Guo‐Cheng Yuan

29.0k total citations · 11 hit papers
145 papers, 15.2k citations indexed

About

Guo‐Cheng Yuan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Guo‐Cheng Yuan has authored 145 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 17 papers in Immunology and 17 papers in Cancer Research. Recurrent topics in Guo‐Cheng Yuan's work include Genomics and Chromatin Dynamics (50 papers), Single-cell and spatial transcriptomics (40 papers) and Epigenetics and DNA Methylation (30 papers). Guo‐Cheng Yuan is often cited by papers focused on Genomics and Chromatin Dynamics (50 papers), Single-cell and spatial transcriptomics (40 papers) and Epigenetics and DNA Methylation (30 papers). Guo‐Cheng Yuan collaborates with scholars based in United States, China and Japan. Guo‐Cheng Yuan's co-authors include Stuart H. Orkin, Luca Pinello, Qian Zhu, Ruben Dries, Guoji Guo, Long Cai, Yuko Fujiwara, Zhen Shao, Rui Dong and Assieh Saadatpour and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Guo‐Cheng Yuan

141 papers receiving 15.0k citations

Hit Papers

Transcriptome-scale super-r... 2005 2026 2012 2019 2019 2005 2008 2015 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo‐Cheng Yuan United States 58 11.9k 2.2k 2.1k 2.0k 1.5k 145 15.2k
Michael Boutros Germany 67 14.1k 1.2× 2.6k 1.2× 2.0k 1.0× 2.4k 1.2× 1.8k 1.2× 219 19.0k
David A. Guertin United States 39 14.8k 1.2× 2.2k 1.0× 2.1k 1.0× 2.2k 1.1× 938 0.6× 63 21.2k
Jason Moffat Canada 56 11.9k 1.0× 1.5k 0.7× 2.2k 1.0× 1.4k 0.7× 1.3k 0.9× 168 16.3k
Jason D. Buenrostro United States 39 11.4k 1.0× 2.3k 1.1× 1.1k 0.5× 2.4k 1.2× 1.5k 1.0× 67 14.2k
Allon M. Klein United States 48 10.9k 0.9× 3.6k 1.6× 3.1k 1.4× 2.5k 1.3× 1.4k 0.9× 75 17.2k
Norma Neff United States 48 9.1k 0.8× 1.6k 0.7× 1.3k 0.6× 1.9k 0.9× 1.5k 1.0× 92 13.4k
Stein Aerts Belgium 45 8.3k 0.7× 2.3k 1.1× 1.9k 0.9× 2.0k 1.0× 964 0.6× 101 11.7k
Christoph Hafemeister United States 12 8.4k 0.7× 3.9k 1.8× 1.7k 0.8× 1.8k 0.9× 795 0.5× 19 12.7k
Orit Rozenblatt–Rosen United States 41 6.7k 0.6× 2.5k 1.2× 3.1k 1.5× 1.9k 0.9× 739 0.5× 61 11.1k
Tom Misteli United States 86 23.5k 2.0× 2.5k 1.2× 1.6k 0.7× 1.9k 0.9× 2.5k 1.7× 196 28.5k

Countries citing papers authored by Guo‐Cheng Yuan

Since Specialization
Citations

This map shows the geographic impact of Guo‐Cheng Yuan'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 Guo‐Cheng Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Cheng Yuan more than expected).

Fields of papers citing papers by Guo‐Cheng Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Cheng Yuan. 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 Guo‐Cheng Yuan. The network helps show where Guo‐Cheng Yuan may publish in the future.

