Ye Wang

96 papers receiving 2.0k citations

Peers

Ye Wang
Comparison fields: 5 of 141
  • Neurology 183
  • Developmental Neuroscience 67
  • Genetics 151
  • Condensed Matter Physics 161
  • Radiology, Nuclear Medicine and Imaging 204
Replace Masaki Kondo with:
Masaki Kondo Japan
Yasuyuki Kimura Japan
Hiroki Iida Japan
Takashi Morishita Japan
Julie G. Pilitsis United States
Stanley T. Fricke United States
Livia C. Hool Australia
Dongsheng Fan China
Benjamin F. Cox United Kingdom
Kenji Ohyama Japan
Ye Wang relative to Masaki Kondo Japan Masaki Kondo's profile →
Citations per field
00.5×5.2×
Masaki Kondo · 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 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008220
2 2013164
3 2019103
4 201499
5 201890
6 201665
7 199361
8 200956
9 201145
10 202141
11
Inhibition of VEGF expression and corneal neovascularization by shRNA targeting HIF-1α in a mouse model of closed eye contact lens wear.
201239
12 201439
13 202038
14 201738
15 201837
16 201036
17 201536
18
Inhibitory effects of polysaccharide extract from Spirulina platensis on corneal neovascularization.
200935
19 201034
20
Expression of senescence-related genes in human corneal endothelial cells.
200833

About Ye Wang

Ye Wang is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (4 papers), Fatty Acid Research and Health (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Memory and Neural Mechanisms (4 papers), Topic Modeling (3 papers) and Corneal surgery and disorders (3 papers). The work is most often cited by research in Neurology (183 citations), Developmental Neuroscience (67 citations), Genetics (151 citations), Condensed Matter Physics (161 citations) and Radiology, Nuclear Medicine and Imaging (204 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, Xiaowen Zhao, Kevin J. Chen, Bo Shen, Maojun Wang and Cheng P. Wen. Their work appears in journals such as Frontiers in Endocrinology, PLoS ONE, Behavior Research Methods, Alcohol and BMC Ophthalmology.

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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