K.-C. Cheng
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
Papers in
- Oncology 6
- Drug Transport and Resistance Mechanisms 6
-
- Computational Drug Discovery Methods 5
- Co-authors
- Timothy J. Maguire (4 shared papers)Eric Novik (4 shared papers)Piyun Chao (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)Annette S. Uss (1 shared paper)
- Journals
- Biochemical Pharmacology (2 papers)The Journals of Gerontology Series A (1 paper)SLAS DISCOVERY (1 paper)Current Drug Metabolism (1 paper)Current Pharmaceutical Design (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
K.-C. Cheng
14 papers receiving 550 citations
Peers
Comparison fields: 5 of 79
- Hepatology 140
- Pharmacology 148
- Biomedical Engineering 307
- Physical Therapy, Sports Therapy and Rehabilitation 24
- Oncology 117
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 | 168 | |
| 2 | 2009 | 132 | |
| 3 | 2002 | 108 | |
| 4 | 2007 | 49 | |
| 5 | 2009 | 35 | |
| 6 | 2012 | 23 | |
| 7 | 2005 | 20 | |
| 8 | 2009 | 15 | |
| 9 | 2005 | 8 | |
| 10 | Lead Optimization in Discovery Drug Metabolism and Pharmacokinetics/Case study: The Hepatitis C Virus (HCV) Protease Inhibitor SCH 503034. | 2007 | 8 |
| 11 | 2007 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2023 | 2 | |
| 14 | 2009 | 2 |
About K.-C. Cheng
K.-C. Cheng is a scholar working on Oncology, Computational Theory and Mathematics, Pharmacology, Biomedical Engineering and Physical Therapy, Sports Therapy and Rehabilitation, having authored 14 papers that have together received 582 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (6 papers), Computational Drug Discovery Methods (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), 3D Printing in Biomedical Research (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Balance, Gait, and Falls Prevention (2 papers), Hepatitis C virus research (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Hepatology (140 citations), Pharmacology (148 citations), Biomedical Engineering (307 citations), Physical Therapy, Sports Therapy and Rehabilitation (24 citations) and Oncology (117 citations). K.-C. Cheng has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Timothy J. Maguire, Eric Novik, Piyun Chao, Martin L. Yarmush, Xiaoming Cui, Ronald E. White, Yau Yi Lau, Annette S. Uss, Tongtong Liu and Cheng Li. Their work appears in journals such as Biochemical Pharmacology, The Journals of Gerontology Series A, SLAS DISCOVERY, Current Drug Metabolism and Current Pharmaceutical Design.
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.