Da Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
- Sexual Differentiation and Disorders
- RNA modifications and cancer
Papers in
-
- Circular RNAs in diseases 5
- Extracellular vesicles in disease 5
- Heat shock proteins research 2
- Epigenetics and DNA Methylation 1
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- MicroRNA in disease regulation 3
- Co-authors
- Jixian Liu (8 shared papers)Bon‐chu Chung (2 shared papers)Zhimin Mu (6 shared papers)Yuancai Xie (6 shared papers)Jingcheng Zhou (2 shared papers)Hao Wu (2 shared papers)Shanshan Mei (1 shared paper)Xiaoqiang Li (3 shared papers)
- Journals
- Journal of Cancer Research and Clinical Oncology (1 paper)Diabetes Research and Clinical Practice (1 paper)Molecular Therapy — Oncolytics (1 paper)Oncotarget (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Da Wu
14 papers receiving 530 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 221
- Molecular Biology 373
- Endocrinology, Diabetes and Metabolism 61
- Clinical Biochemistry 17
- Oncology 60
Countries citing papers authored by Da Wu
This map shows the geographic impact of Da 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 Da Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Wu more than expected).
Fields of papers citing papers by Da Wu
This network shows the impact of papers produced by Da 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 Da Wu. The network helps show where Da Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 144 | |
| 2 | 1991 | 72 | |
| 3 | 2021 | 61 | |
| 4 | 2019 | 57 | |
| 5 | 2016 | 49 | |
| 6 | 2021 | 40 | |
| 7 | 1992 | 30 | |
| 8 | 2017 | 29 | |
| 9 | 2018 | 17 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 1988 | 6 | |
| 13 | 2013 | 6 | |
| 14 | 2023 | 2 |
About Da Wu
Da Wu is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Surgery and Neurology, having authored 14 papers that have together received 538 indexed citations. Recurring topics across this work include Circular RNAs in diseases (5 papers), Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (3 papers), Heat shock proteins research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Metabolism and Genetic Disorders (1 paper) and Clusterin in disease pathology (1 paper). The work is most often cited by research in Cancer Research (221 citations), Molecular Biology (373 citations), Endocrinology, Diabetes and Metabolism (61 citations), Clinical Biochemistry (17 citations) and Oncology (60 citations). Da Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Jixian Liu, Bon‐chu Chung, Zhimin Mu, Yuancai Xie, Jingcheng Zhou, Hao Wu, Shanshan Mei, Xiaoqiang Li, Chao Zeng and Hao Wu. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Diabetes Research and Clinical Practice, Molecular Therapy — Oncolytics, Oncotarget and Frontiers in Cell and Developmental Biology.
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.