Kai‐Ting Chang
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
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- Dialysis and Renal Disease Management 4
- Renal function and acid-base balance 2
-
- Angiogenesis and VEGF in Cancer 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)Jiejie Zhou (1 shared paper)Daniel Chow (1 shared paper)Ouchen Wang (1 shared paper)Zhifang Pan (1 shared paper)
- Journals
- Lara D. Veeken (2 papers)Journal of Structural Biology (1 paper)BMJ Open (1 paper)Medicine (1 paper)Journal of Microbiology Immunology and Infection (1 paper)
- Partner nations
- TaiwanUnited StatesSouth Sudan
In The Last Decade
Kai‐Ting Chang
22 papers receiving 519 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 12
- Radiology, Nuclear Medicine and Imaging 200
- Nephrology 36
- Genetics 43
- Immunology and Allergy 21
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 | 169 | |
| 2 | 2014 | 52 | |
| 3 | 2014 | 43 | |
| 4 | 2016 | 38 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 30 | |
| 7 | 2014 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 16 | |
| 11 | 2017 | 13 | |
| 12 | 2009 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2016 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 2 | |
| 18 | 2015 | 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 | 2022 | 1 |
About Kai‐Ting Chang
Kai‐Ting Chang is a scholar working on Nephrology, Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology and Immunology, having authored 22 papers that have together received 524 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Dialysis and Renal Disease Management (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Alcohol Consumption and Health Effects (2 papers), AI in cancer detection (2 papers), Renal function and acid-base balance (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Health Informatics (12 citations), Radiology, Nuclear Medicine and Imaging (200 citations), Nephrology (36 citations), Genetics (43 citations) and Immunology and Allergy (21 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, Jiejie Zhou, Daniel Chow, Ouchen Wang, Zhifang Pan, Peter Chang and Yezhi Lin. Their work appears in journals such as Lara D. Veeken, Journal of Structural Biology, BMJ Open, Medicine and Journal of Microbiology Immunology and Infection.
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.