Xiaoying Fu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- Molecular Biology top 5%
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Prion Diseases and Protein Misfolding
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 18
- Prion Diseases and Protein Misfolding 15
- Receptor Mechanisms and Signaling 6
- Oncology 23
- Cancer Cells and Metastasis 10
- Co-authors
- Keiichi Higuchi (25 shared papers)Masayuki Mori (19 shared papers)Changyou Wu (11 shared papers)Jin‐Tang Dong (11 shared papers)Suihua Lao (9 shared papers)Xiong Zhu (2 shared papers)Shaojin Chen (2 shared papers)Jinko Sawashita (10 shared papers)
- Journals
- PLoS ONE (6 papers)Amyloid (6 papers)Journal of Chromatography A (4 papers)American Journal Of Pathology (4 papers)Blood (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoying Fu
141 papers receiving 2.7k citations
Xiaoying Fu's Hit Papers
Peers
Comparison fields: 5 of 143
- Infectious Diseases 385
- Molecular Biology 1.4k
- Cancer Research 278
- Immunology 390
- Physiology 406
Countries citing papers authored by Xiaoying Fu
This map shows the geographic impact of Xiaoying 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 Xiaoying Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Fu more than expected).
Fields of papers citing papers by Xiaoying Fu
This network shows the impact of papers produced by Xiaoying 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 Xiaoying Fu. The network helps show where Xiaoying Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoying 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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiplex reverse transcription loop-mediated isothermal amplification combined with nanoparticle-based lateral flow biosensor for the diagnosis of COVID-19 Hit paper breakdown → | 2020 | 369 |
| 2 | 2006 | 117 | |
| 3 | 2008 | 98 | |
| 4 | 2005 | 97 | |
| 5 | 2012 | 74 | |
| 6 | 2007 | 64 | |
| 7 | 2012 | 58 | |
| 8 | 2020 | 49 | |
| 9 | 2011 | 47 | |
| 10 | 2012 | 47 | |
| 11 | 2021 | 46 | |
| 12 | 2007 | 46 | |
| 13 | 2016 | 45 | |
| 14 | 2002 | 43 | |
| 15 | 2012 | 43 | |
| 16 | 2020 | 39 | |
| 17 | 2014 | 39 | |
| 18 | 2004 | 37 | |
| 19 | 2016 | 37 | |
| 20 | 2012 | 35 |
About Xiaoying Fu
Xiaoying Fu is a scholar working on Molecular Biology, Oncology, Immunology, Physiology and Genetics, having authored 152 papers that have together received 2.8k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (18 papers), Prion Diseases and Protein Misfolding (15 papers), Cancer Cells and Metastasis (10 papers), Alzheimer's disease research and treatments (9 papers), Immune Cell Function and Interaction (7 papers), Receptor Mechanisms and Signaling (6 papers), Trace Elements in Health (6 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Infectious Diseases (385 citations), Molecular Biology (1.4k citations), Cancer Research (278 citations), Immunology (390 citations) and Physiology (406 citations). Xiaoying Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Keiichi Higuchi, Masayuki Mori, Changyou Wu, Jin‐Tang Dong, Suihua Lao, Xiong Zhu, Shaojin Chen, Jinko Sawashita, Sha Li and Limei Han. Their work appears in journals such as PLoS ONE, Amyloid, Journal of Chromatography A, American Journal Of Pathology and Blood.
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.