Sidney W. Fu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Circular RNAs in diseases 10
- Cancer-related gene regulation 4
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 8
- Co-authors
- Liang Chen (8 shared papers)Yebo Fu (10 shared papers)Yan‐Gao Man (11 shared papers)Xiaohui Tan (16 shared papers)Timothy A. McCaffrey (11 shared papers)Rachel F. Brem (7 shared papers)Fatah Kashanchi (3 shared papers)Wendy Wang (1 shared paper)
- Journals
- Journal of Cancer (9 papers)Surgical Endoscopy (8 papers)International Journal of Biological Sciences (5 papers)Breast Cancer Research (4 papers)Oncotarget (4 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Sidney W. Fu
62 papers receiving 1.8k citations
Sidney W. Fu's Hit Papers
Peers
Comparison fields: 5 of 102
- Cancer Research 745
- Virology 97
- Molecular Biology 1.1k
- Oncology 335
- Urology 60
Countries citing papers authored by Sidney W. Fu
This map shows the geographic impact of Sidney W. 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 Sidney W. Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sidney W. Fu more than expected).
Fields of papers citing papers by Sidney W. Fu
This network shows the impact of papers produced by Sidney W. 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 Sidney W. Fu. The network helps show where Sidney W. Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sidney W. 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 131 | |
| 2 | 2012 | 127 | |
| 3 | 2014 | 105 | |
| 4 | 2011 | 98 | |
| 5 | 2019 | 95 | |
| 6 | 2013 | 94 | |
| 7 | 2011 | 88 | |
| 8 | 2015 | 80 | |
| 9 | 2014 | 69 | |
| 10 | 2010 | 48 | |
| 11 | 2005 | 46 | |
| 12 | 2000 | 45 | |
| 13 | 2019 | 44 | |
| 14 | 2005 | 43 | |
| 15 | 2011 | 42 | |
| 16 | 2010 | 41 | |
| 17 | 2007 | 38 | |
| 18 | 2020 | 37 | |
| 19 | 2003 | 36 | |
| 20 | 2018 | 31 |
About Sidney W. Fu
Sidney W. Fu is a scholar working on Molecular Biology, Cancer Research, Oncology, Cardiology and Cardiovascular Medicine and Surgery, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Circular RNAs in diseases (10 papers), Cancer-related molecular mechanisms research (8 papers), Cancer Cells and Metastasis (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer-related gene regulation (4 papers) and Estrogen and related hormone effects (4 papers). The work is most often cited by research in Cancer Research (745 citations), Virology (97 citations), Molecular Biology (1.1k citations), Oncology (335 citations) and Urology (60 citations). Sidney W. Fu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Liang Chen, Yebo Fu, Yan‐Gao Man, Xiaohui Tan, Timothy A. McCaffrey, Rachel F. Brem, Fatah Kashanchi, Wendy Wang, Christine Teal and Charles J. Macri. Their work appears in journals such as Journal of Cancer, Surgical Endoscopy, International Journal of Biological Sciences, Breast Cancer Research and Oncotarget.
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.