Xiao Fu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Melanoma and MAPK Pathways
Papers in
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- MicroRNA in disease regulation 3
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- Advanced Malware Detection Techniques 2
- Co-authors
- Xiaohui Huang (1 shared paper)Lianzhou Chen (1 shared paper)Jingsong Chen (1 shared paper)Qiao Su (1 shared paper)Wen Li (1 shared paper)Longjuan Zhang (1 shared paper)Hao‐Xiang Tan (1 shared paper)Qian Wang (1 shared paper)
- Journals
- Expert Opinion on Drug Safety (1 paper)Oncogene (1 paper)Hepatology Research (1 paper)Cellular Signalling (1 paper)American Journal of Nephrology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Xiao Fu
17 papers receiving 312 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 125
- Molecular Biology 183
- Oncology 37
- Nephrology 10
- Pulmonary and Respiratory Medicine 33
Countries citing papers authored by Xiao Fu
This map shows the geographic impact of Xiao 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 Xiao Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Fu more than expected).
Fields of papers citing papers by Xiao Fu
This network shows the impact of papers produced by Xiao 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 Xiao Fu. The network helps show where Xiao Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao 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 | 2009 | 135 | |
| 2 | 2017 | 38 | |
| 3 | 2017 | 35 | |
| 4 | 2011 | 33 | |
| 5 | 2024 | 16 | |
| 6 | 1998 | 11 | |
| 7 | 2017 | 9 | |
| 8 | 1999 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2016 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 |
About Xiao Fu
Xiao Fu is a scholar working on Cancer Research, Signal Processing, Information Systems, Oncology and Immunology, having authored 19 papers that have together received 319 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), MicroRNA in disease regulation (3 papers), Digital and Cyber Forensics (2 papers), RNA modifications and cancer (2 papers), Advanced Malware Detection Techniques (2 papers), Glycosylation and Glycoproteins Research (1 paper), Dialysis and Renal Disease Management (1 paper) and Tuberous Sclerosis Complex Research (1 paper). The work is most often cited by research in Cancer Research (125 citations), Molecular Biology (183 citations), Oncology (37 citations), Nephrology (10 citations) and Pulmonary and Respiratory Medicine (33 citations). Xiao Fu has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Xiaohui Huang, Lianzhou Chen, Jingsong Chen, Qiao Su, Wen Li, Longjuan Zhang, Hao‐Xiang Tan, Qian Wang, Jiong Bi and Wentao Zeng. Their work appears in journals such as Expert Opinion on Drug Safety, Oncogene, Hepatology Research, Cellular Signalling and American Journal of Nephrology.
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.