Ching‐Chung Ko
Impact in
-
- Anesthesia and Sedative Agents
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
- Neurology 14
- Neurofibromatosis and Schwannoma Cases 5
- Epidemiology 13
- Meningioma and schwannoma management 8
- Co-authors
- Yu‐Ting Kuo (9 shared papers)Tai-Yuan Chen (19 shared papers)Sher-Wei Lim (13 shared papers)Jeon‐Hor Chen (14 shared papers)Lee‐Ren Yeh (4 shared papers)Kuo‐Chuan Hung (17 shared papers)Jeon‐Hor Chen (2 shared papers)Te‐Chang Wu (15 shared papers)
- Journals
- Scientific Reports (3 papers)Frontiers in Medicine (2 papers)Frontiers in Neurology (2 papers)Frontiers in Oncology (2 papers)Neuroradiology (1 paper)
- Partner nations
- TaiwanUnited StatesMacao
In The Last Decade
Ching‐Chung Ko
47 papers receiving 532 citations
Peers
Comparison fields: 5 of 93
- Anesthesiology and Pain Medicine 74
- Genetics 110
- Neurology 116
- Radiology, Nuclear Medicine and Imaging 162
- Developmental Neuroscience 26
Countries citing papers authored by Ching‐Chung Ko
This map shows the geographic impact of Ching‐Chung Ko'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 Ching‐Chung Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Chung Ko more than expected).
Fields of papers citing papers by Ching‐Chung Ko
This network shows the impact of papers produced by Ching‐Chung Ko. 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 Ching‐Chung Ko. The network helps show where Ching‐Chung Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Chung Ko, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 85 | |
| 2 | 2023 | 55 | |
| 3 | 2019 | 52 | |
| 4 | 2021 | 33 | |
| 5 | 2020 | 30 | |
| 6 | 2022 | 19 | |
| 7 | 2018 | 18 | |
| 8 | 2011 | 17 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Ching‐Chung Ko
Ching‐Chung Ko is a scholar working on Neurology, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 536 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (8 papers), Glioma Diagnosis and Treatment (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Intensive Care Unit Cognitive Disorders (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (74 citations), Genetics (110 citations), Neurology (116 citations), Radiology, Nuclear Medicine and Imaging (162 citations) and Developmental Neuroscience (26 citations). Ching‐Chung Ko has collaborated with scholars based in Taiwan, United States and Macao. Frequent co-authors include Yu‐Ting Kuo, Tai-Yuan Chen, Sher-Wei Lim, Jeon‐Hor Chen, Lee‐Ren Yeh, Kuo‐Chuan Hung, Jeon‐Hor Chen, Te‐Chang Wu, Cheuk‐Kwan Sun and Min‐Ying Su. Their work appears in journals such as Scientific Reports, Frontiers in Medicine, Frontiers in Neurology, Frontiers in Oncology and Neuroradiology.
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.