John S. Kuo

11.1k citations
199 papers · 8.2k indexed · 1 hit paper · h-index 54

Impact in

Papers in

John S. Kuo

196 papers receiving 7.9k citations

Hit Papers

Beyond the margins: real-time detection of cancer using targeted fluorophores 2017 · 383 citations
3832017202620202023100200300

Peers

John S. Kuo
Comparison fields: 5 of 195
  • Genetics 1.3k
  • Health Informatics 52
  • Cancer Research 560
  • Neurology 303
  • Oncology 889
Replace Rudi Balling with:
Rudi Balling Germany
Calum A. MacRae United States
John D. McPherson United States
João Pedro de Magalhães United Kingdom
Jie Qiao China
Keiichi I. Nakayama Japan
Po‐Ru Loh United States
Edwin Cuppen Netherlands
Pierre Chambon France
Bor Luen Tang Singapore
John S. Kuo relative to Rudi Balling Germany Rudi Balling's profile →
Citations per field
00.5×3.8×
Rudi Balling · 1×
Citations per year

Countries citing papers authored by John S. Kuo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with John S. Kuo Line = papers co-authored together John S. Kuo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202393
2 20220
3 202162
4 202018
5 202098
6 201835
7 201719
8 201738
9 201638
10 201457
11 201476
12 201236
13 201131
14 20091
15 200933
16 200928
17
A new species of cyanobacterial symbiont from the marine sponge Chondrilla nucula
200437
18 200493
19 198541
20 198210

About John S. Kuo

John S. Kuo is a scholar working on Genetics, Behavioral Neuroscience, Cancer Research, Neurology and Neurology, 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), Cancer, Hypoxia, and Metabolism (8 papers), Meningioma and schwannoma management (8 papers), Medical Imaging Techniques and Applications (7 papers) and Radiopharmaceutical Chemistry 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.

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