Min‐Chi Ku
Impact in
Papers in
-
- Advanced MRI Techniques and Applications 15
- MRI in cancer diagnosis 8
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- Cardiovascular Function and Risk Factors 6
- Cardiomyopathy and Myosin Studies 5
- Co-authors
- Thoralf Niendorf (24 shared papers)Jia‐Yi Wang (1 shared paper)Ya‐Ni Huang (1 shared paper)Andreas Pohlmann (17 shared papers)Helmut Kettenmann (7 shared papers)Michael Synowitz (5 shared papers)Susanne A. Wolf (5 shared papers)Sonia Waiczies (14 shared papers)
- Journals
- Scientific Reports (3 papers)Neuro-Oncology (2 papers)Journal of Cardiovascular Magnetic Resonance (2 papers)Molecular Cancer Therapeutics (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Min‐Chi Ku
32 papers receiving 819 citations
Peers
Comparison fields: 5 of 99
- Neurology 254
- Genetics 169
- Immunology 252
- Biological Psychiatry 26
- Developmental Neuroscience 38
Countries citing papers authored by Min‐Chi Ku
This map shows the geographic impact of Min‐Chi Ku'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 Min‐Chi Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Chi Ku more than expected).
Fields of papers citing papers by Min‐Chi Ku
This network shows the impact of papers produced by Min‐Chi Ku. 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 Min‐Chi Ku. The network helps show where Min‐Chi Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Min‐Chi Ku, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 188 | |
| 2 | 2013 | 117 | |
| 3 | 2014 | 96 | |
| 4 | 2013 | 95 | |
| 5 | 2017 | 51 | |
| 6 | 2013 | 36 | |
| 7 | 2020 | 34 | |
| 8 | 2015 | 33 | |
| 9 | 2018 | 22 | |
| 10 | 2015 | 20 | |
| 11 | 2005 | 19 | |
| 12 | 2020 | 17 | |
| 13 | 2015 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2005 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2017 | 8 | |
| 18 | 2016 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 5 |
About Min‐Chi Ku
Min‐Chi Ku is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Neurology, Immunology and Genetics, having authored 35 papers that have together received 830 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), MRI in cancer diagnosis (8 papers), Cardiovascular Function and Risk Factors (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Lanthanide and Transition Metal Complexes (5 papers), Cardiomyopathy and Myosin Studies (5 papers), Glioma Diagnosis and Treatment (5 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Neurology (254 citations), Genetics (169 citations), Immunology (252 citations), Biological Psychiatry (26 citations) and Developmental Neuroscience (38 citations). Min‐Chi Ku has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Thoralf Niendorf, Jia‐Yi Wang, Ya‐Ni Huang, Andreas Pohlmann, Helmut Kettenmann, Michael Synowitz, Susanne A. Wolf, Sonia Waiczies, Helmar Waiczies and Seija Lehnardt. Their work appears in journals such as Scientific Reports, Neuro-Oncology, Journal of Cardiovascular Magnetic Resonance, Molecular Cancer Therapeutics and British Journal of 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.