Xiaoyan Chu
Impact in
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Antibiotics Pharmacokinetics and Efficacy
- Oncology top 0.5%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 26
- Pharmacogenetics and Drug Metabolism 23
- Oncology 66
- Drug Transport and Resistance Mechanisms 66
- Co-authors
- Raymond EversKelly BleasbyYuichi SugiyamaYukio KatoJashvant D. UnadkatAleksandra GaletinYurong LaiGrace Chan
- Journals
- Clinical Pharmacology & Therapeutics (25 papers)Drug Metabolism and Disposition (15 papers)Journal of Pharmacology and Experimental Therapeutics (6 papers)The AAPS Journal (3 papers)Journal of Pharmaceutical Sciences (2 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Xiaoyan Chu
89 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 125
- Pharmacology 1.7k
- Oncology 3.2k
- Pediatrics, Perinatology and Child Health 1.8k
- Biochemistry 228
- Hepatology 223
Countries citing papers authored by Xiaoyan Chu
This map shows the geographic impact of Xiaoyan Chu'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 Xiaoyan Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Chu more than expected).
Fields of papers citing papers by Xiaoyan Chu
This network shows the impact of papers produced by Xiaoyan Chu. 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 Xiaoyan Chu. The network helps show where Xiaoyan Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyan Chu, 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 | 2 | |
| 2 | 2022 | 24 | |
| 3 | 2022 | 23 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 7 | |
| 6 | 2020 | 27 | |
| 7 | 2020 | 39 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 50 | |
| 10 | 2019 | 60 | |
| 11 | 2018 | 161 | |
| 12 | 2018 | 157 | |
| 13 | 2014 | 143 | |
| 14 | 2014 | 30 | |
| 15 | 2010 | 12 | |
| 16 | 2008 | 16 | |
| 17 | 2006 | 105 | |
| 18 | 2004 | 80 | |
| 19 | 1999 | 76 | |
| 20 | 1998 | 83 |
About Xiaoyan Chu
Xiaoyan Chu is a scholar working on Pharmacology, Oncology, Pediatrics, Perinatology and Child Health, Clinical Biochemistry and Biochemistry, having authored 90 papers that have together received 5.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (66 papers), Pharmacological Effects and Toxicity Studies (36 papers), Pharmacogenetics and Drug Metabolism (23 papers), HIV/AIDS drug development and treatment (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer therapeutics and mechanisms (6 papers), Pregnancy and Medication Impact (6 papers) and Mycotoxins in Agriculture and Food (6 papers). The work is most often cited by research in Pharmacology (1.7k citations), Oncology (3.2k citations), Pediatrics, Perinatology and Child Health (1.8k citations), Biochemistry (228 citations) and Hepatology (223 citations). Xiaoyan Chu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Raymond Evers, Kelly Bleasby, Yuichi Sugiyama, Yukio Kato, Yuichi Sugiyama, Jashvant D. Unadkat, Aleksandra Galetin, Yurong Lai, Grace Chan and Jocelyn Yabut. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, The AAPS Journal and Journal of Pharmaceutical Sciences.
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.