Beijing Wu
Impact in
- Aging top 2%
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 3
- Gene Regulatory Network Analysis 2
- CRISPR and Genetic Engineering 2
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- William J. Greenleaf (8 shared papers)Jason D. Buenrostro (6 shared papers)Howard Y. Chang (6 shared papers)Alicia N. Schep (2 shared papers)M Snyder (3 shared papers)Ulrike Litzenburger (2 shared papers)Michael L. Gonzales (1 shared paper)M. Ryan Corces (2 shared papers)
- Journals
- Nature (2 papers)Cell (2 papers)Nature Genetics (2 papers)Biophysical Journal (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Beijing Wu
12 papers receiving 6.1k citations
Beijing Wu's Hit Papers
Peers
Comparison fields: 5 of 130
- Aging 134
- Cancer Research 961
- Molecular Biology 4.7k
- Biophysics 304
- Immunology 1.1k
Countries citing papers authored by Beijing Wu
This map shows the geographic impact of Beijing Wu'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 Beijing Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beijing Wu more than expected).
Fields of papers citing papers by Beijing Wu
This network shows the impact of papers produced by Beijing Wu. 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 Beijing Wu. The network helps show where Beijing Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Beijing Wu, 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 | ATAC‐seq: A Method for Assaying Chromatin Accessibility Genome‐Wide Hit paper breakdown → | 2015 | 2042 |
| 2 | Single-cell chromatin accessibility reveals principles of regulatory variation Hit paper breakdown → | 2015 | 1505 |
| 3 | chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data Hit paper breakdown → | 2017 | 821 |
| 4 | Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution Hit paper breakdown → | 2016 | 671 |
| 5 | Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation Hit paper breakdown → | 2018 | 413 |
| 6 | 2018 | 222 | |
| 7 | 2019 | 155 | |
| 8 | 2017 | 89 | |
| 9 | 2014 | 82 | |
| 10 | 2011 | 79 | |
| 11 | 2013 | 36 | |
| 12 | BioSimGRID: Application to analysis of membrane protein simulations | 2005 | 1 |
| 13 | 2025 | 0 |
About Beijing Wu
Beijing Wu is a scholar working on Molecular Biology, Aging, Immunology, Cancer Research and Endocrine and Autonomic Systems, having authored 13 papers that have together received 6.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), T-cell and B-cell Immunology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Gene Regulatory Network Analysis (2 papers), CRISPR and Genetic Engineering (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Aging (134 citations), Cancer Research (961 citations), Molecular Biology (4.7k citations), Biophysics (304 citations) and Immunology (1.1k citations). Beijing Wu has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include William J. Greenleaf, Jason D. Buenrostro, Howard Y. Chang, Alicia N. Schep, M Snyder, Ulrike Litzenburger, Michael L. Gonzales, M. Ryan Corces, Ravindra Majeti and Jonathan K. Pritchard. Their work appears in journals such as Nature, Cell, Nature Genetics, Biophysical Journal and Nature Methods.
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.