Su-Chun Zhang
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 11
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- Nerve injury and regeneration 5
- Neuroscience and Neural Engineering 5
- Genetics top 2%
- Molecular Biology top 2%
- Pluripotent Stem Cells Research 20
- CRISPR and Genetic Engineering 7
- Developmental Biology and Gene Regulation 5
- Epigenetics and DNA Methylation 3
- Hedgehog Signaling Pathway Studies 2
- Neurology top 5%
- Co-authors
- Xiaoqing ZhangJason P. WeickBaoyang HuXue Jun LiLixiang MaJames A. ThomsonJunying YuTimothy LaVaute
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Su-Chun Zhang
31 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 1.2k
- Cellular and Molecular Neuroscience 1.3k
- Genetics 440
- Molecular Biology 2.8k
- Neurology 291
Countries citing papers authored by Su-Chun Zhang
This map shows the geographic impact of Su-Chun Zhang'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-Chun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su-Chun Zhang more than expected).
Fields of papers citing papers by Su-Chun Zhang
This network shows the impact of papers produced by Su-Chun Zhang. 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-Chun Zhang. The network helps show where Su-Chun Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Su-Chun Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 44 | |
| 2 | 2017 | 95 | |
| 3 | 2016 | 285 | |
| 4 | 2015 | 21 | |
| 5 | 2015 | 39 | |
| 6 | 2014 | 128 | |
| 7 | 2011 | 14 | |
| 8 | 2010 | 356 | |
| 9 | 2009 | 32 | |
| 10 | 2009 | 22 | |
| 11 | 2007 | 266 | |
| 12 | 2007 | 138 | |
| 13 | 2007 | 12 | |
| 14 | 2007 | 24 | |
| 15 | 2006 | 43 | |
| 16 | 2006 | 39 | |
| 17 | 2004 | 244 | |
| 18 | 2002 | 45 | |
| 19 | 2002 | 11 | |
| 20 | 2001 | 77 |
About Su-Chun Zhang
Su-Chun Zhang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 31 papers that have together received 3.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (20 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), CRISPR and Genetic Engineering (7 papers), Nerve injury and regeneration (5 papers), Neuroscience and Neural Engineering (5 papers), Developmental Biology and Gene Regulation (5 papers), Epigenetics and DNA Methylation (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (1.3k citations) and Genetics (440 citations). Su-Chun Zhang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xiaoqing Zhang, Jason P. Weick, Baoyang Hu, Xue Jun Li, Lixiang Ma, James A. Thomson, Junying Yu, Timothy LaVaute, Matthew Pankratz and Ian D. Duncan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.
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.