Michael D. Kuo

700 total citations
29 papers, 303 citations indexed

About

Michael D. Kuo is a scholar working on Molecular Biology, Cognitive Neuroscience and Cancer Research. According to data from OpenAlex, Michael D. Kuo has authored 29 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cognitive Neuroscience and 6 papers in Cancer Research. Recurrent topics in Michael D. Kuo's work include Cancer Genomics and Diagnostics (5 papers), Memory Processes and Influences (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Michael D. Kuo is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Memory Processes and Influences (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Michael D. Kuo collaborates with scholars based in United States, China and Hong Kong. Michael D. Kuo's co-authors include Karen P. Y. Liu, Chetwyn C. H. Chan, Alda L. Tam, Howard J. Lim, Sarah B. White, Robert J. Webster, K.H. Ting, Gregory S. Fischer, Albert J. Shih and Anobel Tamrazi and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Brain Research.

In The Last Decade

Michael D. Kuo

26 papers receiving 297 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael D. Kuo United States 11 86 57 54 49 42 29 303
Carin Stenlund Sweden 9 53 0.6× 30 0.5× 39 0.7× 69 1.4× 19 0.5× 11 550
Yeu-Sheng Tyan Taiwan 12 65 0.8× 66 1.2× 101 1.9× 30 0.6× 47 1.1× 27 338
Jeremy Williams United States 12 24 0.3× 184 3.2× 14 0.3× 91 1.9× 29 0.7× 15 363
Brian Hoyt United States 8 72 0.8× 27 0.5× 25 0.5× 30 0.6× 20 0.5× 25 278
Thomas Kurian United States 7 234 2.7× 45 0.8× 17 0.3× 16 0.3× 100 2.4× 22 443
Qing Ma China 12 55 0.6× 88 1.5× 87 1.6× 43 0.9× 18 0.4× 30 356
Michael Kader United States 9 21 0.2× 44 0.8× 25 0.5× 7 0.1× 44 1.0× 16 227
Mariela Torrente A Chile 9 38 0.4× 59 1.0× 15 0.3× 55 1.1× 82 2.0× 29 351
Hisashi Kida Japan 9 35 0.4× 65 1.1× 24 0.4× 14 0.3× 42 1.0× 33 298
Alexandra Simpson United States 8 73 0.8× 78 1.4× 11 0.2× 19 0.4× 57 1.4× 14 491

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-authorship network of co-authors of Michael D. Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Kuo. A scholar is included among the top collaborators of Michael D. Kuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael D. Kuo. Michael D. Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chan, Sunny Ho‐Wan, et al.. (2023). Clinical effectiveness of mindfulness-based music therapy on improving emotional regulation in blind older women: A randomized controlled trial. Integrative Medicine Research. 12(4). 100993–100993. 4 indexed citations
2.
Fraser, Melissa A., et al.. (2022). Evidence to Eliminate Double-Leg Conditions From the Modified Balance Error Scoring System and Balance Error Scoring System. Clinical Journal of Sport Medicine. 32(5). e521–e526.
3.
Kuo, Michael D., et al.. (2021). Validation of the Chinese Version of Dementia Quality of Life Measure - Proxy in Care Home Residents with Dementia. PubMed. 31(1). 9–12. 1 indexed citations
4.
Fraser, Melissa A., et al.. (2020). Concussion Baseline Retesting Is Necessary When Initial Scores Are Low. Clinical Journal of Sport Medicine. 32(1). e40–e51. 2 indexed citations
5.
Tam, Alda L., Howard J. Lim, Ignacio I. Wistuba, et al.. (2015). Image-Guided Biopsy in the Era of Personalized Cancer Care: Proceedings from the Society of Interventional Radiology Research Consensus Panel. Journal of Vascular and Interventional Radiology. 27(1). 8–19. 72 indexed citations
6.
Kuo, Michael D., Karen P. Y. Liu, K.H. Ting, & Chetwyn C. H. Chan. (2013). Age-related effects on perceptual and semantic encoding in memory. Neuroscience. 261. 95–106. 7 indexed citations
7.
Miller, Franklin J., et al.. (2013). Evaluating Patency Rates of an Ultralow-Porosity Expanded Polytetrafluoroethylene Covered Stent in the Treatment of Venous Stenosis in Arteriovenous Dialysis Circuits. Journal of Vascular and Interventional Radiology. 25(2). 183–189. 5 indexed citations
8.
Kuo, Michael D., Karen P. Y. Liu, K.H. Ting, & Chetwyn C. H. Chan. (2012). Differentiation of perceptual and semantic subsequent memory effects using an orthographic paradigm. Brain Research. 1486. 82–91. 12 indexed citations
9.
Miller, Frank J., et al.. (2011). Evaluation of Expanded Polytetrafluoroethylene–covered Stents for the Treatment of Venous Outflow Stenosis in Hemodialysis Access Grafts. Journal of Vascular and Interventional Radiology. 22(5). 647–653. 14 indexed citations
10.
11.
Nikolic, Boris, Salomão Faintuch, S. Nahum Goldberg, Michael D. Kuo, & John F. Cardella. (2009). Stem Cell Therapy: A Primer for Interventionalists and Imagers. Journal of Vascular and Interventional Radiology. 20(8). 999–1012. 8 indexed citations
12.
Kuo, Michael D., et al.. (2007). Salvage of a Failing Dialysis Graft by Percutaneous Creation of a Jump Bypass Graft. Journal of Vascular and Interventional Radiology. 18(8). 1054–1058. 8 indexed citations
13.
Zhang, Fan, et al.. (2006). E. coli Promoter Prediction Using Feed-Forward Neural Networks. PubMed. 2006. 2025–2027. 7 indexed citations
14.
Hsiao, Albert & Michael D. Kuo. (2006). High-throughput Biology in the Postgenomic Era. Journal of Vascular and Interventional Radiology. 17(7). 1077–1085. 10 indexed citations
15.
Nardini, Christine, Sungroh Yoon, Enrico Macii, et al.. (2006). Mining Gene Sets for Measuring Similarities. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2109. 227–232. 1 indexed citations
16.
Scheel, John R. & Michael D. Kuo. (2006). Exploring the Human Genome in Cancer with Genomic Approaches. Journal of Vascular and Interventional Radiology. 17(8). 1225–1233. 6 indexed citations
17.
Kuo, Michael D.. (2005). Morels. 14 indexed citations
18.
Waugh, Jacob M., Jia Li-Hawkins, Eser Yüksel, et al.. (2001). Therapeutic Elastase Inhibition by Alpha-1-Antitrypsin Gene Transfer Limits Neointima Formation in Normal Rabbits. Journal of Vascular and Interventional Radiology. 12(10). 1203–1209. 11 indexed citations
19.
Thomas, James W., Michael D. Kuo, M. L. Chawla, et al.. (1998). Vascular gene therapy.. Radiographics. 18(6). 1373–1394. 24 indexed citations
20.
Kuo, Michael D., Jacob M. Waugh, E. Yüksel, et al.. (1998). 1998 ARRS President's Award. The potential of in vivo vascular tissue engineering for the treatment of vascular thrombosis: a preliminary report. American Roentgen Ray Society.. American Journal of Roentgenology. 171(3). 553–558. 11 indexed citations

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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