Chen Shao-jun

1.4k citations
53 papers · 1.1k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Fermentation and Sensory Analysis
    • Probiotics and Fermented Foods

Papers in

Chen Shao-jun

51 papers receiving 1.1k citations

Peers

Chen Shao-jun
Comparison fields: 5 of 114
  • Cancer Research 245
  • Food Science 222
  • Biotechnology 100
  • Molecular Biology 457
  • Complementary and alternative medicine 49
Replace Guangwen Zhang with:
Guangwen Zhang China
Monika Kassayová Slovakia
Jianxin Lü China
Lihong Pan China
Huan Zhao China
Kexin Wang China
Wei Peng China
Xiaolan Lu China
Haijuan Hu China
Jin‐Won Hyun South Korea
Chen Shao-jun relative to Guangwen Zhang China Guangwen Zhang's profile →
Citations per field
00.5×1.5×
Guangwen Zhang · 1×
Citations per year

Countries citing papers authored by Chen Shao-jun

Since Specialization
Citations

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

Fields of papers citing papers by Chen Shao-jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014193
2 2018144
3 201461
4 201546
5 201646
6 200540
7 201639
8 201639
9 201734
10 201733
11 201732
12 201631
13 201631
14 201828
15 201827
16 201427
17 201625
18 201719
19 201718
20 201516

About Chen Shao-jun

Chen Shao-jun is a scholar working on Molecular Biology, Otorhinolaryngology, Ecological Modeling, Food Science and Biotechnology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), RNA Interference and Gene Delivery (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Fermentation and Sensory Analysis (4 papers), Head and Neck Cancer Studies (3 papers), Evaluation Methods in Various Fields (3 papers), Microbial Metabolism and Applications (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Cancer Research (245 citations), Food Science (222 citations), Biotechnology (100 citations), Molecular Biology (457 citations) and Complementary and alternative medicine (49 citations). Chen Shao-jun has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Junhua Zheng, Feng‐Qiang Yang, Haimin Zhang, Jian‐Ping Che, Pingfan Rao, Xu‐Cong Lv, Li Ni, Zirui Huang, Weiling Guo and Jiaxin Xu. Their work appears in journals such as Food Control, Journal of Visualized Experiments, Evidence-based Complementary and Alternative Medicine, BMC Pediatrics and Molecules.

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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