Kung-Chi Chang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- PI3K/AKT/mTOR signaling in cancer
- Protein Tyrosine Phosphatases
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 4
- Protein Tyrosine Phosphatases 1
- Ubiquitin and proteasome pathways 1
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- Cancer-related molecular mechanisms research 5
- Cancer Genomics and Diagnostics 1
- Co-authors
- Sarah D. Diermeier (4 shared papers)David L. Spector (5 shared papers)Edi Brogi (3 shared papers)Youngsoo Kim (2 shared papers)Larry Norton (2 shared papers)A. Robert MacLeod (2 shared papers)Mikala Egeblad (2 shared papers)Stephen Hearn (2 shared papers)
- Journals
- Cancer Research (3 papers)Breast Cancer Research (2 papers)Nature Communications (1 paper)Cell Reports (1 paper)npj Breast Cancer (1 paper)
- Partner nations
- United StatesTaiwanNew Zealand
In The Last Decade
Kung-Chi Chang
10 papers receiving 785 citations
Kung-Chi Chang's Hit Papers
Peers
Comparison fields: 5 of 55
- Cancer Research 500
- Molecular Biology 608
- Oncology 118
- Endocrinology 12
- Immunology 42
Countries citing papers authored by Kung-Chi Chang
This map shows the geographic impact of Kung-Chi 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 Kung-Chi Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kung-Chi Chang more than expected).
Fields of papers citing papers by Kung-Chi Chang
This network shows the impact of papers produced by Kung-Chi 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 Kung-Chi Chang. The network helps show where Kung-Chi Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kung-Chi 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 | Differentiation of mammary tumors and reduction in metastasis upon Malat1 lncRNA loss Hit paper breakdown → | 2015 | 473 |
| 2 | 2012 | 109 | |
| 3 | 2020 | 77 | |
| 4 | 2013 | 64 | |
| 5 | 2016 | 49 | |
| 6 | 2024 | 7 | |
| 7 | 2016 | 6 | |
| 8 | 2011 | 1 | |
| 9 | 2013 | 1 | |
| 10 | 2021 | 1 |
About Kung-Chi Chang
Kung-Chi Chang is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Biomedical Engineering, having authored 10 papers that have together received 788 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers), Protein Tyrosine Phosphatases (1 paper), Estrogen and related hormone effects (1 paper), Ubiquitin and proteasome pathways (1 paper), Cancer Genomics and Diagnostics (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (500 citations), Molecular Biology (608 citations), Oncology (118 citations), Endocrinology (12 citations) and Immunology (42 citations). Kung-Chi Chang has collaborated with scholars based in United States, Taiwan and New Zealand. Frequent co-authors include Sarah D. Diermeier, David L. Spector, Edi Brogi, Youngsoo Kim, Larry Norton, A. Robert MacLeod, Mikala Egeblad, Stephen Hearn, John E. Wilkinson and Martin Akerman. Their work appears in journals such as Cancer Research, Breast Cancer Research, Nature Communications, Cell Reports and npj Breast Cancer.
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.