Fang Mei

5.6k citations
110 papers · 4.5k indexed · h-index 36
Topics
Receptor Mechanisms and Signaling (17 papers)Protein Kinase Regulation and GTPase Signaling (15 papers)Phosphodiesterase function and regulation (13 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Fang Mei

103 papers receiving 4.5k citations

Peers

Fang Mei
Comparison fields: 5 of 125
  • Molecular Biology 2.5k
  • Oncology 544
  • Surgery 486
  • Biomedical Engineering 472
  • Biomaterials 461
Replace Sarah F. Hamm‐Alvarez with:
Sarah F. Hamm‐Alvarez United States
Stephen J. Yarwood United Kingdom
Chun-Chi Liang United States
Marisa Jaconi Switzerland
Hans‐Peter Elsässer Germany
Nathan J. Pavlos Australia
Patrick B. Dennis United States
Christophe Deroanne Belgium
Yan Zhuang China
María Prat Italy
Fang Mei relative to Sarah F. Hamm‐Alvarez United States Sarah F. Hamm‐Alvarez's profile →
Citations per field
00.5×1.5×2.3×
Sarah F. Hamm‐Alvarez · 1×
Citations per year

Countries citing papers authored by Fang Mei

Since Specialization
Citations

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

Fields of papers citing papers by Fang Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Mei. A scholar is included among the top collaborators of Fang Mei 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 Mei. Fang Mei 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 0
3 1
4 3
5 9
6 53
7 4
8 55
9 11
10
Effect of Sphallerocarpus gracilis Polysaccharides on Proliferation Inhibition and Apoptosis of Sarcoma HepG2 and Mouse Lymphocyte Leukemia P_(388)
1
11 63
12 1
13 36
14 22
15 26
16
A New Route for Preparation of β-TCP/PLLA Composite
1
17 30
18 48
19 1
20 147

About Fang Mei

Fang Mei is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 110 papers that have together received 4.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Protein Kinase Regulation and GTPase Signaling (15 papers) and Phosphodiesterase function and regulation (13 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Biomaterials (461 citations) and Immunology and Allergy (192 citations). Fang Mei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiaodong Cheng, Xiaodong Cheng, Tamara Tsalkova, Zhenyu Ji, Jingbo Qiao, Muayad F. Almahariq, Jingwu Xie, Xuliang Deng, Jia Zhou and Seung‐Kon Ryu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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