Ying Fu
Impact in
- Virology top 5%
- HIV Research and Treatment
- Emergency Medicine top 5%
- HIV-related health complications and treatments
Papers in
-
- Peroxisome Proliferator-Activated Receptors 5
- Receptor Mechanisms and Signaling 4
- Protein Kinase Regulation and GTPase Signaling 3
- Surgery 10
- Cholesterol and Lipid Metabolism 8
- Co-authors
- Richard R. Neubig (7 shared papers)Xinyan Huang (7 shared papers)Dmitri Sviridov (4 shared papers)Nigora Mukhamedova (9 shared papers)Michael Bukrinsky (7 shared papers)Tatiana Pushkarsky (3 shared papers)Anh Hoang (5 shared papers)Larisa Dubrovsky (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Cytometry Part A (2 papers)Cell Metabolism (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Ying Fu
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Virology 209
- Emergency Medicine 189
- Cell Biology 163
- Infectious Diseases 164
- Molecular Biology 563
Countries citing papers authored by Ying Fu
This map shows the geographic impact of Ying 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 Ying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Fu more than expected).
Fields of papers citing papers by Ying Fu
This network shows the impact of papers produced by Ying 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 Ying Fu. The network helps show where Ying Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 260 | |
| 2 | 2019 | 95 | |
| 3 | 2004 | 94 | |
| 4 | 2006 | 76 | |
| 5 | 2006 | 69 | |
| 6 | 2011 | 55 | |
| 7 | 2010 | 48 | |
| 8 | 2004 | 47 | |
| 9 | 2013 | 45 | |
| 10 | 2016 | 44 | |
| 11 | 2007 | 43 | |
| 12 | 2004 | 41 | |
| 13 | 2019 | 40 | |
| 14 | 2007 | 39 | |
| 15 | 2012 | 38 | |
| 16 | 2016 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2020 | 22 | |
| 19 | 2007 | 21 | |
| 20 | 1997 | 19 |
About Ying Fu
Ying Fu is a scholar working on Molecular Biology, Surgery, Cell Biology, Oncology and Immunology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Receptor Mechanisms and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular transport and secretion (3 papers), HIV-related health complications and treatments (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Virology (209 citations), Emergency Medicine (189 citations), Cell Biology (163 citations), Infectious Diseases (164 citations) and Molecular Biology (563 citations). Ying Fu has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Richard R. Neubig, Xinyan Huang, Dmitri Sviridov, Nigora Mukhamedova, Michael Bukrinsky, Tatiana Pushkarsky, Anh Hoang, Larisa Dubrovsky, Yuri V. Bobryshev and Zahedi Mujawar. Their work appears in journals such as Journal of Biological Chemistry, Cytometry Part A, Cell Metabolism, The International Journal of Biochemistry & Cell Biology and Cell Reports.
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.