Mark D. Kuo
Impact in
- Oncology top 5%
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Surgical Treatments
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- Gastric Cancer Management and Outcomes
Papers in
- Oncology 7
- Colorectal Cancer Screening and Detection 6
- Cancer Cells and Metastasis 1
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- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Peter T. Zimmerman (2 shared papers)Karen M. Horton (2 shared papers)Judy Yee (2 shared papers)Christine O. Menias (2 shared papers)Yiling Hong (1 shared paper)Robert A. Halvorsen (2 shared papers)Huei‐Wen Chen (1 shared paper)Abraham H. Dachman (2 shared papers)
- Journals
- American Journal of Roentgenology (3 papers)Obstetrical & Gynecological Survey (1 paper)New England Journal of Medicine (1 paper)Radiology (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- United StatesIsraelTaiwan
In The Last Decade
Mark D. Kuo
7 papers receiving 1.0k citations
Mark D. Kuo's Hit Papers
Peers
Comparison fields: 5 of 50
- Oncology 890
- Pulmonary and Respiratory Medicine 292
- Pathology and Forensic Medicine 153
- Radiology, Nuclear Medicine and Imaging 152
- Gastroenterology 23
Countries citing papers authored by Mark D. Kuo
This map shows the geographic impact of Mark D. Kuo'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 Mark D. Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Kuo more than expected).
Fields of papers citing papers by Mark D. Kuo
This network shows the impact of papers produced by Mark D. Kuo. 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 Mark D. Kuo. The network helps show where Mark D. Kuo may publish in the future.
Co-authors
The 21 scholars most cited alongside Mark D. Kuo, 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 | Accuracy of CT Colonography for Detection of Large Adenomas and Cancers Hit paper breakdown → | 2008 | 812 |
| 2 | 2008 | 208 | |
| 3 | 2010 | 38 | |
| 4 | 2011 | 18 | |
| 5 | 2011 | 15 | |
| 6 | 2023 | 12 | |
| 7 | 2014 | 6 |
About Mark D. Kuo
Mark D. Kuo is a scholar working on Oncology, Cancer Research, Cell Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (6 papers), Cancer Cells and Metastasis (1 paper), Caveolin-1 and cellular processes (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Oncology (890 citations), Pulmonary and Respiratory Medicine (292 citations), Pathology and Forensic Medicine (153 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Gastroenterology (23 citations). Mark D. Kuo has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Peter T. Zimmerman, Karen M. Horton, Judy Yee, Christine O. Menias, Yiling Hong, Robert A. Halvorsen, Huei‐Wen Chen, Abraham H. Dachman, Jeff L. Fidler and Amy K. Hara. Their work appears in journals such as American Journal of Roentgenology, Obstetrical & Gynecological Survey, New England Journal of Medicine, Radiology and International Journal of Oncology.
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.