Chan Gu

1.6k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Chan Gu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Chan Gu has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 3 papers in Genetics. Recurrent topics in Chan Gu's work include Epigenetics and DNA Methylation (8 papers), DNA and Nucleic Acid Chemistry (5 papers) and Genomics and Chromatin Dynamics (4 papers). Chan Gu is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), DNA and Nucleic Acid Chemistry (5 papers) and Genomics and Chromatin Dynamics (4 papers). Chan Gu collaborates with scholars based in China, United States and Denmark. Chan Gu's co-authors include Fan Guo, Yi Qin Gao, Rui Yan, Lijiang Yang, Yajing Liu, Wei Yu, Haibo Zhou, Yixue Li, Rong Zeng and Xiao‐Dong Su and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Chan Gu

19 papers receiving 1.1k citations

Hit Papers

Off-target RNA mutation induced by DNA base editing and i... 2019 2026 2021 2023 2019 100 200 300
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.

  1. Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis
    2019 343 citations Changyang Zhou, Yidi Sun et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan Gu China 13 934 209 107 57 55 19 1.1k
Leifu Chang United Kingdom 19 1.5k 1.6× 99 0.5× 42 0.4× 43 0.8× 36 0.7× 31 1.7k
Soichiro Kakuta Japan 19 622 0.7× 74 0.4× 86 0.8× 49 0.9× 74 1.3× 55 1.5k
Didier Portran France 10 1.0k 1.1× 291 1.4× 58 0.5× 37 0.6× 40 0.7× 13 1.5k
Barak Markus Israel 16 672 0.7× 339 1.6× 33 0.3× 81 1.4× 32 0.6× 25 1.1k
B.S. Shastry United States 14 1.4k 1.5× 418 2.0× 95 0.9× 62 1.1× 72 1.3× 32 1.9k
Jyoti Srivastava India 14 598 0.6× 152 0.7× 70 0.7× 70 1.2× 40 0.7× 39 963
Michael S. Cosgrove United States 22 1.9k 2.1× 146 0.7× 37 0.3× 66 1.2× 74 1.3× 36 2.2k
Vincent Galy France 20 2.6k 2.7× 147 0.7× 78 0.7× 27 0.5× 40 0.7× 28 2.9k
John D. Watson Canada 17 853 0.9× 349 1.7× 57 0.5× 152 2.7× 64 1.2× 36 1.5k
Jana Krejčí Czechia 17 736 0.8× 92 0.4× 37 0.3× 56 1.0× 36 0.7× 35 946

Countries citing papers authored by Chan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Chan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan Gu

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

All Works

19 of 19 papers shown
1.
Zhang, Xiaojie, Rui Yan, Juan Gao, et al.. (2024). Auto-suppression of Tet dioxygenases protects the mouse oocyte genome from oxidative demethylation. Nature Structural & Molecular Biology. 31(1). 42–53. 7 indexed citations
2.
Yan, Rui, Xin Cheng, Chan Gu, et al.. (2022). Dynamics of DNA hydroxymethylation and methylation during mouse embryonic and germline development. Nature Genetics. 55(1). 130–143. 65 indexed citations
3.
Yang, Zhenghao, Chan Gu, Guokai Chen, et al.. (2022). Chemical Pretreatment Activated a Plastic State Amenable to Direct Lineage Reprogramming. Frontiers in Cell and Developmental Biology. 10. 6 indexed citations
4.
Yan, Rui, Chan Gu, Di You, et al.. (2021). Decoding dynamic epigenetic landscapes in human oocytes using single-cell multi-omics sequencing. Cell stem cell. 28(9). 1641–1656.e7. 82 indexed citations
5.
Long, Xin, Qiuyun Yang, Jingjing Qian, et al.. (2021). Obesity modulates cell-cell interactions during ovarian folliculogenesis. iScience. 25(1). 103627–103627. 15 indexed citations
6.
Yang, Zhenghao, Chan Gu, Qihong Wu, et al.. (2020). Chemicals orchestrate reprogramming with hierarchical activation of master transcription factors primed by endogenous Sox17 activation. Communications Biology. 3(1). 629–629. 8 indexed citations
7.
Shen, Hao, Chan Gu, Liang Tao, et al.. (2020). Unveiling the heterogeneity of NKT cells in the liver through single cell RNA sequencing. Scientific Reports. 10(1). 19453–19453. 13 indexed citations
8.
9.
Zhou, Changyang, Yidi Sun, Rui Yan, et al.. (2019). Off-target RNA mutation induced by DNA base editing and its elimination by mutagenesis. Nature. 571(7764). 275–278. 343 indexed citations breakdown →
10.
Chen, Xufeng, Chan Gu, Yu Cui, et al.. (2018). Med23 serves as a gatekeeper of the myeloid potential of hematopoietic stem cells. Nature Communications. 9(1). 3746–3746. 7 indexed citations
11.
Gu, Chan, Shanling Liu, Qihong Wu, Lin Zhang, & Fan Guo. (2018). Integrative single-cell analysis of transcriptome, DNA methylome and chromatin accessibility in mouse oocytes. Cell Research. 29(2). 110–123. 118 indexed citations
12.
Zhang, Ling, Wen Jun Xie, Sirui Liu, et al.. (2017). DNA Methylation Landscape Reflects the Spatial Organization of Chromatin in Different Cells. Biophysical Journal. 113(7). 1395–1404. 26 indexed citations
13.
Zhang, Ling, Chan Gu, Lijiang Yang, Fuchou Tang, & Yi Qin Gao. (2017). The sequence preference of DNA methylation variation in mammalians. PLoS ONE. 12(10). e0186559–e0186559. 4 indexed citations
14.
Jin, Jianshi, Tengfei Lian, Chan Gu, et al.. (2016). The effects of cytosine methylation on general transcription factors. Scientific Reports. 6(1). 29119–29119. 41 indexed citations
15.
Gu, Chan, Jun Zhang, Yi Yang, et al.. (2015). DNA Structural Correlation in Short and Long Ranges. The Journal of Physical Chemistry B. 119(44). 13980–13990. 14 indexed citations
16.
Mashaghi, Alireza, et al.. (2014). Trehalose facilitates DNA melting: a single-molecule optical tweezers study. Soft Matter. 10(37). 7269–7269. 18 indexed citations
17.
Yin, Yandong, Lijiang Yang, Guanqun Zheng, et al.. (2014). Dynamics of spontaneous flipping of a mismatched base in DNA duplex. Proceedings of the National Academy of Sciences. 111(22). 8043–8048. 79 indexed citations
18.
Kim, Sang‐Jin, Erik Broströmer, Dong Xing, et al.. (2013). Probing Allostery Through DNA. Science. 339(6121). 816–819. 234 indexed citations
19.
Xu, Xinliang, Hao Ge, Chan Gu, et al.. (2013). Modeling Spatial Correlation of DNA Deformation: DNA Allostery in Protein Binding. The Journal of Physical Chemistry B. 117(42). 13378–13387. 13 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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