Guangfu Chen

911 citations
51 papers · 664 · h-index 14

Impact in

Papers in

Guangfu Chen

49 papers receiving 656 citations

Peers

Guangfu Chen
Comparison fields: 5 of 112
  • Cancer Research 194
  • Statistical and Nonlinear Physics 72
  • Process Chemistry and Technology 15
  • Computational Mathematics 3
  • Urology 26
Replace Limin Zhang with:
Limin Zhang China
Jong-Kwang Kim South Korea
Claudia Coronnello Italy
Yunfei He China
Xinyan Lu China
Haiqin Wang China
Kazuki Okamura Japan
Jianqiang Zhao China
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Guangfu Chen relative to Limin Zhang China Limin Zhang's profile →
Citations per field
00.5×1.5×
Limin Zhang · 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 202039
3 201437
4 201235
5 201132
6 201131
7 201931
8 201427
9 201923
10 201722
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 20189
18 20129
19
[Significance of MMP2 and MMP9 expression in prostate cancer].
20059
20 20235

About Guangfu Chen

Guangfu Chen is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 51 papers that have together received 664 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (8 papers), Urinary and Genital Oncology Studies (4 papers), Renal cell carcinoma treatment (4 papers), Complex Network Analysis Techniques (4 papers), MicroRNA in disease regulation (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Urological Disorders and Treatments (4 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Cancer Research (194 citations), Statistical and Nonlinear Physics (72 citations), Process Chemistry and Technology (15 citations), Computational Mathematics (3 citations) and Urology (26 citations). Guangfu Chen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Jianwen Feng, Jiqiang Feng, Xuenong Zou, Xinsheng Peng, Wei Guo, Chen Xu, Jingyi Wang, Hong Du, Shuai Huang and Xiang-An Tu. Their work appears in journals such as Medicine, Urology, PLoS ONE, Journal of Endourology and International Journal of Biological Macromolecules.

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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