Chuyong Lin
Impact in
- Cancer Research top 1%
- 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
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
Papers in
-
- Wnt/β-catenin signaling in development and cancer 7
- RNA Research and Splicing 7
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 5
- Oncology 20
- Cancer Cells and Metastasis 7
- Co-authors
- Libing Song (48 shared papers)Jun Li (24 shared papers)Jueheng Wu (14 shared papers)Mengfeng Li (13 shared papers)Liping Ye (18 shared papers)Zhiqiang Wu (6 shared papers)Xin Zhang (9 shared papers)Aibin Liu (7 shared papers)
- Journals
- The Journal of Pathology (4 papers)Oncogene (4 papers)Nature Communications (3 papers)Journal of Clinical Investigation (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Chuyong Lin
60 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 1.3k
- Molecular Biology 2.0k
- Oncology 630
- Cell Biology 313
- Immunology 303
Countries citing papers authored by Chuyong Lin
This map shows the geographic impact of Chuyong Lin'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 Chuyong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuyong Lin more than expected).
Fields of papers citing papers by Chuyong Lin
This network shows the impact of papers produced by Chuyong Lin. 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 Chuyong Lin. The network helps show where Chuyong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuyong Lin, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 165 | |
| 2 | 2010 | 141 | |
| 3 | 2018 | 140 | |
| 4 | 2011 | 124 | |
| 5 | 2011 | 121 | |
| 6 | 2022 | 120 | |
| 7 | 2010 | 118 | |
| 8 | 2011 | 105 | |
| 9 | 2017 | 89 | |
| 10 | 2012 | 88 | |
| 11 | 2014 | 85 | |
| 12 | 2012 | 81 | |
| 13 | 2013 | 67 | |
| 14 | 2019 | 62 | |
| 15 | 2017 | 61 | |
| 16 | 2017 | 60 | |
| 17 | 2017 | 58 | |
| 18 | 2014 | 54 | |
| 19 | 2014 | 53 | |
| 20 | 2014 | 52 |
About Chuyong Lin
Chuyong Lin is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pathology and Forensic Medicine, having authored 60 papers that have together received 2.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Cancer Cells and Metastasis (7 papers), RNA Research and Splicing (7 papers), NF-κB Signaling Pathways (6 papers), Epigenetics and DNA Methylation (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.0k citations), Oncology (630 citations), Cell Biology (313 citations) and Immunology (303 citations). Chuyong Lin has collaborated with scholars based in China, United States and France. Frequent co-authors include Libing Song, Jun Li, Jueheng Wu, Mengfeng Li, Liping Ye, Zhiqiang Wu, Xin Zhang, Aibin Liu, Xianqiu Wu and Xi Lin. Their work appears in journals such as The Journal of Pathology, Oncogene, Nature Communications, Journal of Clinical Investigation and Oncotarget.
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.