Lie Sun

611 citations
24 papers · 504 · h-index 11

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Gut microbiota and health
    • Natural product bioactivities and synthesis

Papers in

    • Cancer-related molecular mechanisms research 4
    • NF-κB Signaling Pathways 3
    • Colorectal and Anal Carcinomas 2

Lie Sun

20 papers receiving 501 citations

Peers

Lie Sun
Comparison fields: 5 of 99
  • Cancer Research 186
  • Molecular Biology 270
  • Biochemistry 28
  • Pathology and Forensic Medicine 65
  • Immunology 61
Replace Jun Deng with:
Jun Deng China
Juji Dai China
Feng Huang China
Chung-Kwe Wang Taiwan
Naoshad Muhammad United States
Hui‐Ning Fan China
Qinghai Li China
Sichun Zhou China
Subhayan Sur United States
Yigang Feng Hong Kong
Lie Sun relative to Jun Deng China Jun Deng's profile →
Citations per field
00.5×10×15×20×23×
Jun Deng · 1×
Citations per year

Countries citing papers authored by Lie Sun

Since Specialization
Citations

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

Fields of papers citing papers by Lie Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201778
2 201668
3 201166
4 201055
5 201949
6 200936
7 201732
8 201628
9 201427
10 202324
11 201717
12 20247
13 20214
14 20223
15 20203
16 20242
17
Effect of Puerarin on Expression of C-reactive Protein in Iliac Artery of Atherosclerotic Rabbit
20081
18 20251
19 20241
20 20181

About Lie Sun

Lie Sun is a scholar working on Cancer Research, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 24 papers that have together received 504 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), NF-κB Signaling Pathways (3 papers), Air Quality and Health Impacts (3 papers), Cancer Research and Treatments (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), RNA Research and Splicing (2 papers) and Colorectal and Anal Carcinomas (2 papers). The work is most often cited by research in Cancer Research (186 citations), Molecular Biology (270 citations), Biochemistry (28 citations), Pathology and Forensic Medicine (65 citations) and Immunology (61 citations). Lie Sun has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiangjun Yang, Wenzhi Hu, Yucun Liu, Qin Zhang, Pengyuan Wang, Yisheng Pan, Jing Zhu, Shuai Zuo, Guowei Chen and Xin Wang. Their work appears in journals such as Urban Climate, Journal of Pharmaceutical Sciences, Neoplasia, Oncology Reports and Pharmacology.

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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