K.-C. Cheng
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Oncology 5
- Drug Transport and Resistance Mechanisms 5
-
- Pharmacogenetics and Drug Metabolism 5
- Co-authors
- Eric Novik (4 shared papers)Piyun Chao (4 shared papers)Timothy J. Maguire (4 shared papers)Martin L. Yarmush (3 shared papers)Xiaoming Cui (3 shared papers)Ronald E. White (6 shared papers)Yau Yi Lau (1 shared paper)Cheng Li (1 shared paper)
- Journals
- Biochemical Pharmacology (2 papers)Drug Metabolism and Disposition (1 paper)Toxicology in Vitro (1 paper)SLAS DISCOVERY (1 paper)Current Drug Metabolism (1 paper)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
K.-C. Cheng
14 papers receiving 579 citations
Peers
Comparison fields: 5 of 75
- Hepatology 147
- Pharmacology 156
- Biomedical Engineering 315
- Physical Therapy, Sports Therapy and Rehabilitation 25
- Oncology 119
Countries citing papers authored by K.-C. Cheng
This map shows the geographic impact of K.-C. Cheng'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 K.-C. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.-C. Cheng more than expected).
Fields of papers citing papers by K.-C. Cheng
This network shows the impact of papers produced by K.-C. Cheng. 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 K.-C. Cheng. The network helps show where K.-C. Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside K.-C. Cheng, 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 | 180 | |
| 2 | 2009 | 144 | |
| 3 | 2002 | 113 | |
| 4 | 2007 | 50 | |
| 5 | 2009 | 37 | |
| 6 | 2012 | 23 | |
| 7 | 2005 | 20 | |
| 8 | 2009 | 16 | |
| 9 | Lead Optimization in Discovery Drug Metabolism and Pharmacokinetics/Case study: The Hepatitis C Virus (HCV) Protease Inhibitor SCH 503034. | 2007 | 10 |
| 10 | 2007 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2014 | 6 | |
| 13 | 2009 | 3 | |
| 14 | 2023 | 2 |
About K.-C. Cheng
K.-C. Cheng is a scholar working on Oncology, Pharmacology, Biomedical Engineering, Computational Theory and Mathematics and Hepatology, having authored 14 papers that have together received 621 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (5 papers), 3D Printing in Biomedical Research (4 papers), Computational Drug Discovery Methods (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Hepatitis C virus research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Hepatology (147 citations), Pharmacology (156 citations), Biomedical Engineering (315 citations), Physical Therapy, Sports Therapy and Rehabilitation (25 citations) and Oncology (119 citations). K.-C. Cheng has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Eric Novik, Piyun Chao, Timothy J. Maguire, Martin L. Yarmush, Xiaoming Cui, Ronald E. White, Yau Yi Lau, Cheng Li, Tongtong Liu and Annette S. Uss. Their work appears in journals such as Biochemical Pharmacology, Drug Metabolism and Disposition, Toxicology in Vitro, SLAS DISCOVERY and Current Drug Metabolism.
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.