Chi-Hsiung Chang
- Co-authors
- F.N. ChangYung‐Chi ChengFrancis JohnsonA.P. GrollmanStephen WillMasaru TakeshitaWoon Ki PaikBarry M. Dancis
- Topics
- Biochemical and Molecular Research (7 papers)RNA modifications and cancer (6 papers)RNA and protein synthesis mechanisms (5 papers)
- Partner nations
- United States
In The Last Decade
Chi-Hsiung Chang
16 papers receiving 724 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 680
- Oncology 108
- Genetics 79
- Cancer Research 66
- Infectious Diseases 55
Countries citing papers authored by Chi-Hsiung Chang
This map shows the geographic impact of Chi-Hsiung 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 Chi-Hsiung Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Hsiung Chang more than expected).
Fields of papers citing papers by Chi-Hsiung Chang
This network shows the impact of papers produced by Chi-Hsiung 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 Chi-Hsiung Chang. The network helps show where Chi-Hsiung Chang may publish in the future.
Co-authorship network of co-authors of Chi-Hsiung Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Hsiung Chang. A scholar is included among the top collaborators of Chi-Hsiung 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 Chi-Hsiung Chang. Chi-Hsiung 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 | 2 | |
| 2 | 375 | |
| 3 | Purification and some properties of a deoxyribonucleoside kinase from L1210 cells. | 9 |
| 4 | Effects of deoxyadenosine triphosphate and 9-beta-D-arabinofuranosyl-adenine 5'-triphosphate on human ribonucleotide reductase from Molt-4F cells and the concept of "self-potentiation". | 26 |
| 5 | Demonstration of two components and association of adenosine diphosphate-cytidine diphosphate reductase from cultured human lymphoblast cells (Molt-4F). | 33 |
| 6 | Effects of nucleoside triphosphates on human ribonucleotide reductase from Molt-4F cells. | 36 |
| 7 | 10 | |
| 8 | Substrate specificity of human ribonucleotide reductase from Molt-4F cells. | 38 |
| 9 | 4 | |
| 10 | 15 | |
| 11 | 12 | |
| 12 | 51 | |
| 13 | 25 | |
| 14 | 61 | |
| 15 | 25 | |
| 16 | 45 |
About Chi-Hsiung Chang
Chi-Hsiung Chang is a scholar working on Physiology, Infectious Diseases and Molecular Biology, having authored 16 papers that have together received 767 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Molecular Biology (680 citations), Physiology (29 citations) and Cancer Research (66 citations). Chi-Hsiung Chang has collaborated with scholars based in United States. Frequent co-authors include F.N. Chang, Yung‐Chi Cheng, Francis Johnson, A.P. Grollman, Stephen Will, Masaru Takeshita, Woon Ki Paik, Barry M. Dancis, Michael D. Schwartz and R W Brockman. Their work appears in journals such as Nature, Journal of Biological Chemistry and Biochemistry.
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.