Guang Yang
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- Sphingolipid Metabolism and Signaling
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
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- Circular RNAs in diseases 13
- Extracellular vesicles in disease 5
- Retinoids in leukemia and cellular processes 4
- Sphingolipid Metabolism and Signaling 4
-
- Cancer-related molecular mechanisms research 15
- MicroRNA in disease regulation 15
- Cancer, Hypoxia, and Metabolism 7
- Co-authors
- Fahumiya Samad (5 shared papers)Jacek Bielawski (3 shared papers)Yusuf A. Hannun (3 shared papers)Leylla Badeanlou (3 shared papers)Shiguang Zhao (16 shared papers)Kelly Hester (1 shared paper)Ilgiz Gareev (18 shared papers)Amanda J. Roberts (1 shared paper)
- Journals
- PLoS ONE (6 papers)Molecular Biology Reports (3 papers)Advanced Materials (3 papers)Oncotarget (3 papers)Frontiers in Medicine (3 papers)
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Guang Yang
127 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 951
- Molecular Biology 1.6k
- Genetics 199
- Biochemistry 105
- Epidemiology 424
Countries citing papers authored by Guang Yang
This map shows the geographic impact of Guang 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 Guang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Yang more than expected).
Fields of papers citing papers by Guang Yang
This network shows the impact of papers produced by Guang 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 Guang Yang. The network helps show where Guang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guang 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 257 | |
| 2 | 2006 | 245 | |
| 3 | 2019 | 185 | |
| 4 | 2017 | 176 | |
| 5 | 2013 | 161 | |
| 6 | 2011 | 135 | |
| 7 | 2008 | 130 | |
| 8 | 2013 | 101 | |
| 9 | 2021 | 89 | |
| 10 | 2012 | 85 | |
| 11 | 2011 | 78 | |
| 12 | 2015 | 64 | |
| 13 | 2014 | 59 | |
| 14 | 2015 | 59 | |
| 15 | 2020 | 56 | |
| 16 | 2014 | 53 | |
| 17 | 2011 | 53 | |
| 18 | 2014 | 52 | |
| 19 | 2013 | 50 | |
| 20 | 2013 | 50 |
About Guang Yang
Guang Yang is a scholar working on Molecular Biology, Cancer Research, Neurology, Surgery and Pulmonary and Respiratory Medicine, having authored 136 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (15 papers), Circular RNAs in diseases (13 papers), Cancer, Hypoxia, and Metabolism (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Extracellular vesicles in disease (5 papers), Retinoids in leukemia and cellular processes (4 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Cancer Research (951 citations), Molecular Biology (1.6k citations), Genetics (199 citations), Biochemistry (105 citations) and Epidemiology (424 citations). Guang Yang has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Fahumiya Samad, Jacek Bielawski, Yusuf A. Hannun, Leylla Badeanlou, Shiguang Zhao, Kelly Hester, Ilgiz Gareev, Amanda J. Roberts, Ozal Beylerli and Yaohua Liu. Their work appears in journals such as PLoS ONE, Molecular Biology Reports, Advanced Materials, Oncotarget and Frontiers in 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.