Beijing Wu

14.8k total citations · 5 hit papers
10 papers, 5.8k citations indexed

About

Beijing Wu is a scholar working on Molecular Biology, Cancer Research and Aging. According to data from OpenAlex, Beijing Wu has authored 10 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Aging. Recurrent topics in Beijing Wu's work include Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Chromatin Dynamics (3 papers). Beijing Wu is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (3 papers) and Genomics and Chromatin Dynamics (3 papers). Beijing Wu collaborates with scholars based in United States, Sweden and Canada. Beijing Wu's co-authors include William J. Greenleaf, Jason D. Buenrostro, Howard Y. Chang, M Snyder, Alicia N. Schep, Ulrike Litzenburger, Michael L. Gonzales, Ravindra Majeti, M. Ryan Corces and Jonathan K. Pritchard and has published in prestigious journals such as Nature, Cell and Nature Genetics.

In The Last Decade

Beijing Wu

10 papers receiving 5.8k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ATAC‐seq: A Method for Assaying Chromatin Accessibility Genome‐Wide

2015 2.0k citations Jason D. Buenrostro, Beijing Wu et al. Current Protocols in Molecular Biology profile →
Single-cell chromatin accessibility reveals principles of regulatory variation

2015 1.5k citations Jason D. Buenrostro, Beijing Wu et al. Nature profile →
chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

2017 770 citations Alicia N. Schep, Beijing Wu et al. Nature Methods profile →
Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution

2016 656 citations M. Ryan Corces, Jason D. Buenrostro et al. Nature Genetics profile →
Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation

2018 397 citations Jason D. Buenrostro, M. Ryan Corces et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Beijing Wu United States	10	4.8k	1.1k	1.0k	583	478	10	5.8k
Caleb A. Lareau United States	34	5.3k 1.1×	1.2k 1.1×	1.1k 1.1×	800 1.4×	650 1.4×	71	6.5k
Omid R. Faridani Sweden	15	5.2k 1.1×	1.4k 1.3×	1.6k 1.6×	451 0.8×	721 1.5×	21	6.7k
Aaron T. L. Lun Australia	31	4.7k 1.0×	1.4k 1.3×	1.1k 1.0×	457 0.8×	514 1.1×	44	6.3k
Andrew J. Hill United States	11	4.7k 1.0×	1.2k 1.1×	1.7k 1.6×	541 0.9×	827 1.7×	13	6.3k
Hannah A. Pliner United States	13	5.1k 1.1×	1.3k 1.2×	1.2k 1.2×	377 0.6×	671 1.4×	14	6.3k
Simone Picelli Sweden	17	4.6k 1.0×	1.5k 1.4×	1.2k 1.2×	747 1.3×	619 1.3×	27	6.8k
Gert Hulselmans Belgium	22	4.4k 0.9×	1.7k 1.5×	1.0k 1.0×	345 0.6×	1.0k 2.2×	30	6.3k
Lena Christiansen United States	10	4.1k 0.9×	894 0.8×	930 0.9×	345 0.6×	440 0.9×	13	5.0k
Shuqiang Li United States	21	4.4k 0.9×	1.5k 1.3×	1.4k 1.4×	264 0.5×	852 1.8×	44	6.1k
Daniel Ramsköld Sweden	20	3.5k 0.7×	688 0.6×	1.1k 1.0×	479 0.8×	423 0.9×	32	4.5k

Countries citing papers authored by Beijing Wu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beijing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Beijing Wu. A scholar is included among the top collaborators of Beijing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beijing Wu. Beijing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Calderon, Diego, Michelle Nguyen, Anja Mezger, et al.. (2019). Landscape of stimulation-responsive chromatin across diverse human immune cells. Nature Genetics. 51(10). 1494–1505. 152 indexed citations

Buenrostro, Jason D., M. Ryan Corces, Caleb A. Lareau, et al.. (2018). Integrated Single-Cell Analysis Maps the Continuous Regulatory Landscape of Human Hematopoietic Differentiation. Cell. 173(6). 1535–1548.e16. 397 indexed citations breakdown →

Rubin, Adam J., Kevin R. Parker, Ansuman T. Satpathy, et al.. (2018). Coupled Single-Cell CRISPR Screening and Epigenomic Profiling Reveals Causal Gene Regulatory Networks. Cell. 176(1-2). 361–376.e17. 213 indexed citations

Schep, Alicia N., Beijing Wu, Jason D. Buenrostro, & William J. Greenleaf. (2017). chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data. Nature Methods. 14(10). 975–978. 770 indexed citations breakdown →

Litzenburger, Ulrike, Jason D. Buenrostro, Beijing Wu, et al.. (2017). Single-cell epigenomic variability reveals functional cancer heterogeneity. Genome biology. 18(1). 15–15. 88 indexed citations

Corces, M. Ryan, Jason D. Buenrostro, Beijing Wu, et al.. (2016). Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nature Genetics. 48(10). 1193–1203. 656 indexed citations breakdown →

Buenrostro, Jason D., Beijing Wu, Ulrike Litzenburger, et al.. (2015). Single-cell chromatin accessibility reveals principles of regulatory variation. Nature. 523(7561). 486–490. 1460 indexed citations breakdown →

Buenrostro, Jason D., Beijing Wu, Howard Y. Chang, & William J. Greenleaf. (2015). ATAC‐seq: A Method for Assaying Chromatin Accessibility Genome‐Wide. Current Protocols in Molecular Biology. 109(1). 21.29.1–21.29.9. 1978 indexed citations breakdown →

Araya, Carlos L., Trupti Kawli, Anshul Kundaje, et al.. (2014). Regulatory analysis of the C. elegans genome with spatiotemporal resolution. Nature. 512(7515). 400–405. 82 indexed citations

10.

Nostrand, Eric L. Van, Adolfo Sánchez-Blanco, Beijing Wu, Andy Nguyễn, & Stuart K. Kim. (2013). Roles of the Developmental Regulator unc-62/Homothorax in Limiting Longevity in Caenorhabditis elegans. PLoS Genetics. 9(2). e1003325–e1003325. 36 indexed citations

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.

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