Guoping Li

8.2k citations
245 papers · 5.7k · h-index 41

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Aging top 5%

Papers in

    • Circular RNAs in diseases 24
    • Extracellular vesicles in disease 20
    • RNA modifications and cancer 18
    • RNA Research and Splicing 13
    • Muscle Physiology and Disorders 8
    • Cancer-related molecular mechanisms research 28
    • MicroRNA in disease regulation 26

Guoping Li

231 papers receiving 5.6k citations

Peers

Guoping Li
Comparison fields: 5 of 173
  • Cancer Research 1.0k
  • Aging 76
  • Molecular Biology 2.4k
  • Complementary and alternative medicine 174
  • Cardiology and Cardiovascular Medicine 444
Replace Yun Wang with:
Yun Wang China
Yu Li China
Fang Li China
Tao Wang China
Daniel Teupser Germany
Andreas Simm Germany
Min Zhang China
Francesco Curcio Italy
Jing Zhou China
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Guoping Li relative to Yun Wang China Yun Wang's profile →
Citations per field
00.5×1.5×2.2×
Yun Wang · 1×
Citations per year

Countries citing papers authored by Guoping Li

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 245 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018221
2 2020218
3 2013183
4 2018160
5 2022131
6 2014120
7 1985120
8 2020106
9 2022101
10 201699
11 201498
12 202290
13 200290
14 201683
15 201182
16 202282
17 202281
18 201480
19 201376
20 201875

About Guoping Li

Guoping Li is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Epidemiology and Physiology, having authored 245 papers that have together received 5.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (28 papers), MicroRNA in disease regulation (26 papers), Circular RNAs in diseases (24 papers), Extracellular vesicles in disease (20 papers), RNA modifications and cancer (18 papers), RNA Research and Splicing (13 papers), Muscle Physiology and Disorders (8 papers) and Autophagy in Disease and Therapy (8 papers). The work is most often cited by research in Cancer Research (1.0k citations), Aging (76 citations), Molecular Biology (2.4k citations), Complementary and alternative medicine (174 citations) and Cardiology and Cardiovascular Medicine (444 citations). Guoping Li has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Junjie Xiao, Gaoquan Gong, Changyu Li, H. Immo Lehmann, Min Wu, Priyanka Gokulnath, Lingxiao Liu, Michail Spanos, Hui Chen and Tianhui Wang. Their work appears in journals such as Advances in experimental medicine and biology, Journal of sport and health science, Advanced Science, EBioMedicine and Stem Cell Reports.

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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