Fang Jiao

2.4k citations
43 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
Force Microscopy Techniques and Applications (7 papers)Lipid Membrane Structure and Behavior (6 papers)Advanced biosensing and bioanalysis techniques (6 papers)

In The Last Decade

Fang Jiao

41 papers receiving 1.7k citations

Hit Papers

Design of biologically active binary protein 2D materials20212026202220242021255075

Peers

Fang Jiao
Comparison fields: 5 of 129
  • Materials Chemistry 701
  • Molecular Biology 589
  • Biomedical Engineering 456
  • Biomaterials 381
  • Organic Chemistry 211
Replace Yuya Hayashi with:
Yuya Hayashi Japan
Federico Fenaroli Norway
Paola Nativo United Kingdom
Soumyananda Chakraborti India
Rachael M. Crist United States
Panagiota Louka United States
Haifeng He China
Courtney R. Thomas United States
Nicole M. Schaeublin United States
Sharmin Kharrazi Iran
Fang Jiao relative to Yuya Hayashi Japan Yuya Hayashi's profile →
Citations per field
00.5×1.5×
Yuya Hayashi · 1×
Citations per year

Countries citing papers authored by Fang Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Jiao. A scholar is included among the top collaborators of Fang Jiao 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 Fang Jiao. Fang Jiao 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 14
4 14
5 1
6 18
7
Design of biologically active binary protein 2D materialsbreakdown →
86
8 14
9 79
10 38
11 26
12 54
13 2
14 42
15 17
16 11
17 96
18 170
19 70
20 262

About Fang Jiao

Fang Jiao is a scholar working on Structural Biology, Developmental Neuroscience and Biomaterials, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (7 papers), Lipid Membrane Structure and Behavior (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Biomaterials (381 citations), Structural Biology (26 citations) and Developmental Neuroscience (73 citations). Fang Jiao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunying Chen, Ying Liu, Fang Lao, Yufeng Li, Chun‐Long Chen, Yuliang Zhao, Zhifang Chai, Haibao Jin, C GE and W LI. Their work appears in journals such as Nature, Angewandte Chemie International Edition and Nature Communications.

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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