Michael D. Kuo

715 citations
32 papers · 538 · h-index 12

Impact in

Papers in

Michael D. Kuo

29 papers receiving 523 citations

Peers

Michael D. Kuo
Comparison fields: 5 of 90
  • Radiology, Nuclear Medicine and Imaging 165
  • Cancer Research 71
  • Emergency Medical Services 26
  • Microbiology 3
  • Pulmonary and Respiratory Medicine 107
Replace Xiao-ling YAN with:
Xiao-ling YAN China
Negin Rahimzadeh United States
Jing Ren China
Emma Roxanne Mulder Netherlands
Stefania Barone Italy
Mary Qiu United States
Eleftherios I. Agorogiannis United Kingdom
Shiva Gupta United States
Mojib Javadi Canada
Kariem Sharaf Germany
Michael D. Kuo relative to Xiao-ling YAN China Xiao-ling YAN's profile →
Citations per field
00.5×2×4×6.6×
Xiao-ling YAN · 1×
Citations per year

Countries citing papers authored by Michael D. Kuo

Since Specialization
Citations

This map shows the geographic impact of Michael 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 Michael 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 Michael D. Kuo more than expected).

Fields of papers citing papers by Michael D. Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael 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 Michael D. Kuo. The network helps show where Michael D. Kuo may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. 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 Michael D. Kuo Line = papers co-authored together Michael D. Kuo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014200
2 201581
3 201632
4 199826
5 201121
6 200518
7 201115
8 202014
9 199813
10 200113
11 201212
12 201212
13 200610
14 20099
15 20129
16 20079
17 20067
18 20137
19 20066
20 20135

About Michael D. Kuo

Michael D. Kuo is a scholar working on Cancer Research, Psychiatry and Mental health, Cognitive Neuroscience, Emergency Medical Services and Molecular Biology, having authored 32 papers that have together received 538 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Neurobiology of Language and Bilingualism (4 papers), Memory Processes and Influences (4 papers), Gene expression and cancer classification (4 papers), Neural and Behavioral Psychology Studies (3 papers), Dementia and Cognitive Impairment Research (3 papers), Central Venous Catheters and Hemodialysis (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (165 citations), Cancer Research (71 citations), Emergency Medical Services (26 citations), Microbiology (3 citations) and Pulmonary and Respiratory Medicine (107 citations). Michael D. Kuo has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Neema Jamshidi, Karen P. Y. Liu, Chetwyn C. H. Chan, Alda Lui Tam, Robert James Webster III, Etay Ziv, Suzanne E. Davis, Ignacio Ivan Wistuba, Kamran Ahrar and Albert Hsiao. Their work appears in journals such as Journal of Vascular and Interventional Radiology, Radiology, Clinical Journal of Sport Medicine, Radiographics and Brain Research.

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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