Xiaowei Fu

754 total citations
22 papers, 519 citations indexed

About

Xiaowei Fu is a scholar working on Clinical Biochemistry, Molecular Biology and Pharmacology. According to data from OpenAlex, Xiaowei Fu has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Biochemistry, 7 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in Xiaowei Fu's work include Metabolism and Genetic Disorders (8 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Mitochondrial Function and Pathology (3 papers). Xiaowei Fu is often cited by papers focused on Metabolism and Genetic Disorders (8 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Mitochondrial Function and Pathology (3 papers). Xiaowei Fu collaborates with scholars based in United States, Japan and China. Xiaowei Fu's co-authors include Chun‐Qing Song, Seiji Yamaguchi, Masahiko Kimura, David S. Bayard, Alan Schumitzky, Michael Neely, Paul K. Pattengale, Michael Van Guilder, Yi Xiao and Lawrence Sweetman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Xiaowei Fu

22 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaowei Fu United States 14 187 143 92 90 65 22 519
Daniela Ombrone Italy 12 128 0.7× 166 1.2× 104 1.1× 109 1.2× 30 0.5× 16 433
Ann K. Miller United States 16 274 1.5× 37 0.3× 123 1.3× 129 1.4× 85 1.3× 28 806
Marija Popović Canada 12 83 0.4× 45 0.3× 24 0.3× 64 0.7× 49 0.8× 45 601
Sara Capiau Belgium 10 170 0.9× 85 0.6× 87 0.9× 183 2.0× 28 0.4× 13 930
Bindu Murthy United States 14 64 0.3× 40 0.3× 117 1.3× 141 1.6× 61 0.9× 41 672
Md Ashik Ullah Australia 15 147 0.8× 124 0.9× 23 0.3× 47 0.5× 138 2.1× 44 863
Yukiko Nakajima Japan 14 225 1.2× 34 0.2× 97 1.1× 47 0.5× 32 0.5× 33 790
Carol Gleason United States 16 242 1.3× 37 0.3× 66 0.7× 372 4.1× 128 2.0× 43 920
Philip Denniff United Kingdom 10 211 1.1× 78 0.5× 100 1.1× 249 2.8× 25 0.4× 11 1.1k
Chang-Hong Jiang China 9 122 0.7× 30 0.2× 36 0.4× 62 0.7× 30 0.5× 14 478

Countries citing papers authored by Xiaowei Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Xiaowei Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaowei Fu. A scholar is included among the top collaborators of Xiaowei Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaowei Fu. Xiaowei Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fu, Xiaowei, et al.. (2024). Pseudo-hypertriglyceridemia in a 2-year-old male with global developmental delay, myopathy and adrenal hypoplasia. SHILAP Revista de lepidopterología. 32. 47–49. 1 indexed citations
2.
Fu, Xiaowei & Chun‐Qing Song. (2021). Identification and Validation of Pyroptosis-Related Gene Signature to Predict Prognosis and Reveal Immune Infiltration in Hepatocellular Carcinoma. Frontiers in Cell and Developmental Biology. 9. 748039–748039. 63 indexed citations
3.
Golden, Jamie, Jessica A. Zagory, Catherine J. Goodhue, et al.. (2018). Liquid chromatography–mass spectroscopy in the diagnosis of biliary atresia in children with hyperbilirubinemia. Journal of Surgical Research. 228. 228–237. 11 indexed citations
4.
Xiao, Yi, Xiaohan Li, & Xiaowei Fu. (2018). A rapid and simple LC–MS/MS method for personalized busulfan dosing in pediatric patients undergoing hematopoietic stem cell transplantation (HSCT). Clinica Chimica Acta. 479. 190–195. 7 indexed citations
5.
Xiao, Yi, et al.. (2017). A Rapid High-Performance LC-MS/MS Method for Therapeutic Drug Monitoring of Voriconazole, Posaconazole, Fluconazole, and Itraconazole in Human Serum. The Journal of Applied Laboratory Medicine. 1(6). 626–636. 18 indexed citations
6.
Zagory, Jessica A., et al.. (2016). Liquid chromatography–mass spectroscopy as a tool in the rapid diagnosis of biliary atresia: a pilot study. Journal of Pediatric Surgery. 51(6). 923–926. 5 indexed citations
8.
Neely, Michael, Teresa Rushing, Xiaowei Fu, et al.. (2016). Accurately Achieving Target Busulfan Exposure in Children and Adolescents With Very Limited Sampling and the BestDose Software. Therapeutic Drug Monitoring. 38(3). 332–342. 52 indexed citations
10.
Li, Jingbo, Yun C. Chang, Chunhua Wu, et al.. (2016). The 14-3-3 Gene Function of Cryptococcus neoformans Is Required for its Growth and Virulence. Journal of Microbiology and Biotechnology. 26(5). 918–927. 7 indexed citations
11.
Mavila, Nirmala, Ryan G. Spurrier, Yi Xiao, et al.. (2016). Functional Human and Murine Tissue-Engineered Liver Is Generated from Adult Stem/Progenitor Cells. Stem Cells Translational Medicine. 6(1). 238–248. 17 indexed citations
12.
Neely, Michael, Ashley Margol, Xiaowei Fu, et al.. (2015). Achieving Target Voriconazole Concentrations More Accurately in Children and Adolescents. Antimicrobial Agents and Chemotherapy. 59(6). 3090–3097. 54 indexed citations
13.
Jelliffe, Roger W., Alan Schumitzky, David S. Bayard, Xiaowei Fu, & Michael Neely. (2015). Describing Assay Precision—Reciprocal of Variance Is Correct, Not CV Percent. Therapeutic Drug Monitoring. 37(3). 389–394. 37 indexed citations
15.
Krishnan, Subramanian, et al.. (2013). Escherichia coli K1 induces pterin production for enhanced expression of Fcγ receptor I to invade RAW 264.7 macrophages. Microbes and Infection. 16(2). 134–141. 6 indexed citations
16.
Krishnan, Subramanian, et al.. (2012). Attenuation of Biopterin Synthesis Prevents Escherichia coli K1 Invasion of Brain Endothelial Cells and the Development of Meningitis in Newborn Mice. The Journal of Infectious Diseases. 207(1). 61–71. 8 indexed citations
18.
Fu, Xiaowei, et al.. (2001). Gas chromatographic–mass spectrometric screening for organic acidemias using dried urine filter paper: determination of α-ketoacids. Journal of Chromatography B Biomedical Sciences and Applications. 758(1). 87–94. 18 indexed citations
19.
Fu, Xiaowei, et al.. (2000). Gas chromatography–mass spectrometry with tert.-butyldimethylsilyl derivatization: use of the simplified sample preparations and the automated data system to screen for organic acidemias. Journal of Chromatography B Biomedical Sciences and Applications. 746(1). 63–73. 28 indexed citations
20.
Fu, Xiaowei, et al.. (2000). Simplified screening for organic acidemia using GC/MS and dried urine filter paper: a study on neonatal mass screening. Early Human Development. 58(1). 41–55. 63 indexed citations

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.

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