Erbao Bian
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Hepatology top 5%
- Liver physiology and pathology
Papers in
-
- RNA Research and Splicing 14
- RNA modifications and cancer 12
- Epigenetics and DNA Methylation 12
- Circular RNAs in diseases 11
-
- Cancer-related molecular mechanisms research 25
- MicroRNA in disease regulation 17
- Co-authors
- Bing Zhao (31 shared papers)Cheng Huang (11 shared papers)Gang Zong (11 shared papers)Chunchun Ma (8 shared papers)Xiongwen Lv (11 shared papers)Taotao Ma (5 shared papers)Hongliang Wang (12 shared papers)Hui Tao (4 shared papers)
- Journals
- Frontiers in Oncology (5 papers)Journal of Cellular Physiology (4 papers)Cellular Signalling (4 papers)Journal of Experimental & Clinical Cancer Research (4 papers)Toxicology (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Erbao Bian
60 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 745
- Hepatology 168
- Molecular Biology 1.1k
- Genetics 75
- Epidemiology 241
Countries citing papers authored by Erbao Bian
This map shows the geographic impact of Erbao Bian'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 Erbao Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erbao Bian more than expected).
Fields of papers citing papers by Erbao Bian
This network shows the impact of papers produced by Erbao Bian. 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 Erbao Bian. The network helps show where Erbao Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Erbao Bian, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 114 | |
| 2 | 2016 | 105 | |
| 3 | 2014 | 96 | |
| 4 | 2015 | 90 | |
| 5 | 2011 | 75 | |
| 6 | 2016 | 72 | |
| 7 | 2013 | 69 | |
| 8 | 2018 | 68 | |
| 9 | 2019 | 57 | |
| 10 | 2016 | 57 | |
| 11 | 2013 | 56 | |
| 12 | 2014 | 43 | |
| 13 | 2014 | 40 | |
| 14 | 2018 | 38 | |
| 15 | 2020 | 28 | |
| 16 | 2017 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2020 | 26 | |
| 19 | 2017 | 25 | |
| 20 | 2013 | 23 |
About Erbao Bian
Erbao Bian is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Genetics, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (25 papers), MicroRNA in disease regulation (17 papers), RNA Research and Splicing (14 papers), RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (12 papers), Circular RNAs in diseases (11 papers), Liver physiology and pathology (5 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Cancer Research (745 citations), Hepatology (168 citations), Molecular Biology (1.1k citations), Genetics (75 citations) and Epidemiology (241 citations). Erbao Bian has collaborated with scholars based in China and United States. Frequent co-authors include Bing Zhao, Cheng Huang, Gang Zong, Chunchun Ma, Xiongwen Lv, Taotao Ma, Hongliang Wang, Hui Tao, Jun Li and Cheng Chang. Their work appears in journals such as Frontiers in Oncology, Journal of Cellular Physiology, Cellular Signalling, Journal of Experimental & Clinical Cancer Research and Toxicology.
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.