Fangxia Guan

8.7k total citations · 3 hit papers
159 papers, 6.3k citations indexed

About

Fangxia Guan is a scholar working on Molecular Biology, Biomaterials and Genetics. According to data from OpenAlex, Fangxia Guan has authored 159 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 30 papers in Biomaterials and 28 papers in Genetics. Recurrent topics in Fangxia Guan's work include Wound Healing and Treatments (27 papers), Electrospun Nanofibers in Biomedical Applications (24 papers) and Mesenchymal stem cell research (24 papers). Fangxia Guan is often cited by papers focused on Wound Healing and Treatments (27 papers), Electrospun Nanofibers in Biomedical Applications (24 papers) and Mesenchymal stem cell research (24 papers). Fangxia Guan collaborates with scholars based in China, United States and Australia. Fangxia Guan's co-authors include Shanshan Ma, Minghao Yao, Yikun Ren, Yuanmeng He, Rong Chang, Shen Guo, Dan Zhang, Zhe Li, Yingying Wang and Zhenkun Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Blood.

In The Last Decade

Fangxia Guan

155 papers receiving 6.3k citations

Hit Papers

Positive feedback regulation of microglial glucose metabo... 2021 2026 2022 2024 2022 2021 2022 100 200 300 400

Peers

Fangxia Guan
Comparison fields: 5 of 157
  • Molecular Biology 2.2k
  • Biomaterials 1.2k
  • Biomedical Engineering 958
  • Rehabilitation 866
  • Surgery 760
Replace Raquel Soares with:
Raquel Soares Portugal
Hao Wu China
Shiyu Liu China
Jianjie Ma United States
Lei Qiang China
Lei Chen China
Reza Rahbarghazi‬ Iran
Ning Zhang China
Weiyang Gao China
R. Rivkah Isseroff United States
Raquel Soares Portugal View profile →
Citations per field, relative to Fangxia Guan
Fangxia Guan · 1×
Citations per year, relative to Fangxia Guan
Fangxia Guan · 1×

Countries citing papers authored by Fangxia Guan

Since Specialization
Citations

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

Fields of papers citing papers by Fangxia Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangxia Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Fangxia Guan. A scholar is included among the top collaborators of Fangxia Guan 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 Fangxia Guan. Fangxia Guan 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
# Work Indexed citations
1 7
2 0
3 3
4 5
5 7
6 1
7 5
8 20
9 1
10 21
11 43
12 12
13 44
14 67
15 65
16 29
17 48
18 15
19 0
20 21

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026