Fuhai Li

8.1k citations
154 papers · 5.8k indexed · 1 hit paper · h-index 38

Impact in

  • Biophysics top 0.5%
    • Cell Image Analysis Techniques
  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Fuhai Li

149 papers receiving 5.7k citations

Hit Papers

Epithelial-to-mesenchymal transition is not required for lung metastasis but contributes to chemoresistance 2015 · 1.4k citations
1.4k20152026201820224008001.2k

Peers

Fuhai Li
Comparison fields: 5 of 156
  • Biophysics 604
  • Neurology 572
  • Cancer Research 914
  • Oncology 1.2k
  • Molecular Biology 2.4k
Replace Guanghua Xiao with:
Guanghua Xiao United States
Christine Decaestecker Belgium
Norbert Gretz Germany
Kevin Petrecca Canada
Yutaka Yatomi Japan
Michael Schäfers Germany
Chulhee Choi South Korea
Michael J. Schell United States
Weiling Zhao United States
Satoshi O. Suzuki Japan
Fuhai Li relative to Guanghua Xiao United States Guanghua Xiao's profile →
Citations per field
00.5×3.6×
Guanghua Xiao · 1×
Citations per year

Countries citing papers authored by Fuhai Li

Since Specialization
Citations

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

Fields of papers citing papers by Fuhai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20251
4 20241
5 20243
6 20243
7 20245
8 20235
9 202319
10 202116
11 202121
12 202172
13 20219
14 20202
15 202017
16 201816
17 201328
18 201025
19
[Expression and activity of RhoA/Rho kinase in remodeling of high blood flow pulmonary vessels.].
20071
20 20000

About Fuhai Li

Fuhai Li is a scholar working on Biophysics, Neurology, Cancer Research, Media Technology and Computational Theory and Mathematics, having authored 154 papers that have together received 5.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (22 papers), Bioinformatics and Genomic Networks (19 papers), Computational Drug Discovery Methods (17 papers), Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (15 papers), Image Processing Techniques and Applications (10 papers), MRI in cancer diagnosis (9 papers) and Cancer Cells and Metastasis (9 papers). The work is most often cited by research in Biophysics (604 citations), Neurology (572 citations), Cancer Research (914 citations), Oncology (1.2k citations) and Molecular Biology (2.4k citations). Fuhai Li has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Stephen T.C. Wong, Marc Fisher, Jianting Sheng, Christopher H. Sotak, Vivek Mittal, Anna Durrans, Hyejin Choi, Seongho Ryu, Nasser K. Altorki and Dingcheng Gao. Their work appears in journals such as Stroke, Scientific Reports, Magnetic Resonance in Medicine, Stem Cells Translational Medicine and Cancer Research.

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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2026