David Chuang
Impact in
- Clinical Biochemistry top 0.1%
- Metabolism and Genetic Disorders
- Biochemistry top 0.1%
- Biochemical Acid Research Studies
Papers in
-
- Metabolism and Genetic Disorders 77
- Biochemistry 77
- Biochemical Acid Research Studies 70
- Co-authors
- Richard Wynn (57 shared papers)Jacinta L. Chuang (45 shared papers)Jiu-Li Song (9 shared papers)Masato Kato (8 shared papers)Jun Li (10 shared papers)R. P. Cox (14 shared papers)Steven J. Ludtke (5 shared papers)Wah Chiu (5 shared papers)
- Journals
- Journal of Biological Chemistry (47 papers)Structure (9 papers)Biochemical Journal (7 papers)Methods in enzymology on CD-ROM/Methods in enzymology (6 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesVietnamAustralia
In The Last Decade
David Chuang
132 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 144
- Clinical Biochemistry 1.7k
- Biochemistry 1.6k
- Structural Biology 271
- Molecular Biology 2.9k
- Cell Biology 502
Countries citing papers authored by David Chuang
This map shows the geographic impact of David Chuang'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 David Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chuang more than expected).
Fields of papers citing papers by David Chuang
This network shows the impact of papers produced by David Chuang. 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 David Chuang. The network helps show where David Chuang may publish in the future.
Co-authors
The 25 scholars most cited alongside David Chuang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 226 | |
| 2 | 2007 | 176 | |
| 3 | 2004 | 169 | |
| 4 | 2008 | 143 | |
| 5 | 2000 | 133 | |
| 6 | 2001 | 116 | |
| 7 | 2008 | 101 | |
| 8 | 2005 | 100 | |
| 9 | 2006 | 94 | |
| 10 | 2005 | 92 | |
| 11 | 2013 | 88 | |
| 12 | 2006 | 88 | |
| 13 | 2007 | 80 | |
| 14 | 2009 | 78 | |
| 15 | 2014 | 72 | |
| 16 | 2010 | 69 | |
| 17 | 1988 | 69 | |
| 18 | 1984 | 66 | |
| 19 | 2008 | 65 | |
| 20 | 2001 | 65 |
About David Chuang
David Chuang is a scholar working on Clinical Biochemistry, Biochemistry, Molecular Biology, Materials Chemistry and Neurology, having authored 135 papers that have together received 4.7k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (77 papers), Biochemical Acid Research Studies (70 papers), Enzyme Structure and Function (21 papers), Biochemical and Molecular Research (19 papers), Alcoholism and Thiamine Deficiency (19 papers), Diet and metabolism studies (17 papers), Muscle metabolism and nutrition (16 papers) and Mitochondrial Function and Pathology (13 papers). The work is most often cited by research in Clinical Biochemistry (1.7k citations), Biochemistry (1.6k citations), Structural Biology (271 citations), Molecular Biology (2.9k citations) and Cell Biology (502 citations). David Chuang has collaborated with scholars based in United States, Vietnam and Australia. Frequent co-authors include Richard Wynn, Jacinta L. Chuang, Jiu-Li Song, Masato Kato, Jun Li, R. P. Cox, Steven J. Ludtke, Wah Chiu, Kim S. Lau and Mischa Machius. Their work appears in journals such as Journal of Biological Chemistry, Structure, Biochemical Journal, Methods in enzymology on CD-ROM/Methods in enzymology and Proceedings of the National Academy of 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.