Dongliang Wang
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 11
- Cancer-related molecular mechanisms research 8
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- Genetic factors in colorectal cancer 11
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- Ferroptosis and cancer prognosis 10
- Molecular Biology top 10%
- RNA modifications and cancer 11
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 8
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- Statistical Methods and Inference 12
- Statistical Methods and Bayesian Inference 9
- Co-authors
- Sheng‐Dan JiangLi‐Yang DaiYuxuan XuWenhua LingMin XiaDan LiYan XiaoLei Wang
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (7 papers)Journal of Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dongliang Wang
245 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 189
- Cancer Research 362
- Pathology and Forensic Medicine 324
- Pulmonary and Respiratory Medicine 456
- Molecular Biology 954
- Neurology 110
Countries citing papers authored by Dongliang Wang
This map shows the geographic impact of Dongliang 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 Dongliang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongliang Wang more than expected).
Fields of papers citing papers by Dongliang Wang
This network shows the impact of papers produced by Dongliang 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 Dongliang Wang. The network helps show where Dongliang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dongliang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 22 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 4 | |
| 12 | 2021 | 5 | |
| 13 | 2020 | 24 | |
| 14 | 2020 | 15 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 11 | |
| 17 | 2017 | 39 | |
| 18 | 2012 | 4 | |
| 19 | 2007 | 143 | |
| 20 | Intelligent Computer Assisted Instruction in a Distant Cooperative Learning Environment | 1995 | 1 |
About Dongliang Wang
Dongliang Wang is a scholar working on Statistics and Probability, Cancer Research and Pathology and Forensic Medicine, having authored 261 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Cancer Genomics and Diagnostics (11 papers), RNA modifications and cancer (11 papers), Genetic factors in colorectal cancer (11 papers), Ferroptosis and cancer prognosis (10 papers), Statistical Methods and Bayesian Inference (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Cancer Research (362 citations), Pathology and Forensic Medicine (324 citations) and Pulmonary and Respiratory Medicine (456 citations). Dongliang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sheng‐Dan Jiang, Li‐Yang Dai, Yuxuan Xu, Wenhua Ling, Min Xia, Dan Li, Yan Xiao, Lei Wang, Tianru Jin and Kang Li. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Journal of Neuroscience.
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.