | 33 | |
| 7 | 2024 | 22 | |
| 8 | 2024 | 22 | |
| 9 | 2024 | 16 | |
| 10 | 2022 | 4 |
About Daniel Vo
Daniel Vo is a scholar working on Molecular Biology, Genetics, Psychiatry and Mental health, Computer Vision and Pattern Recognition and Physiology, having authored 10 papers that have together received 374 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Genetic Associations and Epidemiology (3 papers), Schizophrenia research and treatment (2 papers), RNA Research and Splicing (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Epigenetics and DNA Methylation (1 paper), Data Visualization and Analytics (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Biological Psychiatry (8 citations), Developmental Neuroscience (15 citations), Psychiatry and Mental health (80 citations), Genetics (106 citations) and Molecular Biology (212 citations). Daniel Vo has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Minsoo Kim, Michael J. Gandal, Connor T. Jops, Bogdan Paşaniuc, Cindy H. Wen, Arjun Bhattacharya, Ashok Patowary, Celine K. Vuong, Michael P. Margolis and Xinzhou Ge. Their work appears in journals such as Science, Science Translational Medicine, Science Advances, Nature Genetics and Bioinformatics.
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.