Guangfu Chen

924 citations
51 papers · 675 · h-index 14

Impact in

Papers in

Guangfu Chen

48 papers receiving 668 citations

Peers

Guangfu Chen
Comparison fields: 5 of 109
  • Cancer Research 176
  • Statistical and Nonlinear Physics 75
  • Process Chemistry and Technology 15
  • Computational Mathematics 3
  • Molecular Biology 225
Replace Jong-Kwang Kim with:
Jong-Kwang Kim South Korea
Claudia Coronnello Italy
Yunfei He China
Haiqin Wang China
Xiangqun Yang China
Xinyan Lu China
Xiaoya Xu China
Jian Shen China
W. Li China
Ziheng Wang China
Guangfu Chen relative to Jong-Kwang Kim South Korea Jong-Kwang Kim's profile →
Citations per field
00.5×1.5×2.1×
Jong-Kwang Kim · 1×
Citations per year

Countries citing papers authored by Guangfu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangfu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011188
2 202040
3 201437
4 201235
5 201133
6 201132
7 201932
8 201427
9 201724
10 201924
11 202022
12 201118
13 202115
14 201914
15
[Protective effects of trichosanthin in Herpes simplex virus-1 encephalitis in mice].
200611
16 201410
17 20129
18
[Significance of MMP2 and MMP9 expression in prostate cancer].
20059
19 20189
20 20235

About Guangfu Chen

Guangfu Chen is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Statistical and Nonlinear Physics and Cancer Research, having authored 51 papers that have together received 675 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (6 papers), Complex Network Analysis Techniques (5 papers), Spine and Intervertebral Disc Pathology (4 papers), Advanced Graph Neural Networks (4 papers), Renal cell carcinoma treatment (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Cancer Research (176 citations), Statistical and Nonlinear Physics (75 citations), Process Chemistry and Technology (15 citations), Computational Mathematics (3 citations) and Molecular Biology (225 citations). Guangfu Chen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jianwen Feng, Jiqiang Feng, Wei Guo, Xinsheng Peng, Xuenong Zou, Chen Xu, Jingyi Wang, Yingrong Lai, Yubo Tang and Xiang-An Tu. Their work appears in journals such as PLoS ONE, Urology, Medicine, Cancer Letters and Journal of Orthopaedic Surgery and 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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