Fanglei Liu

880 citations
35 papers · 623 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Advanced biosensing and bioanalysis techniques
    • FOXO transcription factor regulation

Papers in

Fanglei Liu

31 papers receiving 611 citations

Peers

Fanglei Liu
Comparison fields: 5 of 112
  • Cancer Research 96
  • Molecular Biology 305
  • Media Technology 33
  • Computer Vision and Pattern Recognition 61
  • Materials Chemistry 132
Replace Wenxue Zhang with:
Wenxue Zhang China
Yan Dai China
Dianwei Wang China
Ning Tang China
Hsin‐Lun Lee Taiwan
K. Sujathan India
Cheng-Wei Chang Taiwan
Taiyi Zhang China
Qingqing Luo China
Fanglei Liu relative to Wenxue Zhang China Wenxue Zhang's profile →
Citations per field
00.5×2.9×
Wenxue Zhang · 1×
Citations per year

Countries citing papers authored by Fanglei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fanglei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 202393
3 201370
4 202353
5 202238
6 202031
7 201529
8 201727
9 201821
10 201416
11 202015
12 202112
13 20238
14 20248
15 20168
16 20197
17 20246
18 20176
19 20256
20 20176

About Fanglei Liu

Fanglei Liu is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Oncology and Electrical and Electronic Engineering, having authored 35 papers that have together received 623 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), Microgrid Control and Optimization (3 papers), Biosensors and Analytical Detection (3 papers), Aquaculture Nutrition and Growth (3 papers), Advanced Nanomaterials in Catalysis (3 papers), Image and Signal Denoising Methods (3 papers), Animal Genetics and Reproduction (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (96 citations), Molecular Biology (305 citations), Media Technology (33 citations), Computer Vision and Pattern Recognition (61 citations) and Materials Chemistry (132 citations). Fanglei Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guohai Yang, Lulu Qu, Yingqiu Gu, Zhongliang Guo, Jingjing Lu, Qingchun Lu, Wang Xie, Kai‐Ling Wang, Xia Gu and Dongyi Zhu. Their work appears in journals such as Analytical Chemistry, Aquaculture, Oncology Reports, Analytica Chimica Acta and Frontiers in Immunology.

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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