Dabei Tang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Protease and Inhibitor Mechanisms
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- HER2/EGFR in Cancer Research
Papers in
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- S100 Proteins and Annexins 1
- Oncology 5
- Co-authors
- Shanqi Xu (4 shared papers)Qingyuan Zhang (3 shared papers)Wenhui Zhao (4 shared papers)Shu Zhao (6 shared papers)Qingyuan Zhang (5 shared papers)Jingxuan Wang (8 shared papers)Wenjie Ma (7 shared papers)Ying Song (6 shared papers)
- Journals
- Medical Oncology (3 papers)PLoS ONE (2 papers)Journal of Clinical Oncology (1 paper)Oncology Reports (1 paper)Clinical Breast Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Dabei Tang
24 papers receiving 554 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 244
- Oncology 128
- Molecular Biology 264
- Immunology and Allergy 16
- Genetics 69
Countries citing papers authored by Dabei Tang
This map shows the geographic impact of Dabei Tang'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 Dabei Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dabei Tang more than expected).
Fields of papers citing papers by Dabei Tang
This network shows the impact of papers produced by Dabei Tang. 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 Dabei Tang. The network helps show where Dabei Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dabei Tang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 118 | |
| 2 | 2012 | 76 | |
| 3 | 2015 | 59 | |
| 4 | 2013 | 48 | |
| 5 | 2013 | 39 | |
| 6 | 2013 | 27 | |
| 7 | 2014 | 27 | |
| 8 | 2022 | 24 | |
| 9 | 2015 | 24 | |
| 10 | 2021 | 21 | |
| 11 | 2010 | 16 | |
| 12 | Apatinib-induced NF-κB inactivation sensitizes triple-negative breast cancer cells to doxorubicin. | 2020 | 14 |
| 13 | 2021 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 2011 | 8 | |
| 16 | 2024 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 3 |
About Dabei Tang
Dabei Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 25 papers that have together received 558 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (2 papers), Chemotherapy-related skin toxicity (2 papers), Cell Adhesion Molecules Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Cancer-related molecular mechanisms research (2 papers), Ferroptosis and cancer prognosis (1 paper), S100 Proteins and Annexins (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Cancer Research (244 citations), Oncology (128 citations), Molecular Biology (264 citations), Immunology and Allergy (16 citations) and Genetics (69 citations). Dabei Tang has collaborated with scholars based in China and United States. Frequent co-authors include Shanqi Xu, Qingyuan Zhang, Wenhui Zhao, Shu Zhao, Qingyuan Zhang, Jingxuan Wang, Wenjie Ma, Ying Song, Hong Zhao and Jincai Wang. Their work appears in journals such as Medical Oncology, PLoS ONE, Journal of Clinical Oncology, Oncology Reports and Clinical Breast Cancer.
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.