Yi Tie
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
Papers in
-
- RNA Research and Splicing 10
- Circular RNAs in diseases 10
- RNA modifications and cancer 8
- Wnt/β-catenin signaling in development and cancer 2
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 13
- Co-authors
- Hanjiang Fu (19 shared papers)Xiaofei Zheng (20 shared papers)Zhixian Sun (13 shared papers)Jie Zhu (12 shared papers)Ruiyun Xing (11 shared papers)Fang Sun (2 shared papers)Yongge Wu (5 shared papers)Zheng Hu (7 shared papers)
- Journals
- FEBS Letters (4 papers)Oncology Reports (2 papers)Cellular Signalling (2 papers)Nucleic Acids Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yi Tie
27 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 2.1k
- Molecular Biology 2.5k
- Hepatology 76
- Immunology 169
- Oncology 190
Countries citing papers authored by Yi Tie
This map shows the geographic impact of Yi Tie'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 Yi Tie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Tie more than expected).
Fields of papers citing papers by Yi Tie
This network shows the impact of papers produced by Yi Tie. 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 Yi Tie. The network helps show where Yi Tie may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Tie, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 433 | |
| 2 | 2008 | 424 | |
| 3 | 2008 | 401 | |
| 4 | 2008 | 345 | |
| 5 | 2005 | 173 | |
| 6 | 2008 | 145 | |
| 7 | 2015 | 144 | |
| 8 | 2010 | 128 | |
| 9 | 2010 | 127 | |
| 10 | 2006 | 86 | |
| 11 | 2012 | 69 | |
| 12 | 2005 | 66 | |
| 13 | 2014 | 53 | |
| 14 | 2006 | 50 | |
| 15 | 2012 | 49 | |
| 16 | 2014 | 48 | |
| 17 | 2005 | 38 | |
| 18 | 2011 | 34 | |
| 19 | 2009 | 31 | |
| 20 | 2018 | 25 |
About Yi Tie
Yi Tie is a scholar working on Molecular Biology, Cancer Research, Oncology, Aerospace Engineering and Materials Chemistry, having authored 30 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (10 papers), Circular RNAs in diseases (10 papers), RNA modifications and cancer (8 papers), Aluminum Alloy Microstructure Properties (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (2.5k citations), Hepatology (76 citations), Immunology (169 citations) and Oncology (190 citations). Yi Tie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hanjiang Fu, Xiaofei Zheng, Zhixian Sun, Jie Zhu, Ruiyun Xing, Fang Sun, Yongge Wu, Zheng Hu, Qin Liu and Wei Kong. Their work appears in journals such as FEBS Letters, Oncology Reports, Cellular Signalling, Nucleic Acids Research and PLoS ONE.
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.