Kai‐Ting Chang
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Angiogenesis and VEGF in Cancer 2
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- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Min‐Ying Su (4 shared papers)Chih‐Hsing Hung (3 shared papers)Chang‐Hung Kuo (3 shared papers)Hugo You‐Hsien Lin (8 shared papers)Jiance Li (1 shared paper)Yezhi Lin (1 shared paper)Daniel Chow (1 shared paper)Jiejie Zhou (1 shared paper)
- Journals
- Lara D. Veeken (2 papers)Frontiers in Public Health (1 paper)Circulation (1 paper)Environmental Toxicology (1 paper)Medicine (1 paper)
- Partner nations
- TaiwanUnited StatesSouth Sudan
In The Last Decade
Kai‐Ting Chang
22 papers receiving 542 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 11
- Radiology, Nuclear Medicine and Imaging 131
- Nephrology 34
- Dermatology 30
- Immunology and Allergy 18
Countries citing papers authored by Kai‐Ting Chang
This map shows the geographic impact of Kai‐Ting 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 Kai‐Ting Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Ting Chang more than expected).
Fields of papers citing papers by Kai‐Ting Chang
This network shows the impact of papers produced by Kai‐Ting 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 Kai‐Ting Chang. The network helps show where Kai‐Ting Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Ting 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 178 | |
| 2 | 2014 | 52 | |
| 3 | 2014 | 44 | |
| 4 | 2016 | 39 | |
| 5 | 2021 | 36 | |
| 6 | 2020 | 30 | |
| 7 | 2014 | 29 | |
| 8 | 2017 | 26 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 17 | |
| 11 | 2009 | 14 | |
| 12 | 2014 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 3 | |
| 18 | 2023 | 2 | |
| 19 | Abstract 16226: Deferoxamine Accelerates Senescence in Endothelial Progenitor Cells (EPC) in vitro and in vivo - A Promising Model for EPC Senescence Research | 2013 | 1 |
| 20 | 2023 | 1 |
About Kai‐Ting Chang
Kai‐Ting Chang is a scholar working on Molecular Biology, Nephrology, Cardiology and Cardiovascular Medicine, Physiology and Experimental and Cognitive Psychology, having authored 22 papers that have together received 546 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (2 papers), Blood Pressure and Hypertension Studies (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Sleep and related disorders (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Inflammation biomarkers and pathways (1 paper) and Liver physiology and pathology (1 paper). The work is most often cited by research in Health Informatics (11 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Nephrology (34 citations), Dermatology (30 citations) and Immunology and Allergy (18 citations). Kai‐Ting Chang has collaborated with scholars based in Taiwan, United States and South Sudan. Frequent co-authors include Min‐Ying Su, Chih‐Hsing Hung, Chang‐Hung Kuo, Hugo You‐Hsien Lin, Jiance Li, Yezhi Lin, Daniel Chow, Jiejie Zhou, Zhifang Pan and Yang Zhang. Their work appears in journals such as Lara D. Veeken, Frontiers in Public Health, Circulation, Environmental Toxicology and Medicine.
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.