Songbin Fu
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- NF-κB Signaling Pathways
- Molecular Biology top 5%
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
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- Cancer-related molecular mechanisms research 13
- Cancer Genomics and Diagnostics 12
-
- RNA modifications and cancer 25
- DNA Repair Mechanisms 14
- TGF-β signaling in diseases 12
- Epigenetics and DNA Methylation 12
- Ubiquitin and proteasome pathways 11
- Co-authors
- Jing BaiYan JinYang YuWenjing SunRenfang MaoJianhua YangYihui FanXiangning Meng
- Journals
- Molecular Biology Reports (7 papers)PLoS ONE (6 papers)Journal of Biological Chemistry (5 papers)Biochemical and Biophysical Research Communications (4 papers)Gene (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Songbin Fu
194 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 140
- Cancer Research 1.2k
- Molecular Biology 2.3k
- Immunology 587
- Oncology 669
- Genetics 585
Countries citing papers authored by Songbin Fu
This map shows the geographic impact of Songbin Fu'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 Songbin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songbin Fu more than expected).
Fields of papers citing papers by Songbin Fu
This network shows the impact of papers produced by Songbin Fu. 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 Songbin Fu. The network helps show where Songbin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Songbin Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2018 | 49 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 60 | |
| 13 | 2016 | 46 | |
| 14 | Bax inhibitor-1 is overexpressed in non-small cell lung cancer and promotes its progression and metastasis. | 2015 | 19 |
| 15 | 2015 | 20 | |
| 16 | 2012 | 15 | |
| 17 | 2010 | 15 | |
| 18 | 2008 | 23 | |
| 19 | 2006 | 17 | |
| 20 | 2005 | 66 |
About Songbin Fu
Songbin Fu is a scholar working on Cancer Research, Molecular Biology, Virology, Immunology and Allergy and Genetics, having authored 200 papers that have together received 3.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (25 papers), DNA Repair Mechanisms (14 papers), Cancer-related molecular mechanisms research (13 papers), Cancer Genomics and Diagnostics (12 papers), Genetic factors in colorectal cancer (12 papers), TGF-β signaling in diseases (12 papers), Epigenetics and DNA Methylation (12 papers) and Ubiquitin and proteasome pathways (11 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (2.3k citations), Immunology (587 citations), Oncology (669 citations) and Genetics (585 citations). Songbin Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Bai, Yan Jin, Yang Yu, Wenjing Sun, Renfang Mao, Jianhua Yang, Yihui Fan, Xiangning Meng, Haiming Sun and Hong Zhang. Their work appears in journals such as Molecular Biology Reports, PLoS ONE, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Gene.
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.