Tangwei Wu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Advanced biosensing and bioanalysis techniques
Papers in
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- Circular RNAs in diseases 7
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Signaling Pathways in Disease 2
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 7
- Co-authors
- Zhongxin Lu (15 shared papers)Shuiyi Liu (15 shared papers)Hui Hu (9 shared papers)Weiqun Chen (12 shared papers)Yong Ning (4 shared papers)Xiaoyi Li (7 shared papers)Deyong Kong (3 shared papers)Chao Zheng (4 shared papers)
- Journals
- Bioscience Reports (2 papers)International Journal of Medical Sciences (2 papers)Technology in Cancer Research & Treatment (2 papers)BMC Cancer (2 papers)Carcinogenesis (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Tangwei Wu
19 papers receiving 788 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 514
- Molecular Biology 576
- Pathology and Forensic Medicine 71
- Immunology 78
- Oncology 99
Countries citing papers authored by Tangwei Wu
This map shows the geographic impact of Tangwei 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 Tangwei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tangwei Wu more than expected).
Fields of papers citing papers by Tangwei Wu
This network shows the impact of papers produced by Tangwei 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 Tangwei Wu. The network helps show where Tangwei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tangwei 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 | 2019 | 215 | |
| 2 | 2016 | 133 | |
| 3 | 2019 | 71 | |
| 4 | 2014 | 70 | |
| 5 | 2015 | 62 | |
| 6 | 2019 | 53 | |
| 7 | 2019 | 51 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 13 | |
| 12 | A Cloud-aided RSA Signature Scheme for Sealing and Storing the Digital Evidences in Computer Forensics | 2012 | 12 |
| 13 | 2019 | 11 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2024 | 0 |
About Tangwei Wu
Tangwei Wu is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 803 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (7 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Cancer Mechanisms and Therapy (3 papers), Signaling Pathways in Disease (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (514 citations), Molecular Biology (576 citations), Pathology and Forensic Medicine (71 citations), Immunology (78 citations) and Oncology (99 citations). Tangwei Wu has collaborated with scholars based in China and United States. Frequent co-authors include Zhongxin Lu, Shuiyi Liu, Hui Hu, Weiqun Chen, Yong Ning, Xiaoyi Li, Deyong Kong, Chao Zheng, Zheqiong Tan and Zhenzhao Luo. Their work appears in journals such as Bioscience Reports, International Journal of Medical Sciences, Technology in Cancer Research & Treatment, BMC Cancer and Carcinogenesis.
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.