Bin Dong
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 2%
- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer-related gene regulation 7
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 4
- Oncology 27
- Cancer Cells and Metastasis 5
- Co-authors
- Zhongwu Li (21 shared papers)Chengchao Shou (12 shared papers)Yinghui Xu (13 shared papers)Jing Gao (15 shared papers)Robert H. Silverman (2 shared papers)Jianzhi Zhang (8 shared papers)Jiafu Ji (14 shared papers)Jian Wu (6 shared papers)
- Journals
- PLoS ONE (5 papers)Cancer Letters (4 papers)Cell Death and Disease (3 papers)Journal of Translational Medicine (3 papers)OncoTargets and Therapy (3 papers)
- Partner nations
- ChinaEthiopiaUnited States
In The Last Decade
Bin Dong
135 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 607
- Oncology 926
- Molecular Biology 1.7k
- Sensory Systems 99
- Immunology 318
Countries citing papers authored by Bin Dong
This map shows the geographic impact of Bin Dong'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 Bin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Dong more than expected).
Fields of papers citing papers by Bin Dong
This network shows the impact of papers produced by Bin Dong. 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 Bin Dong. The network helps show where Bin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Dong, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 188 | |
| 2 | 2005 | 156 | |
| 3 | 2010 | 152 | |
| 4 | 2016 | 145 | |
| 5 | 1994 | 137 | |
| 6 | 2018 | 86 | |
| 7 | 2015 | 59 | |
| 8 | 2007 | 52 | |
| 9 | 2017 | 52 | |
| 10 | 2015 | 51 | |
| 11 | 1999 | 50 | |
| 12 | 2005 | 50 | |
| 13 | 2009 | 49 | |
| 14 | 2008 | 48 | |
| 15 | 2018 | 48 | |
| 16 | 2014 | 47 | |
| 17 | 2019 | 47 | |
| 18 | 2011 | 45 | |
| 19 | 2022 | 43 | |
| 20 | 2016 | 43 |
About Bin Dong
Bin Dong is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 141 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related gene regulation (7 papers), Cancer Cells and Metastasis (5 papers), Gastric Cancer Management and Outcomes (5 papers), Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (5 papers), Genetic factors in colorectal cancer (5 papers), Ubiquitin and proteasome pathways (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (607 citations), Oncology (926 citations), Molecular Biology (1.7k citations), Sensory Systems (99 citations) and Immunology (318 citations). Bin Dong has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Zhongwu Li, Chengchao Shou, Yinghui Xu, Jing Gao, Robert H. Silverman, Jianzhi Zhang, Jiafu Ji, Jian Wu, Zhaoqing Fan and Lin Shen. Their work appears in journals such as PLoS ONE, Cancer Letters, Cell Death and Disease, Journal of Translational Medicine and OncoTargets and Therapy.
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.