Aifa Tang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 10%
Papers in
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- Circular RNAs in diseases 6
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Renal and related cancers 3
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Yaoting Gui (13 shared papers)Zesong Li (10 shared papers)Zhiming Cai (15 shared papers)Xianxin Li (6 shared papers)Zhimao Jiang (6 shared papers)Jiongxian Ye (3 shared papers)Yonghua Han (3 shared papers)Yong Wang (2 shared papers)
- Journals
- PLoS ONE (4 papers)Cell Biology International (2 papers)Biochemical and Biophysical Research Communications (2 papers)Scientific Reports (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Aifa Tang
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 349
- Reproductive Medicine 73
- Molecular Biology 528
- Immunology 106
- Genetics 47
Countries citing papers authored by Aifa Tang
This map shows the geographic impact of Aifa 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 Aifa Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aifa Tang more than expected).
Fields of papers citing papers by Aifa Tang
This network shows the impact of papers produced by Aifa 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 Aifa Tang. The network helps show where Aifa Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aifa 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 231 | |
| 2 | 2011 | 92 | |
| 3 | 2019 | 58 | |
| 4 | 2021 | 44 | |
| 5 | 2014 | 39 | |
| 6 | 2017 | 38 | |
| 7 | 2020 | 38 | |
| 8 | 2011 | 34 | |
| 9 | 2007 | 32 | |
| 10 | 2020 | 29 | |
| 11 | 2012 | 28 | |
| 12 | 2015 | 27 | |
| 13 | 2011 | 24 | |
| 14 | 2021 | 21 | |
| 15 | 2019 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2016 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2012 | 17 | |
| 20 | 2012 | 16 |
About Aifa Tang
Aifa Tang is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Oncology, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Cancer-related molecular mechanisms research (5 papers), Sperm and Testicular Function (5 papers), Epigenetics and DNA Methylation (4 papers), Immunotherapy and Immune Responses (4 papers), RNA modifications and cancer (4 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Cancer Research (349 citations), Reproductive Medicine (73 citations), Molecular Biology (528 citations), Immunology (106 citations) and Genetics (47 citations). Aifa Tang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yaoting Gui, Zesong Li, Zhiming Cai, Xianxin Li, Zhimao Jiang, Jiongxian Ye, Yonghua Han, Yong Wang, Ruilin Yang and Jiahao Chen. Their work appears in journals such as PLoS ONE, Cell Biology International, Biochemical and Biophysical Research Communications, Scientific Reports and Cell Research.
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.