Shu‐Ling Fu
Impact in
-
- Andrographolide Research and Applications
- Pharmacology top 5%
Papers in
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- Cancer-related gene regulation 5
- Immunology 15
- Immune Response and Inflammation 8
- Co-authors
- Chao‐Hsiung Lin (23 shared papers)Shih‐Kai Hung (8 shared papers)Peter K. Vogt (3 shared papers)Jih‐Jung Chen (7 shared papers)Iván Bottoli (1 shared paper)Ling-Chien Hung (6 shared papers)Cheng‐Deng Kuo (4 shared papers)Wey‐Jinq Lin (5 shared papers)
- Journals
- Biochemical Pharmacology (5 papers)Molecules (4 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Agricultural and Food Chemistry (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shu‐Ling Fu
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Complementary and alternative medicine 263
- Pharmacology 97
- Immunology 215
- Pharmacology 140
- Molecular Biology 590
Countries citing papers authored by Shu‐Ling Fu
This map shows the geographic impact of Shu‐Ling 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 Shu‐Ling Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Ling Fu more than expected).
Fields of papers citing papers by Shu‐Ling Fu
This network shows the impact of papers produced by Shu‐Ling 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 Shu‐Ling Fu. The network helps show where Shu‐Ling Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shu‐Ling 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 1999 | 83 | |
| 3 | 2005 | 63 | |
| 4 | 2011 | 58 | |
| 5 | 2010 | 53 | |
| 6 | 2011 | 53 | |
| 7 | 2018 | 47 | |
| 8 | 2015 | 47 | |
| 9 | 2014 | 46 | |
| 10 | 2008 | 46 | |
| 11 | 2007 | 44 | |
| 12 | 2010 | 42 | |
| 13 | 2013 | 35 | |
| 14 | 2012 | 32 | |
| 15 | 2017 | 31 | |
| 16 | 2019 | 29 | |
| 17 | 2010 | 28 | |
| 18 | 2018 | 27 | |
| 19 | 2000 | 27 | |
| 20 | 2021 | 24 |
About Shu‐Ling Fu
Shu‐Ling Fu is a scholar working on Molecular Biology, Immunology, Complementary and alternative medicine, Oncology and Cancer Research, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Andrographolide Research and Applications (11 papers), Immune Response and Inflammation (8 papers), Cancer-related gene regulation (5 papers), NF-κB Signaling Pathways (5 papers), Cancer-related Molecular Pathways (4 papers), PARP inhibition in cancer therapy (4 papers), Microtubule and mitosis dynamics (3 papers) and Flavonoids in Medical Research (3 papers). The work is most often cited by research in Complementary and alternative medicine (263 citations), Pharmacology (97 citations), Immunology (215 citations), Pharmacology (140 citations) and Molecular Biology (590 citations). Shu‐Ling Fu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chao‐Hsiung Lin, Shih‐Kai Hung, Peter K. Vogt, Jih‐Jung Chen, Iván Bottoli, Ling-Chien Hung, Cheng‐Deng Kuo, Wey‐Jinq Lin, Ming‐Jen Cheng and Jen‐Hwey Chiu. Their work appears in journals such as Biochemical Pharmacology, Molecules, Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.
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.