Chun Zhong

15 papers receiving 3.2k citations

Hit Papers

Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain 2013 · 538 citations
53820112026201620212505007501000

Peers

Chun Zhong
Comparison fields: 5 of 103
  • Developmental Neuroscience 738
  • Biological Psychiatry 91
  • Molecular Biology 2.4k
  • Cellular and Molecular Neuroscience 637
  • Genetics 951
Replace Mi‐Hyeon Jang with:
Mi‐Hyeon Jang United States
Thomas M. Maynard United States
Jianwei Jiao China
Yasuji Kitabatake Japan
Francesco Bedogni Italy
Konstantin Radyushkin Germany
Motoko Maekawa Japan
Rebecca D. Hodge United States
Mercedes F. Paredes United States
Chun Zhong relative to Mi‐Hyeon Jang United States Mi‐Hyeon Jang's profile →
Citations per field
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Mi‐Hyeon Jang · 1×
Citations per year

Countries citing papers authored by Chun Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Chun Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chun Zhong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chun Zhong Line = papers co-authored together Chun Zhong links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20252
2 20251
3 20201
4 2017162
5 2017119
6 201537
7 2015141
8
Distribution, recognition and regulation of non-CpG methylation in the adult mammalian brain
Hit paper breakdown →
2013538
9 2013313
10 2013160
11 2013174
12 2012400
13
Hydroxylation of 5-Methylcytosine by TET1 Promotes Active DNA Demethylation in the Adult Brain
Hit paper breakdown →
20111037
14 2011185
15
Neurogenesis in the Adult Subventricular Zone
20072

About Chun Zhong

Chun Zhong is a scholar working on Developmental Neuroscience, Biological Psychiatry, Neurology, Cellular and Molecular Neuroscience and Virology, having authored 15 papers that have together received 3.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Genetics and Neurodevelopmental Disorders (5 papers), RNA modifications and cancer (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), HIV Research and Treatment (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Developmental Neuroscience (738 citations), Biological Psychiatry (91 citations), Molecular Biology (2.4k citations), Cellular and Molecular Neuroscience (637 citations) and Genetics (951 citations). Chun Zhong has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Hongjun Song, Guo‐li Ming, Yijing Su, Junjie U. Guo, Jaehoon Shin, Kimberly M. Christian, Juan Song, Derek Y. Hsu, Gerald J. Sun and J. David Sweatt. Their work appears in journals such as Nature Neuroscience, Neuron, Journal of Agricultural and Food Chemistry, Cell Cycle and Frontiers in Cell and Developmental Biology.

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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2026