Xiaowei Fu
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Antibiotics Pharmacokinetics and Efficacy
Papers in
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- Metabolism and Genetic Disorders 8
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- Metabolomics and Mass Spectrometry Studies 2
- Mitochondrial Function and Pathology 2
- Co-authors
- Chun‐Qing Song (1 shared paper)Masahiko Kimura (3 shared papers)Seiji Yamaguchi (3 shared papers)Michael Neely (3 shared papers)Alan Schumitzky (3 shared papers)David S. Bayard (3 shared papers)Paul K. Pattengale (4 shared papers)Michael Van Guilder (2 shared papers)
- Journals
- Therapeutic Drug Monitoring (2 papers)Clinica Chimica Acta (2 papers)Clinical Chemistry (1 paper)PLoS ONE (1 paper)Journal of Pediatric Surgery (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Xiaowei Fu
22 papers receiving 525 citations
Peers
Comparison fields: 5 of 96
- Clinical Biochemistry 132
- Pharmacology 69
- Pediatrics, Perinatology and Child Health 70
- Biochemistry 24
- Infectious Diseases 50
Countries citing papers authored by Xiaowei Fu
This map shows the geographic impact of Xiaowei 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 Xiaowei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Fu more than expected).
Fields of papers citing papers by Xiaowei Fu
This network shows the impact of papers produced by Xiaowei 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 Xiaowei Fu. The network helps show where Xiaowei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 64 | |
| 2 | 2021 | 63 | |
| 3 | 2015 | 55 | |
| 4 | 2016 | 54 | |
| 5 | 2015 | 39 | |
| 6 | 2013 | 37 | |
| 7 | 2010 | 33 | |
| 8 | 2000 | 28 | |
| 9 | 2019 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2016 | 19 | |
| 12 | 2001 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 14 | |
| 15 | 2018 | 11 | |
| 16 | 2012 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2016 | 5 |
About Xiaowei Fu
Xiaowei Fu is a scholar working on Clinical Biochemistry, Molecular Biology, Surgery, Rheumatology and Infectious Diseases, having authored 23 papers that have together received 530 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Folate and B Vitamins Research (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Antifungal resistance and susceptibility (2 papers), Neonatal Health and Biochemistry (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Mitochondrial Function and Pathology (2 papers) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Clinical Biochemistry (132 citations), Pharmacology (69 citations), Pediatrics, Perinatology and Child Health (70 citations), Biochemistry (24 citations) and Infectious Diseases (50 citations). Xiaowei Fu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chun‐Qing Song, Masahiko Kimura, Seiji Yamaguchi, Michael Neely, Alan Schumitzky, David S. Bayard, Paul K. Pattengale, Michael Van Guilder, Yi Xiao and S.E. Palmer. Their work appears in journals such as Therapeutic Drug Monitoring, Clinica Chimica Acta, Clinical Chemistry, PLoS ONE and Journal of Pediatric Surgery.
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.