Mingxi Yao

3.1k citations
40 papers · 2.3k · h-index 22

Impact in

  • Cell Biology top 0.5%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics
    • Hippo pathway signaling and YAP/TAZ
    • Cell Adhesion Molecules Research

Papers in

Mingxi Yao

37 papers receiving 2.2k citations

Peers

Mingxi Yao
Comparison fields: 5 of 97
  • Cell Biology 1.3k
  • Immunology and Allergy 309
  • Atomic and Molecular Physics, and Optics 724
  • Structural Biology 31
  • Molecular Biology 1.0k
Replace Tom Shemesh with:
Tom Shemesh Israel
Alba Diz-Muñoz Germany
Andrey A. Bobkov United States
Michael D. Brenner United States
Julie Plastino France
Olivier Rossier France
Shimin Le Singapore
Christien J. Merrifield United Kingdom
Alexandre R. Gingras United Kingdom
Allen P. Liu United States
Mingxi Yao relative to Tom Shemesh Israel Tom Shemesh's profile →
Citations per field
00.5×2.9×
Tom Shemesh · 1×
Citations per year

Countries citing papers authored by Mingxi Yao

Since Specialization
Citations

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

Fields of papers citing papers by Mingxi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingxi Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingxi Yao Line = papers co-authored together Mingxi Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014359
2 2016292
3 2014291
4 2015129
5 2012108
6 202299
7 201189
8 201780
9 201475
10 201775
11 201765
12 201763
13 202360
14 201758
15 202152
16 201842
17 202142
18 201236
19 201535
20 202123

About Mingxi Yao

Mingxi Yao is a scholar working on Cell Biology, Atomic and Molecular Physics, and Optics, Molecular Biology, Physiology and Biomedical Engineering, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (24 papers), Force Microscopy Techniques and Applications (19 papers), Erythrocyte Function and Pathophysiology (8 papers), Protein Structure and Dynamics (4 papers), Blood properties and coagulation (4 papers), Cell Adhesion Molecules Research (4 papers), Microtubule and mitosis dynamics (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Immunology and Allergy (309 citations), Atomic and Molecular Physics, and Optics (724 citations), Structural Biology (31 citations) and Molecular Biology (1.0k citations). Mingxi Yao has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Jie Yan, Michael P. Sheetz, Peiwen Cong, Benjamin T. Goult, Hu Chen, Xian Hu, Shimin Le, Chwee Teck Lim, Artem K. Efremov and René‐Marc Mège. Their work appears in journals such as Journal of the American Chemical Society, Biophysical Journal, Nature Communications, Journal of Molecular Biology and Biomaterials.

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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