Miao Wang

8.2k citations
108 papers · 5.9k indexed · 2 hit papers · h-index 34

Impact in

Papers in

Miao Wang

103 papers receiving 5.9k citations

Hit Papers

Protein misfolding in the endoplasmic reticulum as a conduit to human disease 2016 · 1.2k citations
1.2k20142026201820224008001.2k

Peers

Miao Wang
Comparison fields: 5 of 158
  • Cell Biology 2.5k
  • Geriatrics and Gerontology 325
  • Aging 109
  • Physiology 216
  • Epidemiology 1.6k
Replace Martin Schröder with:
Martin Schröder United Kingdom
Éva Szegezdi Ireland
Ling Qi United States
Ciro Isidoro Italy
Koji Okamoto Japan
Yong Tae Kwon South Korea
José Manuel Bravo‐San Pedro France
Deyu Fang United States
Ruth Scherz‐Shouval Israel
Miao Wang relative to Martin Schröder United Kingdom Martin Schröder's profile →
Citations per field
00.5×3.6×
Martin Schröder · 1×
Citations per year

Countries citing papers authored by Miao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Miao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 202416
4 20247
5 202416
6 20240
7 20247
8 202380
9 202236
10 202243
11 20205
12 2020139
13 20186
14 201821
15 201460
16 201415
17 20149
18 201327
19 20087
20 200586

About Miao Wang

Miao Wang is a scholar working on Geriatrics and Gerontology, Cell Biology, Epidemiology, Physiology and Molecular Biology, having authored 108 papers that have together received 5.9k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (16 papers), Autophagy in Disease and Therapy (15 papers), Advanced biosensing and bioanalysis techniques (12 papers), Liver Disease Diagnosis and Treatment (9 papers), Sirtuins and Resveratrol in Medicine (8 papers), RNA Interference and Gene Delivery (6 papers), DNA and Nucleic Acid Chemistry (5 papers) and Caveolin-1 and cellular processes (5 papers). The work is most often cited by research in Cell Biology (2.5k citations), Geriatrics and Gerontology (325 citations), Aging (109 citations), Physiology (216 citations) and Epidemiology (1.6k citations). Miao Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Randal J. Kaufman, Amy S. Lee, Risheng Ye, Shiuan Wey, Yi Zhang, Hening Lin, Xianlin Han, Yong Fu, Dezheng Dong and Changhui Mao. Their work appears in journals such as ACS Chemical Biology, Nature Communications, Proceedings of the National Academy of Sciences, Evidence-based Complementary and Alternative Medicine and Journal of Zhejiang University SCIENCE B.

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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