Ye Wang

93 papers receiving 1.9k citations

Peers

Ye Wang
Comparison fields: 5 of 143
  • Neurology 208
  • Developmental Neuroscience 74
  • Genetics 170
  • Condensed Matter Physics 159
  • Radiology, Nuclear Medicine and Imaging 268
Replace Yasuyuki Kimura with:
Yasuyuki Kimura Japan
Hiroki Iida Japan
Takashi Morishita Japan
Stanley T. Fricke United States
Livia C. Hool Australia
Toshiyuki Watanabe Japan
Mary Fowkes United States
Paul Larson United States
Jin‐Sung Park South Korea
Seong‐Woon Yu South Korea
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Citations per field
00.5×8.8×
Yasuyuki Kimura · 1×
Citations per year

Countries citing papers authored by Ye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008219
2 2013161
3 2019100
4 201498
5 201886
6 201663
7 199361
8 200956
9 201145
10 202139
11 202038
12 201738
13 201438
14
Inhibition of VEGF expression and corneal neovascularization by shRNA targeting HIF-1α in a mouse model of closed eye contact lens wear.
201238
15 201536
16 201036
17
Inhibitory effects of polysaccharide extract from Spirulina platensis on corneal neovascularization.
200935
18 201034
19 201834
20 201633

About Ye Wang

Ye Wang is a scholar working on Cognitive Neuroscience, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Surgery, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Corneal Surgery and Treatments (10 papers), Neuroscience and Neuropharmacology Research (6 papers), Corneal surgery and disorders (6 papers), Functional Brain Connectivity Studies (5 papers), Fatty Acid Research and Health (5 papers), Nerve injury and regeneration (4 papers) and Transcranial Magnetic Stimulation Studies (4 papers). The work is most often cited by research in Neurology (208 citations), Developmental Neuroscience (74 citations), Genetics (170 citations), Condensed Matter Physics (159 citations) and Radiology, Nuclear Medicine and Imaging (268 citations). Ye Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guangqian Zhou, Yubin Deng, Lixin Xie, Peng Chen, Jue Zhang, Yilong Hao, Maojun Wang, Wengang Wu, Donna F. Vine and Spencer D. Proctor. Their work appears in journals such as Frontiers in Endocrinology, European Journal of Neuroscience, Behavior Research Methods, BMC Ophthalmology and Alcohol.

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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