Fubing Li
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Ubiquitin and proteasome pathways
- Kruppel-like factors research
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
Papers in
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- Kruppel-like factors research 7
- Cancer-related gene regulation 5
- Ubiquitin and proteasome pathways 4
- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Ceshi Chen (19 shared papers)Zhongmei Zhou (9 shared papers)Yanjie Kong (7 shared papers)Wenlin Chen (3 shared papers)Huichun Liang (5 shared papers)Chunyan Wang (3 shared papers)Chuanyu Yang (8 shared papers)Rong Liu (2 shared papers)
- Journals
- Cancer Letters (2 papers)Asian Journal of Pharmaceutical Sciences (1 paper)Acta Pharmacologica Sinica (1 paper)Advanced Science (1 paper)Bone (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Fubing Li
28 papers receiving 858 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 151
- Molecular Biology 541
- Oncology 133
- Genetics 143
- Cell Biology 69
Countries citing papers authored by Fubing Li
This map shows the geographic impact of Fubing Li'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 Fubing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fubing Li more than expected).
Fields of papers citing papers by Fubing Li
This network shows the impact of papers produced by Fubing Li. 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 Fubing Li. The network helps show where Fubing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fubing Li, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 126 | |
| 2 | 2007 | 118 | |
| 3 | 2018 | 115 | |
| 4 | 2015 | 73 | |
| 5 | 2019 | 58 | |
| 6 | 2014 | 52 | |
| 7 | 2018 | 52 | |
| 8 | 2014 | 34 | |
| 9 | 2023 | 30 | |
| 10 | 2019 | 28 | |
| 11 | 2024 | 28 | |
| 12 | 2021 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2024 | 21 | |
| 15 | 2024 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2024 | 5 |
About Fubing Li
Fubing Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Microbiology and Genetics, having authored 29 papers that have together received 866 indexed citations. Recurring topics across this work include Kruppel-like factors research (7 papers), Cancer-related gene regulation (5 papers), Ubiquitin and proteasome pathways (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related Molecular Pathways (3 papers), Non-Invasive Vital Sign Monitoring (2 papers), Cancer-related molecular mechanisms research (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (151 citations), Molecular Biology (541 citations), Oncology (133 citations), Genetics (143 citations) and Cell Biology (69 citations). Fubing Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ceshi Chen, Zhongmei Zhou, Yanjie Kong, Wenlin Chen, Huichun Liang, Chunyan Wang, Chuanyu Yang, Rong Liu, Peiguo Shi and Yingying Wu. Their work appears in journals such as Cancer Letters, Asian Journal of Pharmaceutical Sciences, Acta Pharmacologica Sinica, Advanced Science and Bone.
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.