Fei Mao

8.4k citations
136 papers · 6.4k indexed · 4 hit papers · h-index 44
Topics
Extracellular vesicles in disease (32 papers)Mesenchymal stem cell research (30 papers)MicroRNA in disease regulation (29 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaACS Nano
Partner nations
ChinaGhanaUnited States

In The Last Decade

Fei Mao

133 papers receiving 6.3k citations

Hit Papers

Exosomes released by human umbilical cord mesenchymal ste...20132026201720212013201820222024100200300400500

Peers

Fei Mao
Comparison fields: 5 of 127
  • Molecular Biology 4.1k
  • Cancer Research 2.3k
  • Genetics 1.4k
  • Surgery 944
  • Immunology 940
Replace Yongmin Yan with:
Yongmin Yan China
Bin Zhang China
Koichi Hattori Japan
Désiré Collen Belgium
Maria Felice Brizzi Italy
Robert Flaumenhaft United States
Ana L. Mora United States
Francisco J. Vizoso Spain
Franck Verrecchia France
Yue Wang China
Fei Mao relative to Yongmin Yan China Yongmin Yan's profile →
Citations per field
00.5×1.5×2.1×
Yongmin Yan · 1×
Citations per year

Countries citing papers authored by Fei Mao

Since Specialization
Citations

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

Fields of papers citing papers by Fei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Mao. A scholar is included among the top collaborators of Fei Mao 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 Fei Mao. Fei Mao 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 6
3 36
4 4
5 26
6 44
7 7
8 2
9 65
10 21
11 39
12 12
13 5
14 33
15
Human Mesenchymal Stem Cell Derived Exosomes Alleviate Type 2 Diabetes Mellitus by Reversing Peripheral Insulin Resistance and Relieving β-Cell Destructionbreakdown →
354
16 4
17 17
18 29
19 31
20 102

About Fei Mao

Fei Mao is a scholar working on Cancer Research, Genetics and Immunology, having authored 136 papers that have together received 6.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (32 papers), Mesenchymal stem cell research (30 papers) and MicroRNA in disease regulation (29 papers). The work is most often cited by research in Cancer Research (2.3k citations), Genetics (1.4k citations) and Molecular Biology (4.1k citations). Fei Mao has collaborated with scholars based in China, Ghana and United States. Frequent co-authors include Hui Qian, Wenrong Xu, Yongmin Yan, Xu Zhang, Dickson Kofi Wiredu Ocansey, Wei Zhu, Bin Zhang, Hui Shi, Mei Wang and Cheng Ji. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and ACS Nano.

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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