Guangsen Fu
Impact in
- Toxicology top 10%
-
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer therapeutics and mechanisms
- Chemical Synthesis and Analysis
- Glycosylation and Glycoproteins Research
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Protein purification and stability 2
- Glycosylation and Glycoproteins Research 2
- Cancer therapeutics and mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Xiang‐Lei Yang (4 shared papers)Yi Shi (4 shared papers)Shuji Kishi (2 shared papers)Tao Xu (2 shared papers)Na Wei (3 shared papers)Deyu Zhu (3 shared papers)Qian Zhang (1 shared paper)Zhongying Mo (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Biotechnology Journal (1 paper)Advanced Science (1 paper)Cell Reports (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Guangsen Fu
12 papers receiving 390 citations
Peers
Comparison fields: 5 of 66
- Toxicology 19
- Molecular Biology 318
- Molecular Medicine 19
- Geriatrics and Gerontology 11
- Cancer Research 30
Countries citing papers authored by Guangsen Fu
This map shows the geographic impact of Guangsen 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 Guangsen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangsen Fu more than expected).
Fields of papers citing papers by Guangsen Fu
This network shows the impact of papers produced by Guangsen 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 Guangsen Fu. The network helps show where Guangsen Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangsen 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 | 2017 | 111 | |
| 2 | 2014 | 81 | |
| 3 | 2014 | 54 | |
| 4 | 2009 | 51 | |
| 5 | 2012 | 32 | |
| 6 | 2008 | 26 | |
| 7 | 2015 | 16 | |
| 8 | 2017 | 12 | |
| 9 | 2023 | 4 | |
| 10 | 2009 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2026 | 1 |
About Guangsen Fu
Guangsen Fu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Toxicology and Genetics, having authored 12 papers that have together received 393 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers), Protein purification and stability (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer therapeutics and mechanisms (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Toxicology (19 citations), Molecular Biology (318 citations), Molecular Medicine (19 citations), Geriatrics and Gerontology (11 citations) and Cancer Research (30 citations). Guangsen Fu has collaborated with scholars based in United States and China. Frequent co-authors include Xiang‐Lei Yang, Yi Shi, Shuji Kishi, Tao Xu, Na Wei, Deyu Zhu, Qian Zhang, Zhongying Mo, Xiaoling Xu and Yonglin Hu. Their work appears in journals such as Journal of the American Chemical Society, Biotechnology Journal, Advanced Science, Cell Reports and Molecular Cell.
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.