Michael Kuo

7.9k total citations · 2 hit papers
70 papers, 5.7k citations indexed

About

Michael Kuo is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Michael Kuo has authored 70 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Pulmonary and Respiratory Medicine and 15 papers in Surgery. Recurrent topics in Michael Kuo's work include Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Imaging Techniques and Applications (7 papers) and Glioma Diagnosis and Treatment (5 papers). Michael Kuo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (23 papers), Medical Imaging Techniques and Applications (7 papers) and Glioma Diagnosis and Treatment (5 papers). Michael Kuo collaborates with scholars based in United States, Hong Kong and United Kingdom. Michael Kuo's co-authors include Robert C. Orth, Aaron M. Rutman, Michael B. Wallace, Macy Mei‐Sze Lui, Christine Shing-Yen Lo, Ming‐Yen Ng, Elaine Lee, Claude B. Sirlin, Ronald L. Korn and Shota Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Oncology.

In The Last Decade

Michael Kuo

70 papers receiving 5.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19

2020 1.0k citations Siu Ting Leung, Macy Mei‐Sze Lui et al. Radiology profile →
Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review

2020 743 citations Ming‐Yen Ng, Macy Mei‐Sze Lui et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Kuo United States	30	3.5k	1.5k	875	771	682	70	5.7k
Arturo Chiti Italy	46	3.6k 1.0×	2.4k 1.6×	1.9k 2.2×	183 0.2×	594 0.9×	283	7.4k
Olivier Rouvière France	47	4.3k 1.2×	7.5k 5.1×	461 0.5×	594 0.8×	1.6k 2.3×	219	10.6k
Olivier Pradier France	39	3.2k 0.9×	1.8k 1.2×	1.1k 1.2×	159 0.2×	731 1.1×	223	6.3k
Laure Fournier France	30	1.4k 0.4×	961 0.7×	590 0.7×	241 0.3×	433 0.6×	136	3.5k
Martina Sollini Italy	33	1.9k 0.5×	922 0.6×	653 0.7×	152 0.2×	449 0.7×	127	3.2k
Ukihide Tateishi Japan	44	2.4k 0.7×	3.6k 2.4×	2.0k 2.3×	127 0.2×	348 0.5×	328	7.1k
Helmut Prosch Austria	38	1.5k 0.4×	1.5k 1.0×	851 1.0×	726 0.9×	525 0.8×	227	4.8k
Ho Yun Lee South Korea	43	2.9k 0.8×	4.2k 2.9×	967 1.1×	91 0.1×	559 0.8×	192	5.7k
Aytekin Oto United States	43	2.8k 0.8×	3.3k 2.3×	419 0.5×	114 0.1×	407 0.6×	236	6.4k
Philippe Soyer France	49	2.3k 0.7×	1.7k 1.1×	1.7k 2.0×	146 0.2×	401 0.6×	371	9.0k

Countries citing papers authored by Michael Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Michael Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kuo. A scholar is included among the top collaborators of Michael 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 Kuo. Michael Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jamshidi, Neema, et al.. (2023). Construction of a radiogenomic association map of pancreatic ductal adenocarcinoma. BMC Cancer. 23(1). 189–189. 3 indexed citations

Kuo, Michael, et al.. (2023). A Review of EXIT: Interventions for Neonatal Airway Rescue. Current Otorhinolaryngology Reports. 11(1). 27–36. 1 indexed citations

Kuo, Michael, K.W. Chiu, David S. Wang, et al.. (2022). Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients. European Radiology. 33(1). 23–33. 8 indexed citations

Li, Xiaomeng, et al.. (2021). Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment. IEEE Transactions on Medical Imaging. 41(5). 1255–1268. 11 indexed citations

Kuo, Michael, M. Marcel Maya, Vivien Bonert, & Шломо Мелмед. (2020). Prospective Evaluation of Incidental Pituitary Imaging Findings in the Sella Turcica. Journal of the Endocrine Society. 5(2). bvaa186–bvaa186. 14 indexed citations

Chiu, K.W., Varut Vardhanabhuti, Philip L. H. Yu, et al.. (2020). Detection of COVID-19 Using Deep Learning Algorithms on Chest Radiographs. Journal of Thoracic Imaging. 35(6). 369–376. 11 indexed citations

