Li Liu

7.3k citations
263 papers · 5.7k · h-index 39

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

Li Liu

246 papers receiving 5.6k citations

Peers

Li Liu
Comparison fields: 5 of 189
  • Cancer Research 1.9k
  • Molecular Biology 2.4k
  • Health, Toxicology and Mutagenesis 399
  • Atmospheric Science 355
  • Biological Psychiatry 39
Replace Ming Chen with:
Ming Chen China
Qin Ma China
Jörg Rahnenführer Germany
Jianfeng Li China
Francesmary Modugno United States
Jiayin Liu China
Yuhao Chen China
Xiao Xiao China
Cheng Zhang China
Gwang Lee South Korea
Li Liu relative to Ming Chen China Ming Chen's profile →
Citations per field
00.5×2×4×5.3×
Ming Chen · 1×
Citations per year

Countries citing papers authored by Li Liu

Since Specialization
Citations

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

Fields of papers citing papers by Li Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2018215
3 2010167
4 2006159
5 2015159
6 2009143
7 2012140
8 2014135
9 2010129
10 2018107
11 2015103
12 2016102
13 201689
14 201783
15 201582
16 201480
17 201979
18 201676
19 201175
20 201272

About Li Liu

Li Liu is a scholar working on Cancer Research, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Industrial and Manufacturing Engineering, having authored 263 papers that have together received 5.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (58 papers), Circular RNAs in diseases (34 papers), Cancer-related molecular mechanisms research (21 papers), Aluminum Alloys Composites Properties (13 papers), Industrial Vision Systems and Defect Detection (12 papers), 3D Shape Modeling and Analysis (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Gene expression and cancer classification (10 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (2.4k citations), Health, Toxicology and Mutagenesis (399 citations), Atmospheric Science (355 citations) and Biological Psychiatry (39 citations). Li Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quan Zou, Xiangxiang Zeng, Linyuan Lü, Chuanfu Li, Tuanzhu Ha, David Williams, John H. Kalbfleisch, Xia Zhang, Linhui Liang and Xianghuo He. Their work appears in journals such as PLoS ONE, Atmospheric chemistry and physics, Oncotarget, Multimedia Tools and Applications and Scientific 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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