John S. Kuo
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Estrogen and related hormone effects
- Health Informatics top 2%
Papers in
- Genetics 44
- Glioma Diagnosis and Treatment 42
- Co-authors
- Paul A. Clark (36 shared papers)Paul E. Micevych (10 shared papers)Galyna Bondar (5 shared papers)Hans Lambers (7 shared papers)Ray R. Zhang (13 shared papers)Minesh P. Mehta (8 shared papers)T. P. O'Brien (4 shared papers)Deepak Khuntia (6 shared papers)
- Journals
- Neurosurgery (25 papers)Journal of neurosurgery (5 papers)Annals of Plastic Surgery (4 papers)Planta (4 papers)Australian Journal of Botany (4 papers)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
John S. Kuo
196 papers receiving 7.9k citations
John S. Kuo's Hit Papers
Peers
Comparison fields: 5 of 195
- Genetics 1.3k
- Health Informatics 52
- Cancer Research 560
- Neurology 303
- Oncology 889
Countries citing papers authored by John S. Kuo
This map shows the geographic impact of John S. 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 John S. Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Kuo more than expected).
Fields of papers citing papers by John S. Kuo
This network shows the impact of papers produced by John S. 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 John S. Kuo. The network helps show where John S. Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. 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
Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Beyond the margins: real-time detection of cancer using targeted fluorophores Hit paper breakdown → | 2017 | 383 |
| 2 | 2010 | 268 | |
| 3 | 1990 | 220 | |
| 4 | 2012 | 216 | |
| 5 | 2007 | 161 | |
| 6 | 2013 | 154 | |
| 7 | 2010 | 153 | |
| 8 | 2010 | 146 | |
| 9 | 2021 | 141 | |
| 10 | 2004 | 133 | |
| 11 | 2011 | 130 | |
| 12 | 2006 | 129 | |
| 13 | 2016 | 128 | |
| 14 | 1998 | 123 | |
| 15 | 2013 | 122 | |
| 16 | 2009 | 113 | |
| 17 | 2016 | 111 | |
| 18 | 2012 | 110 | |
| 19 | 2003 | 102 | |
| 20 | 2020 | 98 |
About John S. Kuo
John S. Kuo is a scholar working on Molecular Biology, Genetics, Plant Science, Surgery and Pulmonary and Respiratory Medicine, having authored 199 papers that have together received 8.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (42 papers), Brain Metastases and Treatment (13 papers), MicroRNA in disease regulation (9 papers), Cancer Cells and Metastasis (9 papers), Meningioma and schwannoma management (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Radiopharmaceutical Chemistry and Applications (7 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Genetics (1.3k citations), Health Informatics (52 citations), Cancer Research (560 citations), Neurology (303 citations) and Oncology (889 citations). John S. Kuo has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Paul A. Clark, Paul E. Micevych, Galyna Bondar, Hans Lambers, Ray R. Zhang, Minesh P. Mehta, T. P. O'Brien, Deepak Khuntia, Wolfgang A. Tomé and Kevin W. Eliceiri. Their work appears in journals such as Neurosurgery, Journal of neurosurgery, Annals of Plastic Surgery, Planta and Australian Journal of Botany.
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.