Guangyan Miao

1.5k citations
13 papers · 1.1k indexed · 1 hit paper · h-index 11
  • Physiology top 2%
    • Lysosomal Storage Disorders Research 3
    • Calcium signaling and nucleotide metabolism 2
    • Endoplasmic Reticulum Stress and Disease 5
    • Cellular transport and secretion 2
    • Autophagy in Disease and Therapy 9
  • Aging top 10%
    • Lipid metabolism and biosynthesis 2
    • Cannabis and Cannabinoid Research 2
    • Neurological diseases and metabolism 1

Guangyan Miao

13 papers receiving 1.1k citations

Hit Papers

ORF3a of the COVID-19 virus SARS-CoV-2 blocks HOPS comple...261202020262022202450100150200250

Peers

Guangyan Miao
Comparison fields: 5 of 81
  • Physiology 154
  • Cell Biology 398
  • Epidemiology 626
  • Aging 25
  • Biochemistry 93
Replace Alf Håkon Lystad with:
Alf Håkon Lystad Norway
Hannah E.J. Polson United Kingdom
Gabriele Zaffagnini Austria
Nikit Kumar United States
Andrea Gubaš Germany
Taki Nishimura Japan
Joshua A. Lees United States
Aliaksandr Khaminets Germany
Martin Graef Germany
Hannah C. Dooley United Kingdom
Guangyan Miao relative to Alf Håkon Lystad Norway Alf Håkon Lystad's profile →
Citations per field
00.5×1.7×
Alf Håkon Lystad · 1×
Citations per year

Countries citing papers authored by Guangyan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Guangyan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 20252
2 202328
3 202212
4
ORF3a of the COVID-19 virus SARS-CoV-2 blocks HOPS complex-mediated assembly of the SNARE complex required for autolysosome formationbreakdown →
2020261
5 201987
6 201937
7 2018141
8 2017169
9 2016232
10 201622
11 20161
12 2015111
13 201323

About Guangyan Miao

Guangyan Miao is a scholar working on Physiology, Cell Biology and Biological Psychiatry, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lysosomal Storage Disorders Research (3 papers), Cannabis and Cannabinoid Research (2 papers), Cellular transport and secretion (2 papers), Lipid metabolism and biosynthesis (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Physiology (154 citations), Cell Biology (398 citations) and Epidemiology (626 citations). Guangyan Miao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hong Zhang, Yong Chen, Yan Zhao, Hongyu Zhao, Du Feng, Hong Zhang, Nan Liu, Yi Shi, Ming-Ming Ji and Yuhai Bi. Their work appears in journals such as Cell, Molecular Cell and PLoS ONE.

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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