Can‐E Tang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
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- RNA modifications and cancer 5
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 3
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- MicroRNA in disease regulation 5
- Co-authors
- Zhi‐Qiang Xiao (13 shared papers)Zhuchu Chen (13 shared papers)Fang Peng (8 shared papers)Hong Yi (10 shared papers)Pengfei Zhang (8 shared papers)Maoyu Li (7 shared papers)Jianling Li (6 shared papers)Fanyan Luo (11 shared papers)
In The Last Decade
Can‐E Tang
36 papers receiving 565 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 171
- Otorhinolaryngology 31
- Molecular Biology 386
- Oncology 122
- Cardiology and Cardiovascular Medicine 63
Countries citing papers authored by Can‐E Tang
This map shows the geographic impact of Can‐E 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 Can‐E Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can‐E Tang more than expected).
Fields of papers citing papers by Can‐E Tang
This network shows the impact of papers produced by Can‐E 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 Can‐E Tang. The network helps show where Can‐E Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can‐E 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 153 | |
| 2 | 2018 | 40 | |
| 3 | 2009 | 37 | |
| 4 | 2010 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2010 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 22 | |
| 9 | 2011 | 18 | |
| 10 | 2018 | 17 | |
| 11 | 2008 | 15 | |
| 12 | 2012 | 15 | |
| 13 | 2010 | 14 | |
| 14 | 2013 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2012 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2015 | 9 | |
| 20 | Kank1 reexpression induced by 5-Aza-2'-deoxycytidine suppresses nasopharyngeal carcinoma cell proliferation and promotes apoptosis. | 2015 | 9 |
About Can‐E Tang
Can‐E Tang is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Spectroscopy, having authored 36 papers that have together received 571 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), MicroRNA in disease regulation (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Ubiquitin and proteasome pathways (4 papers), Galectins and Cancer Biology (3 papers), Cancer-related gene regulation (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cancer Research (171 citations), Otorhinolaryngology (31 citations), Molecular Biology (386 citations), Oncology (122 citations) and Cardiology and Cardiovascular Medicine (63 citations). Can‐E Tang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Zhi‐Qiang Xiao, Zhuchu Chen, Fang Peng, Hong Yi, Pengfei Zhang, Maoyu Li, Jianling Li, Fanyan Luo, Bin Yi and Cui Li. Their work appears in journals such as Journal of Cellular Biochemistry, Medical Oncology, Oncology Reports, Journal of Proteome Research and Frontiers in Immunology.
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.