Hui Miao

12.9k citations
128 papers · 5.1k · h-index 35

Impact in

Papers in

    • Ubiquitin and proteasome pathways 6
    • Cellular Mechanics and Interactions 11
    • Hippo pathway signaling and YAP/TAZ 8
    • Microtubule and mitosis dynamics 7
    • Cellular transport and secretion 6

Hui Miao

122 papers receiving 5.0k citations

Peers

Hui Miao
Comparison fields: 5 of 134
  • Cellular and Molecular Neuroscience 1.7k
  • Cell Biology 1.4k
  • Immunology and Allergy 473
  • Molecular Biology 2.4k
  • Cancer Research 447
Replace Alastair D. Reith with:
Alastair D. Reith United Kingdom
Hidenobu Tanihara Japan
Kenji Sobue Japan
Mitsutoshi Nakada Japan
Jörg Geiger Germany
Osamu Minowa Japan
Kazuyasu Chihara Japan
Lindsay Hinck United States
Jianhua Feng China
Yves Courtois France
Hui Miao relative to Alastair D. Reith United Kingdom Alastair D. Reith's profile →
Citations per field
00.5×1.5×2.2×
Alastair D. Reith · 1×
Citations per year

Countries citing papers authored by Hui Miao

Since Specialization
Citations

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

Fields of papers citing papers by Hui Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hui Miao, 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 Hui Miao Line = papers co-authored together Hui Miao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999462
2 2009417
3 2001341
4 2001294
5 2011172
6 2014136
7 2005125
8 2009120
9 2006116
10 1998115
11 1998112
12 2006108
13 2012104
14 2002102
15 200999
16 199890
17 200290
18 200886
19 200484
20 201182

About Hui Miao

Hui Miao is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Cancer Research and Public Health, Environmental and Occupational Health, having authored 128 papers that have together received 5.1k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (14 papers), Cellular Mechanics and Interactions (11 papers), Cell Adhesion Molecules Research (10 papers), Hippo pathway signaling and YAP/TAZ (8 papers), Pituitary Gland Disorders and Treatments (8 papers), Microtubule and mitosis dynamics (7 papers), Ubiquitin and proteasome pathways (6 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Cell Biology (1.4k citations), Immunology and Allergy (473 citations), Molecular Biology (2.4k citations) and Cancer Research (447 citations). Hui Miao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shu Chien, Michael S. Kinch, Bing-Cheng Wang, Erin L. Simon, Hong Guo, Yi‐Shuan Li, John R. Sedor, Suli Yuan, Kuang‐Den Chen and Miguel Á. del Pozo. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Journal of Vascular Research and Development.

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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