Chongyuan Luo

10.5k total citations · 4 hit papers
33 papers, 4.1k citations indexed

About

Chongyuan Luo is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Chongyuan Luo has authored 33 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Chongyuan Luo's work include Epigenetics and DNA Methylation (19 papers), Genomics and Chromatin Dynamics (18 papers) and Single-cell and spatial transcriptomics (11 papers). Chongyuan Luo is often cited by papers focused on Epigenetics and DNA Methylation (19 papers), Genomics and Chromatin Dynamics (18 papers) and Single-cell and spatial transcriptomics (11 papers). Chongyuan Luo collaborates with scholars based in United States, Australia and United Kingdom. Chongyuan Luo's co-authors include Joseph R. Ecker, Joseph R. Nery, Petra Hájková, Rosa Castanon, Eran A. Mukamel, Grant R. Cramer, Fritz J. Sedlazeck, Christopher Dunn, Michael C. Schatz and Rosa Figueroa‐Balderas and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Chongyuan Luo

32 papers receiving 4.0k citations

Hit Papers

Phased diploid genome assembly with single-molecule real-... 2015 2026 2018 2022 2016 2015 2018 2017 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
Chongyuan Luo United States 19 3.1k 913 732 324 232 33 4.1k
Tommy Kaplan Israel 29 3.6k 1.2× 638 0.7× 504 0.7× 213 0.7× 142 0.6× 56 4.3k
Andrew Bassett United Kingdom 35 3.6k 1.1× 1.1k 1.2× 733 1.0× 561 1.7× 441 1.9× 64 5.0k
Maximilian Haeussler United States 26 5.1k 1.6× 736 0.8× 1.2k 1.6× 569 1.8× 321 1.4× 45 6.3k
Liis Kolberg Estonia 7 2.8k 0.9× 435 0.5× 858 1.2× 664 2.0× 170 0.7× 9 4.9k
Andrew Olson United States 22 1.4k 0.4× 871 1.0× 283 0.4× 185 0.6× 211 0.9× 47 2.4k
Dena Leshkowitz Israel 30 2.1k 0.7× 551 0.6× 354 0.5× 617 1.9× 195 0.8× 64 3.5k
Ivan Kuzmin Estonia 6 2.4k 0.7× 379 0.4× 714 1.0× 532 1.6× 146 0.6× 9 4.1k
Uku Raudvere Estonia 4 2.2k 0.7× 378 0.4× 639 0.9× 515 1.6× 145 0.6× 4 3.9k
Elliott H. Margulies United States 32 3.8k 1.2× 686 0.8× 1.5k 2.0× 563 1.7× 247 1.1× 51 5.1k

Countries citing papers authored by Chongyuan Luo

Since Specialization
Citations

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

Fields of papers citing papers by Chongyuan Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chongyuan Luo. 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 Chongyuan Luo. The network helps show where Chongyuan Luo may publish in the future.

