Shaohui Wang

155 papers receiving 5.1k citations

Shaohui Wang's Hit Papers

Molecular and cellular dynamics of the developing human neocortex 2025 · 40 citations
400Years since publication10203040

Peers

Shaohui Wang
Comparison fields: 5 of 135
  • Geriatrics and Gerontology 386
  • Aging 123
  • Developmental Neuroscience 212
  • Molecular Biology 2.7k
  • Neurology 265
Replace Rammohan V. Rao with:
Rammohan V. Rao United States
Mariusz Karbowski United States
Andreas S. Reichert Germany
Takuji Shirasawa Japan
Birgit Schilling United States
Jerzy Duszyński Poland
Christos Chinopoulos Hungary
Kim A. Heidenreich United States
Naotada Ishihara Japan
György Szabadkai Italy
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Citations per field
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Rammohan V. Rao · 1×
Citations per year

Countries citing papers authored by Shaohui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007210
2 2015195
3 2012186
4 1998144
5 2020141
6 2012138
7 2010133
8 2012127
9 2011111
10 2012109
11 2012103
12 2011102
13 201298
14 201196
15 201292
16 201087
17 201884
18 201184
19 202382
20 201275

About Shaohui Wang

Shaohui Wang is a scholar working on Molecular Biology, Physiology, Plant Science, Pharmacology and Pharmacology, having authored 163 papers that have together received 5.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Nonlinear Waves and Solitons (8 papers), Plant-based Medicinal Research (8 papers), Nonlinear Photonic Systems (8 papers), Autophagy in Disease and Therapy (7 papers), Marine Sponges and Natural Products (7 papers), Ferroptosis and cancer prognosis (6 papers) and Erythropoietin and Anemia Treatment (6 papers). The work is most often cited by research in Geriatrics and Gerontology (386 citations), Aging (123 citations), Developmental Neuroscience (212 citations), Molecular Biology (2.7k citations) and Neurology (265 citations). Shaohui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kenneth Maiese, Zhao Zhong Chong, Yan Shang, Yan Shang, Daniel Romo, Eric T. Kool, Xiaomei Liao, Qinyun Du, Xianli Meng and Ling‐Qiang Zhu. Their work appears in journals such as Current Neurovascular Research, Frontiers in Pharmacology, Arabian Journal of Chemistry, Journal of Biological Chemistry and International Journal of Molecular Sciences.

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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