Dingyang Liu
Impact in
- Developmental Neuroscience top 10%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Spinal Cord Injury Research 10
- Genetics 9
- Glioma Diagnosis and Treatment 7
- Co-authors
- Xing Li (12 shared papers)Yannan Zhao (5 shared papers)Zhifeng Xiao (5 shared papers)Bing Chen (3 shared papers)Jian Hua Yuan (8 shared papers)Jianwu Dai (3 shared papers)Sufang Han (2 shared papers)Qing Liu (4 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (2 papers)Biomaterials Science (2 papers)Advanced Healthcare Materials (2 papers)Theranostics (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Dingyang Liu
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Developmental Neuroscience 58
- Cancer Research 169
- Pathology and Forensic Medicine 205
- Cellular and Molecular Neuroscience 217
- Genetics 109
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2022 | 102 | |
| 3 | 2017 | 79 | |
| 4 | 2016 | 73 | |
| 5 | 2014 | 71 | |
| 6 | 2020 | 59 | |
| 7 | 2019 | 39 | |
| 8 | 2021 | 31 | |
| 9 | 2019 | 28 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 23 | |
| 12 | 2020 | 19 | |
| 13 | 2021 | 19 | |
| 14 | 2016 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2024 | 15 | |
| 20 | 2019 | 14 |
About Dingyang Liu
Dingyang Liu is a scholar working on Pathology and Forensic Medicine, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Psychiatry and Mental health, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (10 papers), Nerve injury and regeneration (10 papers), Epilepsy research and treatment (8 papers), Glioma Diagnosis and Treatment (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Functional Brain Connectivity Studies (5 papers), RNA modifications and cancer (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Developmental Neuroscience (58 citations), Cancer Research (169 citations), Pathology and Forensic Medicine (205 citations), Cellular and Molecular Neuroscience (217 citations) and Genetics (109 citations). Dingyang Liu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xing Li, Yannan Zhao, Zhifeng Xiao, Bing Chen, Jian Hua Yuan, Jianwu Dai, Sufang Han, Qing Liu, Yiwei Liao and Zhuanyi Yang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Biomaterials Science, Advanced Healthcare Materials, Theranostics and Frontiers in Oncology.
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.