D. K. Chang
Impact in
- Virology top 10%
- HIV Research and Treatment
- Biomaterials top 10%
- Calcium Carbonate Crystallization and Inhibition
Papers in
-
- Protein Structure and Dynamics 5
- DNA and Nucleic Acid Chemistry 3
- Glycosylation and Glycoproteins Research 2
- Ion channel regulation and function 1
- Genetics 7
- Connective tissue disorders research 6
- Co-authors
- Dan W. Urry (7 shared papers)Shu‐Fang Cheng (1 shared paper)Mary E. Marsh (1 shared paper)Kari U. Prasad (3 shared papers)Charles Anderson (1 shared paper)Lars Nordenskiöld (1 shared paper)M. Thomas Record (1 shared paper)C. M. Venkatachalam (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Virology (1 paper)Chemistry and Physics of Lipids (1 paper)International Journal of Quantum Chemistry (1 paper)Journal of Computational Chemistry (1 paper)
- Partner nations
- United StatesTaiwanFrance
In The Last Decade
D. K. Chang
15 papers receiving 405 citations
Peers
Comparison fields: 5 of 80
- Virology 42
- Biomaterials 99
- Paleontology 40
- Molecular Biology 235
- Genetics 93
Countries citing papers authored by D. K. Chang
This map shows the geographic impact of D. K. Chang'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 D. K. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. K. Chang more than expected).
Fields of papers citing papers by D. K. Chang
This network shows the impact of papers produced by D. K. Chang. 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 D. K. Chang. The network helps show where D. K. Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside D. K. Chang, 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 | 1997 | 83 | |
| 2 | 1992 | 77 | |
| 3 | 1984 | 64 | |
| 4 | 1989 | 39 | |
| 5 | 1989 | 36 | |
| 6 | 1994 | 29 | |
| 7 | 1989 | 22 | |
| 8 | 2000 | 15 | |
| 9 | 1988 | 15 | |
| 10 | 1996 | 14 | |
| 11 | 1987 | 7 | |
| 12 | 1989 | 5 | |
| 13 | 1991 | 3 | |
| 14 | 1987 | 3 | |
| 15 | 1989 | 2 |
About D. K. Chang
D. K. Chang is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Infectious Diseases and Pharmacology, having authored 15 papers that have together received 414 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (6 papers), Connective tissue disorders research (6 papers), Protein Structure and Dynamics (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Glycosylation and Glycoproteins Research (2 papers), Alzheimer's disease research and treatments (1 paper), Ion channel regulation and function (1 paper) and Mechanical Engineering and Vibrations Research (1 paper). The work is most often cited by research in Virology (42 citations), Biomaterials (99 citations), Paleontology (40 citations), Molecular Biology (235 citations) and Genetics (93 citations). D. K. Chang has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Dan W. Urry, Shu‐Fang Cheng, Mary E. Marsh, Kari U. Prasad, Charles Anderson, Lars Nordenskiöld, M. Thomas Record, C. M. Venkatachalam, G. Jayaraman and N. Rama Krishna. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Chemistry and Physics of Lipids, International Journal of Quantum Chemistry and Journal of Computational Chemistry.
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.