Chunyuan Jin

2.4k citations
35 papers · 1.8k indexed · 1 hit paper · h-index 17
Topics
Genomics and Chromatin Dynamics (17 papers)Epigenetics and DNA Methylation (10 papers)RNA Research and Splicing (9 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Chunyuan Jin

32 papers receiving 1.8k citations

Hit Papers

H3.3/H2A.Z double variant–containing nucleosomes mark 'nu...20092026201420202009100200300400500

Peers

Chunyuan Jin
Comparison fields: 5 of 96
  • Molecular Biology 1.6k
  • Plant Science 230
  • Genetics 177
  • Cancer Research 131
  • Immunology 106
Replace Mitsuaki Yanagida with:
Mitsuaki Yanagida Japan
Yin‐Ming Kuo United States
Lisa K. Kreppel United States
Tatiana Gladysheva United States
Ed Luk United States
Mi-Young Lee South Korea
Steven T. Okino United States
Sheroy Minocherhomji United States
Barry R. Imhoff United States
Yanli Ji China
Chunyuan Jin relative to Mitsuaki Yanagida Japan Mitsuaki Yanagida's profile →
Citations per field
00.5×2.5×
Mitsuaki Yanagida · 1×
Citations per year

Countries citing papers authored by Chunyuan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chunyuan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyuan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyuan Jin. A scholar is included among the top collaborators of Chunyuan Jin 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 Chunyuan Jin. Chunyuan Jin 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
#WorkIndexed citations
1 0
2 7
3 10
4 2
5 7
6 19
7 23
8 13
9 33
10 32
11 6
12 28
13
H3.3/H2A.Z double variant–containing nucleosomes mark 'nucleosome-free regions' of active promoters and other regulatory regionsbreakdown →
587
14 409
15 64
16 77
17 5
18 71
19 5
20 50

About Chunyuan Jin

Chunyuan Jin is a scholar working on Molecular Biology, Biological Psychiatry and Pharmacy, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), Epigenetics and DNA Methylation (10 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Aging (19 citations) and Cancer Research (131 citations). Chunyuan Jin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Gary Felsenfeld, Chongzhi Zang, Keji Zhao, Weiqun Peng, Gang Wei, Kairong Cui, Danqi Chen, Kazunari K. Yokoyama, Lei Fang and Kai Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

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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