Tiangen Wu
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 4
- Ubiquitin and proteasome pathways 3
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- Cancer, Hypoxia, and Metabolism 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Stuart Bunting (2 shared papers)Robert B. Johnson (1 shared paper)Haoran Tang (5 shared papers)Roger J. Laham (1 shared paper)Jianyi Li (1 shared paper)Pamela S. Douglas (1 shared paper)Frank W. Sellke (1 shared paper)Kaori Sato (1 shared paper)
- Journals
- Journal of the American College of Cardiology (2 papers)Journal of Nanobiotechnology (2 papers)Trends in Endocrinology and Metabolism (1 paper)Cancer Letters (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Tiangen Wu
25 papers receiving 307 citations
Peers
Comparison fields: 5 of 43
- Cancer Research 60
- Hepatology 17
- Molecular Biology 156
- Biomaterials 17
- Biochemistry 9
Countries citing papers authored by Tiangen Wu
This map shows the geographic impact of Tiangen 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 Tiangen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiangen Wu more than expected).
Fields of papers citing papers by Tiangen Wu
This network shows the impact of papers produced by Tiangen 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 Tiangen Wu. The network helps show where Tiangen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiangen 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 87 | |
| 2 | 2019 | 42 | |
| 3 | 2024 | 27 | |
| 4 | 2023 | 20 | |
| 5 | 2021 | 17 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2024 | 11 | |
| 9 | 2023 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 7 | |
| 15 | Reduced glutathione ameliorates liver function, oxidative stress and inflammation after interventional therapy for hepatocellular carcinoma. | 2021 | 5 |
| 16 | 2025 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 3 |
About Tiangen Wu
Tiangen Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Pathology and Forensic Medicine, having authored 26 papers that have together received 309 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related molecular mechanisms research (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (60 citations), Hepatology (17 citations), Molecular Biology (156 citations), Biomaterials (17 citations) and Biochemistry (9 citations). Tiangen Wu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Stuart Bunting, Robert B. Johnson, Haoran Tang, Roger J. Laham, Jianyi Li, Pamela S. Douglas, Frank W. Sellke, Kaori Sato, Michael Simons and Yang Ke. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Nanobiotechnology, Trends in Endocrinology and Metabolism, Cancer Letters and Hepatology.
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.