Dingyang Liu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Developmental Neuroscience top 10%
Papers in
-
- Nerve injury and regeneration 9
- Co-authors
- Xing Li (12 shared papers)Yannan Zhao (5 shared papers)Zhifeng Xiao (5 shared papers)Bing Chen (3 shared papers)Qing Liu (5 shared papers)Jianwu Dai (3 shared papers)Sufang Han (2 shared papers)Yiwei Liao (4 shared papers)
- Journals
- Theranostics (2 papers)Advanced Healthcare Materials (2 papers)Biomaterials (2 papers)Frontiers in Oncology (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Dingyang Liu
60 papers receiving 876 citations
Peers
Comparison fields: 5 of 107
- Cancer Research 197
- Developmental Neuroscience 54
- Cellular and Molecular Neuroscience 214
- Pathology and Forensic Medicine 201
- Genetics 113
Countries citing papers authored by Dingyang Liu
This map shows the geographic impact of Dingyang Liu'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 Dingyang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingyang Liu more than expected).
Fields of papers citing papers by Dingyang Liu
This network shows the impact of papers produced by Dingyang Liu. 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 Dingyang Liu. The network helps show where Dingyang Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingyang Liu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2022 | 88 | |
| 3 | 2016 | 73 | |
| 4 | 2014 | 71 | |
| 5 | 2017 | 70 | |
| 6 | 2020 | 53 | |
| 7 | 2019 | 34 | |
| 8 | 2021 | 30 | |
| 9 | 2019 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2019 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2011 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2019 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2011 | 11 | |
| 19 | 2013 | 11 | |
| 20 | 2021 | 11 |
About Dingyang Liu
Dingyang Liu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Pathology and Forensic Medicine and Psychiatry and Mental health, having authored 63 papers that have together received 885 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Epilepsy research and treatment (10 papers), Nerve injury and regeneration (9 papers), Spinal Cord Injury Research (9 papers), Meningioma and schwannoma management (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neurofibromatosis and Schwannoma Cases (5 papers) and Functional Brain Connectivity Studies (5 papers). The work is most often cited by research in Cancer Research (197 citations), Developmental Neuroscience (54 citations), Cellular and Molecular Neuroscience (214 citations), Pathology and Forensic Medicine (201 citations) and Genetics (113 citations). Dingyang Liu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xing Li, Yannan Zhao, Zhifeng Xiao, Bing Chen, Qing Liu, Jianwu Dai, Sufang Han, Yiwei Liao, Jian Yuan and Zhuanyi Yang. Their work appears in journals such as Theranostics, Advanced Healthcare Materials, Biomaterials, Frontiers in Oncology and European Journal of Nuclear Medicine and Molecular Imaging.
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.