Li-Bing Song
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer Cells and Metastasis
- Viral-associated cancers and disorders
Papers in
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- Cancer-related gene regulation 3
- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 2
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- Microtubule and mitosis dynamics 3
- Co-authors
- Mu‐Sheng Zeng (19 shared papers)Man-Zhi Li (11 shared papers)Wenting Liao (7 shared papers)Mengfeng Li (5 shared papers)Jueheng Wu (3 shared papers)Nu Zhang (2 shared papers)Li-Hua Xu (4 shared papers)Jun Li (7 shared papers)
- Journals
- Clinical Cancer Research (4 papers)PLoS ONE (4 papers)Journal of Translational Medicine (3 papers)BMC Cancer (3 papers)Molecular Cancer (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Li-Bing Song
36 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 501
- Oncology 769
- Cell Biology 361
- Molecular Biology 1.4k
- Pathology and Forensic Medicine 338
Countries citing papers authored by Li-Bing Song
This map shows the geographic impact of Li-Bing Song'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 Li-Bing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Bing Song more than expected).
Fields of papers citing papers by Li-Bing Song
This network shows the impact of papers produced by Li-Bing Song. 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 Li-Bing Song. The network helps show where Li-Bing Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Bing Song, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 291 | |
| 2 | 2008 | 276 | |
| 3 | 2011 | 189 | |
| 4 | 2009 | 167 | |
| 5 | 2010 | 166 | |
| 6 | 2008 | 134 | |
| 7 | 2005 | 105 | |
| 8 | 2007 | 103 | |
| 9 | 2009 | 86 | |
| 10 | 2006 | 84 | |
| 11 | 2009 | 82 | |
| 12 | 2012 | 64 | |
| 13 | 2008 | 56 | |
| 14 | 2007 | 51 | |
| 15 | 2013 | 50 | |
| 16 | 2012 | 49 | |
| 17 | 2009 | 48 | |
| 18 | 2017 | 45 | |
| 19 | 2013 | 43 | |
| 20 | 2010 | 39 |
About Li-Bing Song
Li-Bing Song is a scholar working on Molecular Biology, Cell Biology, Oncology, Pathology and Forensic Medicine and Physiology, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Viral-associated cancers and disorders (3 papers), Cancer-related gene regulation (3 papers), Cancer Mechanisms and Therapy (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA Interference and Gene Delivery (2 papers), Biosensors and Analytical Detection (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Cancer Research (501 citations), Oncology (769 citations), Cell Biology (361 citations), Molecular Biology (1.4k citations) and Pathology and Forensic Medicine (338 citations). Li-Bing Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mu‐Sheng Zeng, Man-Zhi Li, Wenting Liao, Mengfeng Li, Jueheng Wu, Nu Zhang, Li-Hua Xu, Jun Li, Ling Zhang and Hui-Zhong Zhang. Their work appears in journals such as Clinical Cancer Research, PLoS ONE, Journal of Translational Medicine, BMC Cancer and Molecular 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.