Co-authorship network of co-authors of Guo‐Cheng Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Cheng Yuan. A scholar is included among the top collaborators of Guo‐Cheng Yuan 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 Guo‐Cheng Yuan. Guo‐Cheng Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chen, Jiaji G., Matthew O’Brien, Edward C. Ruiz, et al.. (2025). Giotto Suite: a multiscale and technology-agnostic spatial multiomics analysis ecosystem. Nature Methods. 22(10). 2052–2064.
3.
Polonsky, Michal, Louisa M.S. Gerhardt, Jina Yun, et al.. (2024). Spatial transcriptomics defines injury specific microenvironments and cellular interactions in kidney regeneration and disease. Nature Communications. 15(1). 7010–7010. 25 indexed citations
4.
Zhu, Qian, Kai Yan, Hye Young Ji, et al.. (2024). Matrin3 mediates differentiation through stabilizing chromatin loop-domain interactions and YY1 mediated enhancer-promoter interactions. Nature Communications. 15(1). 1274–1274. 10 indexed citations
5.
Cartwright, Adam N.R., Shengbao Suo, S Badrinath, et al.. (2021). Immunosuppressive Myeloid Cells Induce Nitric Oxide–Dependent DNA Damage and p53 Pathway Activation in CD8+ T Cells. Cancer Immunology Research. 9(4). 470–485. 34 indexed citations
6.
Takei, Yodai, Shiwei Zheng, Jina Yun, et al.. (2021). Single-cell nuclear architecture across cell types in the mouse brain. Science. 374(6567). 586–594. 80 indexed citations
7.
VanDusen, Nathan J., Isha Sethi, Yanjiang Zheng, et al.. (2021). Massively parallel in vivo CRISPR screening identifies RNF20/40 as epigenetic regulators of cardiomyocyte maturation. Nature Communications. 12(1). 4442–4442. 45 indexed citations
8.
Liu, Nan, Shuqian Xu, Qiuming Yao, et al.. (2021). Transcription factor competition at the γ-globin promoters controls hemoglobin switching. Nature Genetics. 53(4). 511–520. 57 indexed citations
9.
Ji, Hye Young, Kai Yan, Qian Zhu, et al.. (2021). Inner nuclear protein Matrin-3 coordinates cell differentiation by stabilizing chromatin architecture. Nature Communications. 12(1). 6241–6241. 26 indexed citations
10.
Liu, Nan, Shuqian Xu, Qiuming Yao, et al.. (2021). Author Correction: Transcription factor competition at the γ-globin promoters controls hemoglobin switching. Nature Genetics. 53(4). 586–586. 2 indexed citations
11.
Sethi, Isha, Zhenying Cai, Thomas M. Roberts, & Guo‐Cheng Yuan. (2019). Molecular Profiling Establishes Genetic Features Predictive of the Efficacy of the p110β Inhibitor KIN-193. Cancer Research. 79(17). 4524–4531. 6 indexed citations
12.
Zhu, Qian, Nan Liu, Stuart H. Orkin, & Guo‐Cheng Yuan. (2019). CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis. Genome biology. 20(1). 77 indexed citations
13.
Pinello, Luca, Rick Farouni, & Guo‐Cheng Yuan. (2018). Haystack: systematic analysis of the variation of epigenetic states and cell-type specific regulatory elements. Bioinformatics. 34(11). 1930–1933. 12 indexed citations
14.
Andrade, Lucas Ferrari de, Rong En Tay, Deng Pan, et al.. (2018). Antibody-mediated inhibition of MICA and MICB shedding promotes NK cell–driven tumor immunity. Science. 359(6383). 1537–1542. 337 indexed citations
15.
Pan, Deng, Aya Kobayashi, Peng Jiang, et al.. (2018). A major chromatin regulator determines resistance of tumor cells to T cell–mediated killing. Science. 359(6377). 770–775. 567 indexed citations breakdown →
16.
Canver, Matthew C., Elenoe C. Smith, Falak Sher, et al.. (2015). BCL11A enhancer dissection by Cas9-mediated in situ saturating mutagenesis. RePEc: Research Papers in Economics. 2 indexed citations
17.
Glass, Kimberly, John Quackenbush, Edwin K. Silverman, et al.. (2014). Sexually-dimorphic targeting of functionally-related genes in COPD. BMC Systems Biology. 8(1). 118–118. 36 indexed citations
18.
Chipumuro, Edmond, Eugenio Marco, Camilla L. Christensen, et al.. (2014). CDK7 Inhibition Suppresses Super-Enhancer-Linked Oncogenic Transcription in MYCN-Driven Cancer. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
19.
Ku, Wai Lim, Michelle Girvan, Guo‐Cheng Yuan, Francesco Sorrentino, & Edward Ott. (2013). Modeling the Dynamics of Bivalent Histone Modifications. PLoS ONE. 8(11). e77944–e77944. 10 indexed citations
20.
Yuan, Guo‐Cheng, Yuen-Jong Liu, Michael F. Dion, et al.. (2005). Genome-Scale Identification of Nucleosome Positions in S. cerevisiae. Science. 309(5734). 626–630. 892 indexed citations breakdown →

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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