Kang Yang
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
-
- RNA modifications and cancer 8
- Circular RNAs in diseases 6
- Signaling Pathways in Disease 5
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 11
- Co-authors
- Yun Bai (22 shared papers)Xingying Guan (15 shared papers)Kai Wang (10 shared papers)Xuedan Chen (8 shared papers)Gang Xiong (16 shared papers)Yuanyuan Wu (6 shared papers)Xueqing Xu (9 shared papers)Li‐Wen Hu (4 shared papers)
- Journals
- PLoS ONE (6 papers)Experimental Cell Research (3 papers)Medicine (3 papers)Journal of Laparoendoscopic & Advanced Surgical Techniques (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kang Yang
125 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 1.2k
- Molecular Biology 1.4k
- Oncology 284
- Nephrology 70
- Pharmacology 89
Countries citing papers authored by Kang Yang
This map shows the geographic impact of Kang Yang'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 Kang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Yang more than expected).
Fields of papers citing papers by Kang Yang
This network shows the impact of papers produced by Kang Yang. 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 Kang Yang. The network helps show where Kang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kang Yang, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 211 | |
| 2 | 2015 | 201 | |
| 3 | 2017 | 135 | |
| 4 | 2013 | 110 | |
| 5 | 2011 | 110 | |
| 6 | 2012 | 99 | |
| 7 | 2010 | 95 | |
| 8 | 2022 | 77 | |
| 9 | 2017 | 75 | |
| 10 | 2012 | 65 | |
| 11 | 2019 | 56 | |
| 12 | 2014 | 52 | |
| 13 | 2009 | 52 | |
| 14 | 2017 | 50 | |
| 15 | 2010 | 49 | |
| 16 | 2017 | 48 | |
| 17 | 2014 | 47 | |
| 18 | 2017 | 47 | |
| 19 | 2016 | 45 | |
| 20 | 2013 | 45 |
About Kang Yang
Kang Yang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 134 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), MicroRNA in disease regulation (11 papers), RNA modifications and cancer (8 papers), Ferroptosis and cancer prognosis (8 papers), Autophagy in Disease and Therapy (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Circular RNAs in diseases (6 papers) and Signaling Pathways in Disease (5 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.4k citations), Oncology (284 citations), Nephrology (70 citations) and Pharmacology (89 citations). Kang Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yun Bai, Xingying Guan, Kai Wang, Xuedan Chen, Gang Xiong, Yuanyuan Wu, Xueqing Xu, Li‐Wen Hu, Yan Liang and Hui Meng. Their work appears in journals such as PLoS ONE, Experimental Cell Research, Medicine, Journal of Laparoendoscopic & Advanced Surgical Techniques and Frontiers in Oncology.
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.