Ken C. N. Chang
- Molecular Biology top 10%
- Genetics top 2%
- Oncology top 5%
- Cancer Research top 5%
- Immunology
- Co-authors
- Barry S. KommBenita S. KatzenellenbogenJonna FrasorC. Richard LyttleJeanne M. DanesW. Lee KrausJoshua D. StenderSunil Nagpal
- Topics
- Estrogen and related hormone effects (7 papers)Cancer Genomics and Diagnostics (6 papers)CAR-T cell therapy research (3 papers)
- Cited by
- GeneticsCancer ResearchOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesJapanCanada
In The Last Decade
Ken C. N. Chang
19 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.2k
- Genetics 740
- Oncology 469
- Cancer Research 391
- Immunology 133
Countries citing papers authored by Ken C. N. Chang
This map shows the geographic impact of Ken C. N. 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 Ken C. N. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken C. N. Chang more than expected).
Fields of papers citing papers by Ken C. N. Chang
This network shows the impact of papers produced by Ken C. N. 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 Ken C. N. Chang. The network helps show where Ken C. N. Chang may publish in the future.
Co-authorship network of co-authors of Ken C. N. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ken C. N. Chang. A scholar is included among the top collaborators of Ken C. N. 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 Ken C. N. Chang. Ken C. N. 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 164 | |
| 12 | 71 | |
| 13 | 33 | |
| 14 | 62 | |
| 15 | 9 | |
| 16 | 58 | |
| 17 | 38 | |
| 18 | 97 | |
| 19 | 491 | |
| 20 | Profiling of Estrogen Up- and Down-Regulated Gene Expression in Human Breast Cancer Cells: Insights into Gene Networks and Pathways Underlying Estrogenic Control of Proliferation and Cell Phenotypebreakdown → | 685 |
About Ken C. N. Chang
Ken C. N. Chang is a scholar working on Cancer Research, Genetics and Hematology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Cancer Genomics and Diagnostics (6 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (740 citations), Cancer Research (391 citations) and Oncology (469 citations). Ken C. N. Chang has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Barry S. Komm, Benita S. Katzenellenbogen, Jonna Frasor, C. Richard Lyttle, Jeanne M. Danes, W. Lee Kraus, Joshua D. Stender, Sunil Nagpal, Michael C. Golding and Amit Kulkarni. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.