Daniel T. Chang
- Health, Toxicology and Mutagenesis top 10%
- Computational Theory and Mathematics top 5%
- Plant Science
- Atomic and Molecular Physics, and Optics
- Molecular Biology
- Co-authors
- Rogelio Tornero‐VelezJohn C. LightYu‐Mei TanMichael‐Rock GoldsmithBruce C. GarrettGregory I. GelleneChris GrulkeGregory K. Schenter
- Topics
- Computational Drug Discovery Methods (12 papers)Advanced Chemical Physics Studies (5 papers)Advanced Database Systems and Queries (4 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Daniel T. Chang
39 papers receiving 416 citations
Peers
Comparison fields: 5 of 104
- Health, Toxicology and Mutagenesis 124
- Computational Theory and Mathematics 88
- Plant Science 84
- Atomic and Molecular Physics, and Optics 78
- Molecular Biology 61
Countries citing papers authored by Daniel T. Chang
This map shows the geographic impact of Daniel T. 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 Daniel T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Chang more than expected).
Fields of papers citing papers by Daniel T. Chang
This network shows the impact of papers produced by Daniel T. 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 Daniel T. Chang. The network helps show where Daniel T. Chang may publish in the future.
Co-authorship network of co-authors of Daniel T. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Chang. A scholar is included among the top collaborators of Daniel T. Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel T. Chang. Daniel T. Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 34 | |
| 11 | 23 | |
| 12 | High-performance inter-organizational interaction for disaster response: An evolutionary game | 2 |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 35 | |
| 17 | 60 | |
| 18 | 38 | |
| 19 | 7 | |
| 20 | 9 |
About Daniel T. Chang
Daniel T. Chang is a scholar working on Computational Theory and Mathematics, Small Animals and Pharmacology, having authored 40 papers that have together received 425 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Advanced Chemical Physics Studies (5 papers) and Advanced Database Systems and Queries (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (124 citations), Chemical Health and Safety (5 citations) and Small Animals (48 citations). Daniel T. Chang has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Rogelio Tornero‐Velez, John C. Light, Yu‐Mei Tan, Michael‐Rock Goldsmith, Bruce C. Garrett, Gregory I. Gellene, Chris Grulke, Gregory K. Schenter, Michael R. Goldsmith and Jeremy A. Leonard. Their work appears in journals such as The Journal of Chemical Physics, Environmental Science & Technology and Scientific Reports.
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.