Bing Han
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
Papers in
-
- RNA modifications and cancer 9
- Ubiquitin and proteasome pathways 6
- Oncology 28
- Cytokine Signaling Pathways and Interactions 5
- Co-authors
- Patrick Suppes (5 shared papers)Zhong‐Lin Lu (4 shared papers)Mingyao Liu (10 shared papers)Shaf Keshavjee (8 shared papers)Liqun Wu (7 shared papers)Honglei Yin (2 shared papers)Yunliang Wang (2 shared papers)Likun Zhuang (4 shared papers)
- Journals
- BMC Cancer (5 papers)Proceedings of the National Academy of Sciences (5 papers)Cell Death and Disease (5 papers)Shock (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bing Han
88 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 138
- Cancer Research 731
- Molecular Biology 1.1k
- Hepatology 116
- Oncology 340
- Immunology 226
Countries citing papers authored by Bing Han
This map shows the geographic impact of Bing Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Han more than expected).
Fields of papers citing papers by Bing Han
This network shows the impact of papers produced by Bing Han. 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 Han. The network helps show where Bing Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Han, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 215 | |
| 2 | 2016 | 163 | |
| 3 | 2019 | 102 | |
| 4 | 1997 | 100 | |
| 5 | 2007 | 84 | |
| 6 | 2016 | 77 | |
| 7 | 2013 | 76 | |
| 8 | 2011 | 72 | |
| 9 | 2006 | 66 | |
| 10 | 2005 | 64 | |
| 11 | 2007 | 61 | |
| 12 | 2012 | 58 | |
| 13 | 2017 | 51 | |
| 14 | 2018 | 49 | |
| 15 | 2012 | 49 | |
| 16 | 2021 | 48 | |
| 17 | 2011 | 47 | |
| 18 | 2017 | 44 | |
| 19 | 2010 | 42 | |
| 20 | 1998 | 42 |
About Bing Han
Bing Han is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (9 papers), MicroRNA in disease regulation (8 papers), Ferroptosis and cancer prognosis (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Ubiquitin and proteasome pathways (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Cancer Research (731 citations), Molecular Biology (1.1k citations), Hepatology (116 citations), Oncology (340 citations) and Immunology (226 citations). Bing Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Patrick Suppes, Zhong‐Lin Lu, Mingyao Liu, Shaf Keshavjee, Liqun Wu, Honglei Yin, Yunliang Wang, Likun Zhuang, Marco Mura and Thomas K. Waddell. Their work appears in journals such as BMC Cancer, Proceedings of the National Academy of Sciences, Cell Death and Disease, Shock and Oncotarget.
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.