Xiang Cheng
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Circular RNAs in diseases 7
- RNA Research and Splicing 7
- Extracellular vesicles in disease 3
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 4
- Co-authors
- Jianbing Qin (20 shared papers)Guohua Jin (18 shared papers)Xinhua Zhang (15 shared papers)Meiling Tian (11 shared papers)Xin Yi (2 shared papers)Haoming Li (8 shared papers)Wen Li (12 shared papers)Masami Niwa (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Neurochemical Research (2 papers)PLoS ONE (2 papers)In Vitro Cellular & Developmental Biology - Animal (2 papers)APOPTOSIS (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiang Cheng
34 papers receiving 643 citations
Peers
Comparison fields: 5 of 98
- Developmental Neuroscience 93
- Biological Psychiatry 34
- Neurology 81
- Cancer Research 129
- Aging 10
Countries citing papers authored by Xiang Cheng
This map shows the geographic impact of Xiang Cheng'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 Xiang Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Cheng more than expected).
Fields of papers citing papers by Xiang Cheng
This network shows the impact of papers produced by Xiang Cheng. 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 Xiang Cheng. The network helps show where Xiang Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang Cheng, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 104 | |
| 2 | 2015 | 96 | |
| 3 | 2019 | 61 | |
| 4 | 2014 | 49 | |
| 5 | 2013 | 29 | |
| 6 | 2014 | 26 | |
| 7 | 2011 | 26 | |
| 8 | 2017 | 24 | |
| 9 | 2017 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2024 | 9 |
About Xiang Cheng
Xiang Cheng is a scholar working on Molecular Biology, Cancer Research, Developmental Neuroscience, Cellular and Molecular Neuroscience and Epidemiology, having authored 34 papers that have together received 655 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (4 papers), Extracellular vesicles in disease (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Developmental Neuroscience (93 citations), Biological Psychiatry (34 citations), Neurology (81 citations), Cancer Research (129 citations) and Aging (10 citations). Xiang Cheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianbing Qin, Guohua Jin, Xinhua Zhang, Meiling Tian, Xin Yi, Haoming Li, Wen Li, Masami Niwa, Daisuke Watanabe and Nobutaka Hanagata. Their work appears in journals such as Journal of Biological Chemistry, Neurochemical Research, PLoS ONE, In Vitro Cellular & Developmental Biology - Animal and APOPTOSIS.
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.