Chen Sun

1.2k citations
47 papers · 731 · h-index 17

Impact in

  • Aging top 10%
    • Fungal Biology and Applications
    • Phytochemistry and Bioactivity Studies

Papers in

Chen Sun

44 papers receiving 725 citations

Peers

Chen Sun
Comparison fields: 5 of 104
  • Aging 19
  • Pharmacology 87
  • Pharmacology 145
  • Complementary and alternative medicine 61
  • Health, Toxicology and Mutagenesis 81
Replace Dahye Yoon with:
Dahye Yoon South Korea
Kiran Bala India
Namasivayam Elangovan India
Bernardo López-Torres Spain
Vivek Kumar India
Ileana C. Fărcăşanu Romania
Rosario Casale Italy
Jun-Geon Je South Korea
Snober S. Mir India
Na‐Young Yoon South Korea
Chen Sun relative to Dahye Yoon South Korea Dahye Yoon's profile →
Citations per field
00.5×3.0×
Dahye Yoon · 1×
Citations per year

Countries citing papers authored by Chen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Chen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201651
3 201846
4 201446
5 201844
6 202142
7 202132
8 201931
9 201430
10 201426
11 201526
12 201525
13 201720
14 202220
15 202020
16 202118
17 201918
18 201915
19 201514
20 202014

About Chen Sun

Chen Sun is a scholar working on Molecular Biology, Epidemiology, Pharmacology, Neurology and Plant Science, having authored 47 papers that have together received 731 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Autophagy in Disease and Therapy (4 papers), Zebrafish Biomedical Research Applications (4 papers), Fungal Biology and Applications (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Bioactive natural compounds (3 papers), MicroRNA in disease regulation (3 papers) and Phytochemistry and Bioactivity Studies (2 papers). The work is most often cited by research in Aging (19 citations), Pharmacology (87 citations), Pharmacology (145 citations), Complementary and alternative medicine (61 citations) and Health, Toxicology and Mutagenesis (81 citations). Chen Sun has collaborated with scholars based in China, Malaysia and United Kingdom. Frequent co-authors include Kechun Liu, Yun Zhang, Qiuxia He, Liwen Han, Meng Jin, Zhishu Tang, Juanjuan Li, Qingping Tian, Jian Han and Rongchun Wang. Their work appears in journals such as Marine Drugs, Frontiers in Pharmacology, Desalination, Journal of Ethnopharmacology and Fitoterapia.

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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