Kenneth T. Gao

460 total citations
17 papers, 168 citations indexed

About

Kenneth T. Gao is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kenneth T. Gao has authored 17 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Kenneth T. Gao's work include Lower Extremity Biomechanics and Pathologies (5 papers), Knee injuries and reconstruction techniques (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Kenneth T. Gao is often cited by papers focused on Lower Extremity Biomechanics and Pathologies (5 papers), Knee injuries and reconstruction techniques (5 papers) and Osteoarthritis Treatment and Mechanisms (4 papers). Kenneth T. Gao collaborates with scholars based in United States, Russia and France. Kenneth T. Gao's co-authors include Spencer C. Behr, Valentina Pedoia, Sharmila Majumdar, Michael J. Evans, Youngho Seo, Rahul Aggarwal, Carina Marí Aparici, Eric A. Collisson, Benjamin M. Yeh and William P. Dillon and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Roentgenology and Journal of Orthopaedic Research®.

In The Last Decade

Kenneth T. Gao

17 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth T. Gao United States	9	67	46	31	31	27	17	168
Andrew Evans United Kingdom	7	22 0.3×	21 0.5×	39 1.3×	64 2.1×	34 1.3×	8	295
Marcin Hetnał Poland	10	29 0.4×	22 0.5×	83 2.7×	32 1.0×	36 1.3×	24	165
Giuseppe Micci Italy	7	56 0.8×	22 0.5×	36 1.2×	33 1.1×	31 1.1×	11	167
Rouchelle Sriranjan United Kingdom	7	49 0.7×	18 0.4×	52 1.7×	31 1.0×	14 0.5×	11	184
Jacob P. Hoogendam Netherlands	11	78 1.2×	19 0.4×	38 1.2×	67 2.2×	48 1.8×	32	279
Medine Böge Türkiye	5	61 0.9×	24 0.5×	15 0.5×	43 1.4×	39 1.4×	13	161
Masashi Nakamura Japan	10	198 3.0×	38 0.8×	28 0.9×	34 1.1×	45 1.7×	27	353
Shaik Ahmad Buhari Singapore	8	27 0.4×	22 0.5×	28 0.9×	24 0.8×	49 1.8×	18	158
Antonio López Medina Spain	10	102 1.5×	41 0.9×	83 2.7×	31 1.0×	8 0.3×	23	248

Countries citing papers authored by Kenneth T. Gao

Since Specialization

Citations

This map shows the geographic impact of Kenneth T. Gao'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 Kenneth T. Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth T. Gao more than expected).

Fields of papers citing papers by Kenneth T. Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth T. Gao. 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 Kenneth T. Gao. The network helps show where Kenneth T. Gao may publish in the future.

Co-authorship network of co-authors of Kenneth T. Gao

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

All Works

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17 of 17 papers shown

Gao, Kenneth T., et al.. (2025). Foundations of a knee joint digital twin from qMRI biomarkers for osteoarthritis and knee replacement. npj Digital Medicine. 8(1). 118–118. 5 indexed citations

Koff, Matthew F., Feliks Kogan, Kenneth T. Gao, et al.. (2023). Advanced MRI Approaches for Evaluating Common Lower Extremity Injuries in Basketball Players: Current and Emerging Techniques. Journal of Magnetic Resonance Imaging. 59(6). 1902–1913. 1 indexed citations

Cummings, Jennifer, Kenneth T. Gao, Vincent Chen, et al.. (2023). The knee connectome: A novel tool for studying spatiotemporal change in cartilage thickness. Journal of Orthopaedic Research®. 42(1). 43–53. 2 indexed citations

Han, Misung, Cynthia T. Chin, Kenneth T. Gao, et al.. (2023). Technology and Tool Development for BACPAC: Qualitative and Quantitative Analysis of Accelerated Lumbar Spine MRI with Deep-Learning Based Image Reconstruction at 3T. Pain Medicine. 24(Supplement_1). S149–S159. 3 indexed citations

Gao, Kenneth T., Vincent Chen, Francesco Calivá, et al.. (2023). Large‐Scale Analysis of Meniscus Morphology as Risk Factor for Knee Osteoarthritis. Arthritis & Rheumatology. 75(11). 1958–1968. 8 indexed citations

Gao, Kenneth T., Valentina Pedoia, Matthew F. Koff, et al.. (2023). Multiparametric MRI of Knees in Collegiate Basketball Players: Associations With Morphological Abnormalities and Functional Deficits. Orthopaedic Journal of Sports Medicine. 11(12). 961821546–961821546. 1 indexed citations

Allaire, Brett, Kenneth T. Gao, Cynthia T. Chin, et al.. (2022). Deep Learning for Multi-Tissue Segmentation and Fully Automatic Personalized Biomechanical Models from BACPAC Clinical Lumbar Spine MRI. Pain Medicine. 24(Supplement_1). S139–S148. 15 indexed citations

Gao, Kenneth T., et al.. (2022). Automatic detection and voxel‐wise mapping of lumbar spine Modic changes with deep learning. JOR Spine. 5(2). e1204–e1204. 15 indexed citations

Gao, Kenneth T., Valentina Pedoia, Katherine A. Young, et al.. (2020). Multiparametric MRI characterization of knee articular cartilage and subchondral bone shape in collegiate basketball players. Journal of Orthopaedic Research®. 39(7). 1512–1522. 11 indexed citations

10.

Behr, Spencer C., Javier Villanueva-Meyer, Yan Li, et al.. (2018). Targeting iron metabolism in high-grade glioma with 68Ga-citrate PET/MR. JCI Insight. 3(21). 21 indexed citations

11.

Wang, Zhen J., Spencer C. Behr, Benjamin M. Yeh, et al.. (2018). Early Response Assessment in Pancreatic Ductal Adenocarcinoma Through Integrated PET/MRI. American Journal of Roentgenology. 211(5). 1010–1019. 29 indexed citations

12.

Aggarwal, Rahul, Spencer C. Behr, Pamela L. Paris, et al.. (2017). Real-Time Transferrin-Based PET Detects MYC-Positive Prostate Cancer. Molecular Cancer Research. 15(9). 1221–1229. 12 indexed citations

13.

Aggarwal, Rahul, Spencer C. Behr, Youngho Seo, et al.. (2017). First-in-human phase 1 PET study of CTT1057, a novel ¹⁸F-labeled imaging agent targeting prostate specific membrane antigen (PSMA) in prostate cancer.. Journal of Clinical Oncology. 35(15_suppl). e16562–e16562. 2 indexed citations

14.

Rehani, Bhavya, et al.. (2017). Radiology Education in Asia: Differences, Similarities, and Opportunities. Journal of the American College of Radiology. 14(1). 111–118. 6 indexed citations

15.

Aparici, Carina Marí, Spencer C. Behr, Youngho Seo, et al.. (2017). Imaging Hepatocellular Carcinoma With ⁶⁸Ga-Citrate PET: First Clinical Experience. Molecular Imaging. 16. 2963654776–2963654776. 6 indexed citations

16.

Rehani, Bhavya, et al.. (2016). Radiology Education in Latin America. Journal of the American College of Radiology. 14(3). 397–403. 12 indexed citations

17.

Behr, Spencer C., Rahul Aggarwal, Youngho Seo, et al.. (2016). A Feasibility Study Showing [68Ga]Citrate PET Detects Prostate Cancer. Molecular Imaging and Biology. 18(6). 946–951. 19 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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