Dinglan Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Oncology top 10%
- CAR-T cell therapy research
Papers in
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- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 4
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- Prostate Cancer Treatment and Research 7
- Co-authors
- Franky Leung Chan (20 shared papers)Shan Yu (13 shared papers)Yuliang Wang (15 shared papers)Chi‐Fai Ng (15 shared papers)Zhu Wang (12 shared papers)Chang Zou (8 shared papers)Zhenyu Xu (3 shared papers)Xiaoqiang Yao (2 shared papers)
- Journals
- Oncogene (6 papers)Stem Cell Research & Therapy (3 papers)The Journal of Pathology (3 papers)Journal for ImmunoTherapy of Cancer (3 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dinglan Wu
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 319
- Oncology 235
- Molecular Biology 557
- Pulmonary and Respiratory Medicine 200
- Genetics 165
Countries citing papers authored by Dinglan Wu
This map shows the geographic impact of Dinglan Wu'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 Dinglan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinglan Wu more than expected).
Fields of papers citing papers by Dinglan Wu
This network shows the impact of papers produced by Dinglan Wu. 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 Dinglan Wu. The network helps show where Dinglan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dinglan Wu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 112 | |
| 2 | 2023 | 90 | |
| 3 | 2008 | 89 | |
| 4 | 2014 | 77 | |
| 5 | 2014 | 59 | |
| 6 | 2018 | 54 | |
| 7 | 2018 | 47 | |
| 8 | 2016 | 44 | |
| 9 | 2018 | 42 | |
| 10 | 2018 | 42 | |
| 11 | 2015 | 40 | |
| 12 | 2019 | 39 | |
| 13 | 2018 | 38 | |
| 14 | 2023 | 37 | |
| 15 | 2019 | 35 | |
| 16 | 2012 | 35 | |
| 17 | 2019 | 33 | |
| 18 | 2017 | 27 | |
| 19 | 2018 | 26 | |
| 20 | 2021 | 24 |
About Dinglan Wu
Dinglan Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Cellular and Molecular Neuroscience and Oncology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Estrogen and related hormone effects (6 papers), Circular RNAs in diseases (6 papers), Nuclear Receptors and Signaling (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (319 citations), Oncology (235 citations), Molecular Biology (557 citations), Pulmonary and Respiratory Medicine (200 citations) and Genetics (165 citations). Dinglan Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Franky Leung Chan, Shan Yu, Yuliang Wang, Chi‐Fai Ng, Zhu Wang, Chang Zou, Zhenyu Xu, Xiaoqiang Yao, Jiayi Zhou and Zhenyu Xu. Their work appears in journals such as Oncogene, Stem Cell Research & Therapy, The Journal of Pathology, Journal for ImmunoTherapy of Cancer and Cancer Letters.
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.