Yingli Fu

729 citations
49 papers · 564 indexed · h-index 14
Topics
Tissue Engineering and Regenerative Medicine (13 papers)Mesenchymal stem cell research (12 papers)Magnetic properties of thin films (9 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Yingli Fu

48 papers receiving 548 citations

Peers

Yingli Fu
Comparison fields: 5 of 94
  • Surgery 162
  • Biomedical Engineering 135
  • Molecular Biology 108
  • Atomic and Molecular Physics, and Optics 99
  • Biomaterials 79
Replace Arthur Chiou with:
Arthur Chiou Taiwan
Olga A. Sindeeva Russia
Mark Howell United States
Carly S. Filgueira United States
Dariusz Dobrowolski Poland
Kazunori Igarashi Japan
Yves Martin Canada
Jianting Wang China
Zhonglei He Ireland
Xiangqian Hong China
Yingli Fu relative to Arthur Chiou Taiwan Arthur Chiou's profile →
Citations per field
00.5×4.5×
Arthur Chiou · 1×
Citations per year

Countries citing papers authored by Yingli Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yingli Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingli Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingli Fu. A scholar is included among the top collaborators of Yingli 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 Yingli Fu. Yingli 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 13
2 5
3 8
4 3
5 13
6 6
7 2
8
Network Meta-analysis of 9 kinds of Chinese herb injections combined with transcatheter arterial chemoembolization in treatment of hepatocellular carcinoma
1
9 13
10 13
11 22
12 8
13 8
14 6
15 17
16 1
17 28
18 22
19 12
20 26

About Yingli Fu

Yingli Fu is a scholar working on Genetics, Endocrine and Autonomic Systems and Biomaterials, having authored 49 papers that have together received 564 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (13 papers), Mesenchymal stem cell research (12 papers) and Magnetic properties of thin films (9 papers). The work is most often cited by research in Pharmaceutical Science (43 citations), Molecular Medicine (32 citations) and Genetics (65 citations). Yingli Fu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Dara L. Kraitchman, Dorota Kedziorek, Qun Liu, Hitoshi Saito, Weiting Yu, Weiming Xue, Xiudong Liu, Quan Yuan, Xiaojun Ma and Takashi Hasegawa. Their work appears in journals such as Circulation, Applied Physics Letters and Journal of the American College of Cardiology.

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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