Fang Yu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Toxicology top 10%
Papers in
-
- RNA Interference and Gene Delivery 2
- FOXO transcription factor regulation 2
- Circular RNAs in diseases 2
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- Dialysis and Renal Disease Management 2
- Co-authors
- Daping Fan (5 shared papers)Zifan Lu (5 shared papers)Guodong Yang (5 shared papers)Stephen Iwanowycz (2 shared papers)Chaoshu Tang (3 shared papers)Jing Zhao (3 shared papers)Liang Jin (3 shared papers)Yuzhen Wang (2 shared papers)
- Journals
- The FASEB Journal (1 paper)Brazilian Journal of Medical and Biological Research (1 paper)PLoS ONE (1 paper)Blood (1 paper)Vascular Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fang Yu
30 papers receiving 829 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 140
- Toxicology 25
- Biochemistry 50
- Pharmacology 46
- Molecular Biology 369
Countries citing papers authored by Fang Yu
This map shows the geographic impact of Fang Yu'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 Fang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Yu more than expected).
Fields of papers citing papers by Fang Yu
This network shows the impact of papers produced by Fang Yu. 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 Fang Yu. The network helps show where Fang Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fang Yu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 113 | |
| 2 | 2016 | 78 | |
| 3 | 2006 | 54 | |
| 4 | 2014 | 52 | |
| 5 | 2004 | 47 | |
| 6 | 2013 | 45 | |
| 7 | 2009 | 38 | |
| 8 | 2013 | 38 | |
| 9 | 2015 | 36 | |
| 10 | 2013 | 34 | |
| 11 | 2022 | 31 | |
| 12 | 2009 | 30 | |
| 13 | 2013 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2012 | 26 | |
| 16 | 2011 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2015 | 22 | |
| 19 | 2007 | 17 | |
| 20 | 2020 | 16 |
About Fang Yu
Fang Yu is a scholar working on Molecular Biology, Nephrology, Immunology, Pharmacology and Hematology, having authored 34 papers that have together received 843 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (3 papers), RNA Interference and Gene Delivery (2 papers), Phytochemistry and biological activity of medicinal plants (2 papers), Dialysis and Renal Disease Management (2 papers), Immune Response and Inflammation (2 papers), Inflammatory mediators and NSAID effects (2 papers), FOXO transcription factor regulation (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (140 citations), Toxicology (25 citations), Biochemistry (50 citations), Pharmacology (46 citations) and Molecular Biology (369 citations). Fang Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daping Fan, Zifan Lu, Guodong Yang, Stephen Iwanowycz, Chaoshu Tang, Jing Zhao, Liang Jin, Yuzhen Wang, Bin Geng and Junfeng Wang. Their work appears in journals such as The FASEB Journal, Brazilian Journal of Medical and Biological Research, PLoS ONE, Blood and Vascular Pharmacology.
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.