Bing Su
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
-
- Circular RNAs in diseases 4
- RNA Research and Splicing 3
- RNA modifications and cancer 3
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 6
- Co-authors
- Rui Zhang (5 shared papers)Haikuo Tang (1 shared paper)Irwin H. Gelman (6 shared papers)Jianping Zhang (1 shared paper)Zhiyuan Wu (1 shared paper)Lihua Tang (2 shared papers)Wei Zhang (1 shared paper)Yahao Bu (2 shared papers)
- Journals
- BioMed Research International (4 papers)PLoS ONE (4 papers)BMC Genomics (2 papers)Journal of Biological Chemistry (2 papers)Cancer (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bing Su
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Cancer Research 813
- Molecular Biology 1.0k
- Cell Biology 93
- Rheumatology 72
- Endocrinology 24
Countries citing papers authored by Bing Su
This map shows the geographic impact of Bing Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Su more than expected).
Fields of papers citing papers by Bing Su
This network shows the impact of papers produced by Bing Su. 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 Su. The network helps show where Bing Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Su, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 185 | |
| 2 | 2013 | 147 | |
| 3 | 2013 | 123 | |
| 4 | 2015 | 107 | |
| 5 | 2009 | 102 | |
| 6 | 2015 | 87 | |
| 7 | 2009 | 86 | |
| 8 | 2009 | 73 | |
| 9 | 2006 | 67 | |
| 10 | 2009 | 49 | |
| 11 | 2014 | 45 | |
| 12 | 2014 | 45 | |
| 13 | 2015 | 39 | |
| 14 | 2009 | 34 | |
| 15 | 2008 | 27 | |
| 16 | 2010 | 24 | |
| 17 | 2012 | 23 | |
| 18 | 2011 | 23 | |
| 19 | 2011 | 16 | |
| 20 | 2014 | 15 |
About Bing Su
Bing Su is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), RNA Research and Splicing (3 papers), Cellular Mechanics and Interactions (3 papers), Prostate Cancer Treatment and Research (3 papers), RNA modifications and cancer (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cancer Research (813 citations), Molecular Biology (1.0k citations), Cell Biology (93 citations), Rheumatology (72 citations) and Endocrinology (24 citations). Bing Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rui Zhang, Haikuo Tang, Irwin H. Gelman, Jianping Zhang, Zhiyuan Wu, Lihua Tang, Wei Zhang, Yahao Bu, Tao Zhang and Liling Li. Their work appears in journals such as BioMed Research International, PLoS ONE, BMC Genomics, Journal of Biological Chemistry and Cancer.
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.