Bing Yang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 5%
- Immunotherapy and Immune Responses
Papers in
-
- Epigenetics and DNA Methylation 14
- RNA modifications and cancer 10
- RNA Research and Splicing 7
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 6
- Co-authors
- David F. Jarrard (35 shared papers)Wei Huang (14 shared papers)Matthew Truong (5 shared papers)Nathan Damaschke (10 shared papers)B. Jack Longley (4 shared papers)Yongsheng Ma (3 shared papers)Jianqiang Wu (3 shared papers)Sachin Bhusari (5 shared papers)
- Journals
- PLoS ONE (7 papers)The Journal of Urology (6 papers)Frontiers in Pharmacology (5 papers)Oncotarget (5 papers)Cancer Research (4 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Bing Yang
124 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 535
- Immunology 416
- Molecular Biology 1.3k
- Oncology 358
- Geriatrics and Gerontology 41
Countries citing papers authored by Bing Yang
This map shows the geographic impact of Bing 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 Bing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Yang more than expected).
Fields of papers citing papers by Bing Yang
This network shows the impact of papers produced by Bing 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 Bing Yang. The network helps show where Bing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 239 | |
| 2 | 2021 | 104 | |
| 3 | 2012 | 96 | |
| 4 | 2014 | 71 | |
| 5 | 2015 | 68 | |
| 6 | 2019 | 65 | |
| 7 | 2020 | 65 | |
| 8 | 2019 | 60 | |
| 9 | 2017 | 56 | |
| 10 | 2006 | 56 | |
| 11 | 2014 | 55 | |
| 12 | 2012 | 54 | |
| 13 | 2017 | 54 | |
| 14 | 2011 | 53 | |
| 15 | 2019 | 51 | |
| 16 | 2020 | 47 | |
| 17 | 2013 | 46 | |
| 18 | 2018 | 46 | |
| 19 | 2023 | 43 | |
| 20 | 2013 | 42 |
About Bing Yang
Bing Yang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 127 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (14 papers), Cancer-related molecular mechanisms research (13 papers), Prostate Cancer Treatment and Research (12 papers), RNA modifications and cancer (10 papers), Immunotherapy and Immune Responses (8 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), RNA Research and Splicing (7 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (535 citations), Immunology (416 citations), Molecular Biology (1.3k citations), Oncology (358 citations) and Geriatrics and Gerontology (41 citations). Bing Yang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include David F. Jarrard, Wei Huang, Matthew Truong, Nathan Damaschke, B. Jack Longley, Yongsheng Ma, Jianqiang Wu, Sachin Bhusari, Shannon Reagan‐Shaw and Sean M. O’Herrin. Their work appears in journals such as PLoS ONE, The Journal of Urology, Frontiers in Pharmacology, Oncotarget and Cancer 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.