Can‐E Tang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Otorhinolaryngology top 10%
Papers in
-
- Cancer-related molecular mechanisms research 3
-
- RNA modifications and cancer 5
- Cancer-related gene regulation 4
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 3
- Co-authors
- Zhi‐Qiang Xiao (11 shared papers)Zhuchu Chen (11 shared papers)Pengfei Zhang (8 shared papers)Hong Liang Yi (9 shared papers)Fang Peng (7 shared papers)Maoyu Li (7 shared papers)Jianling Li (6 shared papers)Fanyan Luo (12 shared papers)
- Journals
- Medical Oncology (2 papers)Cancer Research (2 papers)Journal of Cellular Biochemistry (2 papers)Frontiers in Genetics (1 paper)Journal of Cellular and Molecular Medicine (1 paper)
- Partner nations
- ChinaHong KongSaudi Arabia
In The Last Decade
Can‐E Tang
37 papers receiving 787 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 228
- Otorhinolaryngology 28
- Molecular Biology 448
- Oncology 136
- Biological Psychiatry 8
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 155 | |
| 2 | 2016 | 91 | |
| 3 | 2023 | 42 | |
| 4 | 2009 | 42 | |
| 5 | 2018 | 42 | |
| 6 | 2019 | 42 | |
| 7 | 2018 | 41 | |
| 8 | 2010 | 35 | |
| 9 | 2018 | 34 | |
| 10 | 2020 | 30 | |
| 11 | 2010 | 29 | |
| 12 | 2020 | 24 | |
| 13 | 2011 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2023 | 17 | |
| 16 | 2008 | 17 | |
| 17 | 2013 | 14 | |
| 18 | 2010 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2012 | 11 |
About Can‐E Tang
Can‐E Tang is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Spectroscopy, having authored 37 papers that have together received 794 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related gene regulation (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers), Galectins and Cancer Biology (3 papers), Epigenetics and DNA Methylation (3 papers), Peptidase Inhibition and Analysis (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (228 citations), Otorhinolaryngology (28 citations), Molecular Biology (448 citations), Oncology (136 citations) and Biological Psychiatry (8 citations). Can‐E Tang has collaborated with scholars based in China, Hong Kong and Saudi Arabia. Frequent co-authors include Zhi‐Qiang Xiao, Zhuchu Chen, Pengfei Zhang, Hong Liang Yi, Fang Peng, Maoyu Li, Jianling Li, Fanyan Luo, Bin Yi and Xia Li. Their work appears in journals such as Medical Oncology, Cancer Research, Journal of Cellular Biochemistry, Frontiers in Genetics and Journal of Cellular and Molecular Medicine.
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.