Bin Fang

1.8k citations
31 papers · 1.4k indexed · 2 hit papers · h-index 17
Topics
Tissue Engineering and Regenerative Medicine (7 papers)Electrospun Nanofibers in Biomedical Applications (6 papers)Wound Healing and Treatments (4 papers)
Partner nations
ChinaSpainUnited States

In The Last Decade

Bin Fang

30 papers receiving 1.4k citations

Hit Papers

Periosteal matrix-derived hydrogel promotes bone repair t...20192026202120232019201950100150200250

Peers

Bin Fang
Comparison fields: 5 of 106
  • Molecular Biology 504
  • Biomedical Engineering 366
  • Surgery 239
  • Pathology and Forensic Medicine 193
  • Biomaterials 193
Replace Ho‐Keun Yi with:
Ho‐Keun Yi South Korea
Chenyu Chu China
Ye‐Rang Yun South Korea
Yili Qu China
Yuning Zhou China
Sung‐Ho Kook South Korea
Azadeh Montaseri Iran
Qian Tang China
Hee Seok Yang South Korea
Yunna Chen China
Bin Fang relative to Ho‐Keun Yi South Korea Ho‐Keun Yi's profile →
Citations per field
00.5×3.4×
Ho‐Keun Yi · 1×
Citations per year

Countries citing papers authored by Bin Fang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Fang. A scholar is included among the top collaborators of Bin Fang 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 Bin Fang. Bin Fang 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 1
2 1
3 10
4 17
5 5
6 20
7 12
8 6
9 11
10 41
11 76
12 109
13 4
14 51
15 88
16 63
17 39
18 14
19
Mesenchymal stem cell-derived exosomes ameliorate intervertebral disc degeneration via anti-oxidant and anti-inflammatory effectsbreakdown →
239
20 79

About Bin Fang

Bin Fang is a scholar working on Rehabilitation, Biomaterials and Molecular Medicine, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Wound Healing and Treatments (4 papers). The work is most often cited by research in Rehabilitation (139 citations), Biomaterials (193 citations) and Pathology and Forensic Medicine (193 citations). Bin Fang has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Xianfeng Lin, Shunwu Fan, Pengfei Chen, Pengcheng Qiu, Kai Chen, Mobai Li, Ting Xia, Qingfeng Li, Shengzhou Shan and Min Wang. Their work appears in journals such as Biomaterials, Food Chemistry and The FASEB Journal.

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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