Shen Fu

982 citations
29 papers · 781 indexed · h-index 9
Topics
HER2/EGFR in Cancer Research (3 papers)Ubiquitin and proteasome pathways (2 papers)Cancer-related Molecular Pathways (2 papers)

In The Last Decade

Shen Fu

25 papers receiving 768 citations

Peers

Shen Fu
Comparison fields: 5 of 92
  • Biomedical Engineering 386
  • Molecular Biology 299
  • Materials Chemistry 217
  • Biomaterials 207
  • Electronic, Optical and Magnetic Materials 153
Replace Lisa E. Cole with:
Lisa E. Cole United States
Quanyu Cai China
Tsai‐Yueh Luo Taiwan
David Kryza France
Nobutaka Iwakuma Japan
Iris Marangon France
Jennifer Stanfield United States
Remon Bazak Egypt
Sung Duk Jo South Korea
Meike L. Schipper Germany
Shen Fu relative to Lisa E. Cole United States Lisa E. Cole's profile →
Citations per field
00.5×1.5×
Lisa E. Cole · 1×
Citations per year

Countries citing papers authored by Shen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shen Fu. A scholar is included among the top collaborators of Shen Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shen Fu. Shen Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 3
4 7
5 4
6 2
7 80
8 49
9 0
10 11
11 2
12 24
13
Spatial distribution of female adults of Phenacoccus solenopsis Tinsley (Hemiptera:Pseudococcidae) on Portulaca grandiflora
3
14 17
15 23
16 3
17 356
18 100
19
Analysis of water saving in received area in Huanghe HuaiheHaihe watersheds and Eastern and Middle Lines of Water Transferring Project from South to North, China
2
20 0

About Shen Fu

Shen Fu is a scholar working on Oncology, Geriatrics and Gerontology and Radiation, having authored 29 papers that have together received 781 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Biomaterials (207 citations), Biomedical Engineering (386 citations) and Electronic, Optical and Magnetic Materials (153 citations). Shen Fu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Daxiang Cui, Guo Gao, Peng Huang, Teng Luo, Chunlei Zhang, He Meng, Jing Lin, Le Bao, Zhiming Li and Bingbing Gao. Their work appears in journals such as Biomaterials, International Journal of Radiation Oncology*Biology*Physics and Optics Express.

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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