Jin Sun

1.4k citations
14 papers · 1.0k indexed · h-index 12

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Insect symbiosis and bacterial influences

Papers in

    • CRISPR and Genetic Engineering 4
    • Genomics and Chromatin Dynamics 4
    • RNA Interference and Gene Delivery 3
    • DNA and Nucleic Acid Chemistry 2
    • Histone Deacetylase Inhibitors Research 2
    • Epigenetics and DNA Methylation 2

Jin Sun

14 papers receiving 1.0k citations

Peers

Jin Sun
Comparison fields: 5 of 89
  • Aging 123
  • Insect Science 170
  • Business and International Management 23
  • Molecular Biology 698
  • Genetics 223
Replace Zhihao Yang with:
Zhihao Yang China
Decai Mao China
Renjie Jiao China
Zhanxiang Wang China
Hélène Eckert United States
Te‐Wen Lo United States
Klaus Förstemann Germany
Becky Xu Hua Fu United States
Yonatan B. Tzur Israel
Jin Sun relative to Zhihao Yang China Zhihao Yang's profile →
Citations per field
00.5×1.5×1.8×
Zhihao Yang · 1×
Citations per year

Countries citing papers authored by Jin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Sun, 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 Jin Sun Line = papers co-authored together Jin Sun links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202112
2 20196
3 201844
4 201856
5 2017119
6 201529
7 201590
8 201518
9 2014229
10 201446
11 201435
12 2013291
13 200525
14 20049

About Jin Sun

Jin Sun is a scholar working on Aging, Molecular Biology, Immunology, Plant Science and Genetics, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (3 papers), RNA Interference and Gene Delivery (3 papers), Invertebrate Immune Response Mechanisms (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (123 citations), Insect Science (170 citations), Business and International Management (23 citations), Molecular Biology (698 citations) and Genetics (223 citations). Jin Sun has collaborated with scholars based in China, United States and India. Frequent co-authors include Jian‐Quan Ni, Xingjie Ren, Jun‐Yuan Ji, Luping Liu, Zhihao Yang, Decai Mao, Xu Jiang, Yanhui Hu, Xia Wang and Huanhuan Qiao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Molecular and Cellular Biology, G3 Genes Genomes Genetics and Life Sciences.

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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