Su Wang
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neurogenesis and neuroplasticity mechanisms 11
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- Retinal Imaging and Analysis 5
- Plasma Applications and Diagnostics 4
- Radiation Dose and Imaging 3
- Co-authors
- Steven A. Goldman (15 shared papers)Maiken Nedergaard (7 shared papers)Abdellatif Benraiss (8 shared papers)Neeta Singh Roy (5 shared papers)Richard A. R. Fraser (4 shared papers)Takahiro Takano (3 shared papers)Xiaoning Han (2 shared papers)Catherine Harrison‐Restelli (3 shared papers)
- Journals
- Journal of Neuroscience (6 papers)PLoS ONE (3 papers)BMC Bioinformatics (2 papers)Cell Reports (2 papers)Translational Vision Science & Technology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Su Wang
120 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 180
- Developmental Neuroscience 923
- Cellular and Molecular Neuroscience 613
- Neurology 279
- Genetics 177
- Molecular Biology 1.1k
Countries citing papers authored by Su Wang
This map shows the geographic impact of Su 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 Su Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Wang more than expected).
Fields of papers citing papers by Su Wang
This network shows the impact of papers produced by Su 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 Su Wang. The network helps show where Su Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 493 | |
| 2 | 2000 | 465 | |
| 3 | 2007 | 419 | |
| 4 | 1999 | 216 | |
| 5 | 2017 | 216 | |
| 6 | 2016 | 162 | |
| 7 | 2000 | 158 | |
| 8 | 2008 | 137 | |
| 9 | 2014 | 128 | |
| 10 | 2019 | 123 | |
| 11 | 2014 | 113 | |
| 12 | 1998 | 105 | |
| 13 | 2023 | 105 | |
| 14 | 2018 | 99 | |
| 15 | 2015 | 98 | |
| 16 | 2022 | 86 | |
| 17 | 2016 | 83 | |
| 18 | 2013 | 71 | |
| 19 | 1998 | 70 | |
| 20 | 2005 | 67 |
About Su Wang
Su Wang is a scholar working on Developmental Neuroscience, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence and Genetics, having authored 123 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (11 papers), Retinal Imaging and Analysis (5 papers), Colorectal Cancer Screening and Detection (5 papers), Glioma Diagnosis and Treatment (4 papers), Plasma Applications and Diagnostics (4 papers), Biosensors and Analytical Detection (4 papers), Parallel Computing and Optimization Techniques (4 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Developmental Neuroscience (923 citations), Cellular and Molecular Neuroscience (613 citations), Neurology (279 citations), Genetics (177 citations) and Molecular Biology (1.1k citations). Su Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Steven A. Goldman, Maiken Nedergaard, Abdellatif Benraiss, Neeta Singh Roy, Richard A. R. Fraser, Takahiro Takano, Xiaoning Han, Catherine Harrison‐Restelli, Martha S. Windrem and William T. Couldwell. Their work appears in journals such as Journal of Neuroscience, PLoS ONE, BMC Bioinformatics, Cell Reports and Translational Vision Science & Technology.
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.