Xiaoying Fu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- Molecular Biology top 5%
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Advanced biosensing and bioanalysis techniques
- Prion Diseases and Protein Misfolding
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 18
- Prion Diseases and Protein Misfolding 15
- Receptor Mechanisms and Signaling 6
- Cancer-related gene regulation 5
- Oncology 28
- Cancer Cells and Metastasis 11
- Co-authors
- Keiichi HiguchiMasayuki MoriJin‐Tang DongChangyou WuSuihua LaoShaojin ChenLimei HanXiong Zhu
- Journals
- Amyloid (6 papers)PLoS ONE (6 papers)American Journal Of Pathology (4 papers)Journal of Chromatography A (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoying Fu
137 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Infectious Diseases 383
- Molecular Biology 1.4k
- Cancer Research 304
- Immunology 407
- Physiology 428
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 38 | |
| 12 | 2020 | 25 | |
| 13 | Upregulated CCL20 and CCR6 in Cancer Stem Cells Converted from Mouse iPS Cells | 2020 | 1 |
| 14 | 2019 | 3 | |
| 15 | 2013 | 7 | |
| 16 | 2012 | 72 | |
| 17 | 2012 | 7 | |
| 18 | 2011 | 31 | |
| 19 | 2011 | 8 | |
| 20 | 2005 | 95 |
About Xiaoying Fu
Xiaoying Fu is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Cancer Research, having authored 144 papers that have together received 2.6k 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 (11 papers), Alzheimer's disease research and treatments (9 papers), Immune Cell Function and Interaction (8 papers), Trace Elements in Health (6 papers), Receptor Mechanisms and Signaling (6 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Infectious Diseases (383 citations), Molecular Biology (1.4k citations), Cancer Research (304 citations), Immunology (407 citations) and Physiology (428 citations). Xiaoying Fu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Keiichi Higuchi, Masayuki Mori, Jin‐Tang Dong, Changyou Wu, Suihua Lao, Shaojin Chen, Limei Han, Xiong Zhu, Sha Li and Xiaoxia Wang. Their work appears in journals such as Amyloid, PLoS ONE, American Journal Of Pathology, Journal of Chromatography A and Scientific 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.