Yan Shu
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
Papers in
- Pharmacology 13
- Pharmacogenetics and Drug Metabolism 9
- Oncology 28
- Drug Transport and Resistance Mechanisms 18
- Co-authors
- Kathleen M. GiacominiHong‐Hao ZhouSteven A. SheardownRichard A. CastroShuzhong ZhangClaire M. BrettEsteban G. BurchardChaline Brown
- Journals
- Frontiers in Pharmacology (4 papers)Drug Metabolism and Disposition (3 papers)British Journal of Clinical Pharmacology (3 papers)Journal of Chromatography B (3 papers)Biochemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Shu
79 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Pharmacology 548
- Oncology 1.1k
- Biochemistry 233
- Endocrinology, Diabetes and Metabolism 534
- Clinical Biochemistry 186
Countries citing papers authored by Yan Shu
This map shows the geographic impact of Yan Shu'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 Yan Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Shu more than expected).
Fields of papers citing papers by Yan Shu
This network shows the impact of papers produced by Yan Shu. 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 Yan Shu. The network helps show where Yan Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Shu, 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 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 102 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 6 | |
| 13 | 2018 | 41 | |
| 14 | 2018 | 11 | |
| 15 | 2014 | 182 | |
| 16 | 2014 | 24 | |
| 17 | 2013 | 12 | |
| 18 | 2013 | 96 | |
| 19 | 2010 | 69 | |
| 20 | Role of cytochrome P450 in estradiol metabolism in vitro. | 2001 | 47 |
About Yan Shu
Yan Shu is a scholar working on Pharmacology, Oncology, Biochemistry, Genetics and Pediatrics, Perinatology and Child Health, having authored 84 papers that have together received 3.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (18 papers), Pharmacological Effects and Toxicity Studies (12 papers), Pharmacogenetics and Drug Metabolism (9 papers), Metabolism, Diabetes, and Cancer (7 papers), Mesenchymal stem cell research (6 papers), Pancreatic function and diabetes (6 papers), Diabetes Treatment and Management (5 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Pharmacology (548 citations), Oncology (1.1k citations), Biochemistry (233 citations), Endocrinology, Diabetes and Metabolism (534 citations) and Clinical Biochemistry (186 citations). Yan Shu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kathleen M. Giacomini, Hong‐Hao Zhou, Steven A. Sheardown, Richard A. Castro, Shuzhong Zhang, Claire M. Brett, Esteban G. Burchard, Chaline Brown, Ryan Owen and Alexandra G. Ianculescu. Their work appears in journals such as Frontiers in Pharmacology, Drug Metabolism and Disposition, British Journal of Clinical Pharmacology, Journal of Chromatography B and Biochemistry.
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.