Co-authorship network of co-authors of Chongyuan Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Chongyuan Luo. A scholar is included among the top collaborators of Chongyuan Luo 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 Chongyuan Luo. Chongyuan Luo 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.
Zhou, Jiyun, Chongyuan Luo, Hanqing Liu, et al.. (2025). Deep learning imputes DNA methylation states in single cells and enhances the detection of epigenetic alterations in schizophrenia. Cell Genomics. 5(3). 100774–100774. 3 indexed citations
2.
Chien, Jo-fan, Hanqing Liu, Bang-An Wang, et al.. (2024). Cell-type-specific effects of age and sex on human cortical neurons. Neuron. 112(15). 2524–2539.e5. 15 indexed citations
3.
Flint, Jonathan, Zeyuan Chen, Joel Mefford, et al.. (2023). Single-cell methylation analysis of brain tissue prioritizes mutations that alter transcription. Cell Genomics. 3(12). 100454–100454. 3 indexed citations
4.
Li, Junhao, António Pinto‐Duarte, Mark Zander, et al.. (2022). Dnmt3a knockout in excitatory neurons impairs postnatal synapse maturation and increases the repressive histone modification H3K27me3. eLife. 11. 18 indexed citations
5.
Guo, Longhua, James Boocock, Evann E. Hilt, et al.. (2022). Genomic epidemiology of the Los Angeles COVID-19 outbreak and the early history of the B.1.43 strain in the USA. BMC Genomics. 23(1). 260–260.
6.
Gao, Chao, Jialin Liu, Sebastian Preißl, et al.. (2021). Iterative single-cell multi-omic integration using online learning. Nature Biotechnology. 39(8). 1000–1007. 57 indexed citations
7.
Lavery, Laura A., Kerstin Ure, Ying‐Wooi Wan, et al.. (2020). Losing Dnmt3a dependent methylation in inhibitory neurons impairs neural function by a mechanism impacting Rett syndrome. eLife. 9. 36 indexed citations
8.
He, Yupeng, Manoj Hariharan, David U. Gorkin, et al.. (2020). Spatiotemporal DNA methylome dynamics of the developing mouse fetus. Nature. 583(7818). 752–759. 78 indexed citations
9.
Luo, Chongyuan, Qian Yi Lee, Orly L. Wapinski, et al.. (2019). Global DNA methylation remodeling during direct reprogramming of fibroblasts to neurons. eLife. 8. 57 indexed citations
10.
Sabbagh, Mark F, Jacob S. Heng, Chongyuan Luo, et al.. (2018). Transcriptional and epigenomic landscapes of CNS and non-CNS vascular endothelial cells. eLife. 7. 165 indexed citations
11.
Luo, Chongyuan, Angeline Rivkin, Jingtian Zhou, et al.. (2018). Robust single-cell DNA methylome profiling with snmC-seq2. Nature Communications. 9(1). 3824–3824. 101 indexed citations
12.
Luo, Chongyuan, Petra Hájková, & Joseph R. Ecker. (2018). Dynamic DNA methylation: In the right place at the right time. Science. 361(6409). 1336–1340. 455 indexed citations breakdown →
13.
Luo, Chongyuan, Christopher L. Keown, Laurie Kurihara, et al.. (2017). Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex. Science. 357(6351). 600–604. 326 indexed citations breakdown →
14.
Chin, Chen-Shan, Paul Peluso, Fritz J. Sedlazeck, et al.. (2016). Phased diploid genome assembly with single-molecule real-time sequencing. Nature Methods. 13(12). 1050–1054. 1182 indexed citations breakdown →
15.
Mo, Alisa, Eran A. Mukamel, Fred P. Davis, et al.. (2015). Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain. Neuron. 86(6). 1369–1384. 475 indexed citations breakdown →
16.
Widiez, Thomas, Aikaterini Symeonidi, Chongyuan Luo, et al.. (2014). The chromatin landscape of the moss Physcomitrella patens and its dynamics during development and drought stress. The Plant Journal. 79(1). 67–81. 66 indexed citations
17.
Luo, Chongyuan, Juan Dong, Yi Zhang, & Eric Lam. (2014). Decoding the role of chromatin architecture in development: coming closer to the end of the tunnel. Frontiers in Plant Science. 5. 374–374. 3 indexed citations
18.
Lam, Eric, Chongyuan Luo, & Naohide Watanabe. (2009). Charting functional and physical properties of chromatin in living cells. Current Opinion in Genetics & Development. 19(2). 135–141. 5 indexed citations
19.
Luo, Chongyuan, Brittany G. Durgin, Naohide Watanabe, & Eric Lam. (2009). Defining the Functional Network of Epigenetic Regulators in Arabidopsis thaliana. Molecular Plant. 2(4). 661–674. 15 indexed citations
20.
Rotter, David, Arvind K. Bharti, Chongyuan Luo, et al.. (2007). Analysis of EST sequences suggests recent origin of allotetraploid colonial and creeping bentgrasses. Molecular Genetics and Genomics. 278(2). 197–209. 17 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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