Jun Chen

8.1k citations
284 papers · 5.7k · h-index 43

Impact in

Papers in

    • Genomics and Phylogenetic Studies 17
    • Photosynthetic Processes and Mechanisms 12
    • Plant Molecular Biology Research 12
    • Plant-Microbe Interactions and Immunity 9

Jun Chen

260 papers receiving 5.6k citations

Peers

Jun Chen
Comparison fields: 5 of 172
  • Aging 96
  • Pharmaceutical Science 234
  • Plant Science 1.4k
  • Molecular Biology 2.1k
  • Agronomy and Crop Science 288
Replace Masahiro Hattori with:
Masahiro Hattori Japan
Satoshi Ogawa Japan
Hao Zhang China
Richard Billington United Kingdom
He Zhang China
John T. Hancock United Kingdom
Liang Chen China
Qiao Li China
Xiaoying Liu China
Jun Chen relative to Masahiro Hattori Japan Masahiro Hattori's profile →
Citations per field
00.5×3.9×
Masahiro Hattori · 1×
Citations per year

Countries citing papers authored by Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 284 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004218
2 2019176
3 2012168
4 2016156
5 2015133
6 2015116
7 2003102
8 2018100
9 201797
10 200694
11 200190
12 201589
13 202384
14 201478
15 201777
16 201375
17 201773
18 200472
19 200472
20 200871

About Jun Chen

Jun Chen is a scholar working on Molecular Biology, Plant Science, Ecology, Global and Planetary Change and Biotechnology, having authored 284 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Marine Sponges and Natural Products (13 papers), Plant Molecular Biology Research (12 papers), Photosynthetic Processes and Mechanisms (12 papers), Advancements in Transdermal Drug Delivery (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Plant and animal studies (9 papers). The work is most often cited by research in Aging (96 citations), Pharmaceutical Science (234 citations), Plant Science (1.4k citations), Molecular Biology (2.1k citations) and Agronomy and Crop Science (288 citations). Jun Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenxiong Lin, Linkun Wu, Hongmiao Wu, Qiu-Dong Jiang, Juanying Wang, Sheng Lin, Peter J. Christie, Huanquan Zheng, Hui Zhang and Huann‐Sheng Chen. Their work appears in journals such as Blood, PLoS ONE, International Journal of Molecular Sciences, Marine Drugs and Frontiers in Microbiology.

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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