Ghobadi, Armin, Premal H. Thaker, David Weng, et al.. (2019). Abstract CT159: A phase 1 study of intraperitoneal MCY-M11 therapy for women with platinum resistant high grade serous adenocarcinoma of the ovary, primary peritoneum, or fallopian tube, or subjects with peritoneal mesothelioma with recurrence after prior chemotherapy. Cancer Research. 79(13_Supplement). CT159–CT159. 1 indexed citations

Yamamoto, Shota, Danshan Huang, Liutao Du, et al.. (2016). Radiogenomic Analysis Demonstrates Associations between¹⁸F-Fluoro-2-Deoxyglucose PET, Prognosis, and Epithelial-Mesenchymal Transition in Non–Small Cell Lung Cancer. Radiology. 280(1). 261–270. 31 indexed citations

Baerlocher, Mark O., Boris Nikolic, James E. Silberzweig, et al.. (2013). Society of Interventional Radiology Position Statement on Recent Change to the ASA’s Moderate Sedation Standards: Capnography. Journal of Vascular and Interventional Radiology. 24(7). 939–940. 12 indexed citations

10.

Jamshidi, Neema, Maximilian Diehn, Markus Bredel, & Michael Kuo. (2013). Illuminating Radiogenomic Characteristics of Glioblastoma Multiforme through Integration of MR Imaging, Messenger RNA Expression, and DNA Copy Number Variation. Radiology. 270(1). 1–2. 103 indexed citations

11.

Barr, John D., Mary E. Jensen, Joshua A Hirsch, et al.. (2013). Position Statement on Percutaneous Vertebral Augmentation: A Consensus Statement Developed by the Society of Interventional Radiology (SIR), American Association of Neurological Surgeons (AANS) and the Congress of Neurological Surgeons (CNS), American College of Radiology (ACR), American Society of Neuroradiology (ASNR), American Society of Spine Radiology (ASSR), Canadian Interventional Radiology Association (CIRA), and the Society of NeuroInterventional Surgery (SNIS). Journal of Vascular and Interventional Radiology. 25(2). 171–181. 77 indexed citations

12.

Murphy, Timothy F., Michael Kuo, James F. Benenati, et al.. (2011). Position Statement by the Society of Interventional Radiology: Maintenance of Privileges for Image-guided Interventions. Journal of Vascular and Interventional Radiology. 22(10). 1353–1354. 4 indexed citations

13.

Kuo, Michael & Shota Yamamoto. (2011). Next Generation Radiologic-Pathologic Correlation in Oncology: Rad-Path 2.0. American Journal of Roentgenology. 197(4). 990–997. 25 indexed citations

14.

Kuo, Michael, et al.. (2010). 100 Cool Mushrooms. 7 indexed citations

15.

Orth, Robert C., Michael B. Wallace, & Michael Kuo. (2009). C-arm Cone-beam CT: General Principles and Technical Considerations for Use in Interventional Radiology. Journal of Vascular and Interventional Radiology. 20(7). S538–S544. 233 indexed citations

16.

Diehn, Maximilian, Christine Nardini, David S. Wang, et al.. (2008). Identification of noninvasive imaging surrogates for brain tumor gene-expression modules. Proceedings of the National Academy of Sciences. 105(13). 5213–5218. 345 indexed citations

17.

Wang, David S., Larry F. Chu, Scott E. Olson, et al.. (2008). Comparative Evaluation of Noninvasive Compression Adjuncts for Hemostasis in Percutaneous Arterial, Venous, and Arteriovenous Dialysis Access Procedures. Journal of Vascular and Interventional Radiology. 19(1). 72–79. 8 indexed citations

18.

Wallace, Michael B., Michael Kuo, Craig B. Glaiberman, et al.. (2008). Three-Dimensional C-arm Cone-beam CT: Applications in the Interventional Suite. Journal of Vascular and Interventional Radiology. 19(6). 799–813. 192 indexed citations

19.

Kuo, Michael. (2007). 100 Edible Mushrooms. Bulletin of Miscellaneous Information (Royal Gardens Kew). 3 indexed citations

20.

Kuo, Michael, et al.. (2007). Radiogenomic Analysis to Identify Imaging Phenotypes Associated with Drug Response Gene Expression Programs in Hepatocellular Carcinoma. Journal of Vascular and Interventional Radiology. 18(7). 821–830. 136 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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