Kyle J. Lafata

1.4k total citations
63 papers, 892 citations indexed

About

Kyle J. Lafata is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Kyle J. Lafata has authored 63 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Pulmonary and Respiratory Medicine and 15 papers in Biomedical Engineering. Recurrent topics in Kyle J. Lafata's work include Radiomics and Machine Learning in Medical Imaging (41 papers), Medical Imaging Techniques and Applications (17 papers) and Advanced X-ray and CT Imaging (14 papers). Kyle J. Lafata is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (41 papers), Medical Imaging Techniques and Applications (17 papers) and Advanced X-ray and CT Imaging (14 papers). Kyle J. Lafata collaborates with scholars based in United States, China and Germany. Kyle J. Lafata's co-authors include F Yin, Chunhao Wang, Laura Barisoni, Anant Madabhushi, Stephen M. Hewitt, Ulysses J. Balis, Chris R. Kelsey, Yushi Chang, Mustafa R. Bashir and Julian C. Hong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Kyle J. Lafata

58 papers receiving 877 citations

Peers

Kyle J. Lafata

RNMI

PRM

ONCOL

Roman Zeleznik United States

Yiwen Xu United States

Tyler Bradshaw United States

Sarah A. Mattonen Canada

Matthias Benndorf Germany

Lise Wei United States

Ying Liang China

Fiona M. Fennessy United States

Maria Vakalopoulou France

Kanae K. Miyake Japan

Roman Zeleznik United States

Kyle J. Lafata

716 ×1.2

RNMI

399 ×1.2

PRM

271 ×1.4

184 ×1.1

82 ×0.5

ONCOL

Citations per year, relative to Kyle J. Lafata Kyle J. Lafata (= 1×) peers Roman Zeleznik

Countries citing papers authored by Kyle J. Lafata

Since Specialization

Citations

This map shows the geographic impact of Kyle J. Lafata'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 Kyle J. Lafata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle J. Lafata more than expected).

Fields of papers citing papers by Kyle J. Lafata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle J. Lafata. 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 Kyle J. Lafata. The network helps show where Kyle J. Lafata may publish in the future.

Co-authorship network of co-authors of Kyle J. Lafata

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle J. Lafata. A scholar is included among the top collaborators of Kyle J. Lafata 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 Kyle J. Lafata. Kyle J. Lafata 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

Kim, David, Sheng Luo, Kyle J. Lafata, et al.. (2025). XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans. Medical Image Analysis. 103. 103636–103636. 1 indexed citations

Harrawood, Brian, Mojtaba Zarei, Michael R. Harowicz, et al.. (2025). Virtual lung screening trial (VLST): An in silico study inspired by the national lung screening trial for lung cancer detection. Medical Image Analysis. 103. 103576–103576. 2 indexed citations

Gao, Yuan, Chunhao Wang, Yvonne M. Mowery, et al.. (2024). Radiomics on spatial‐temporal manifolds via Fokker–Planck dynamics. Medical Physics. 51(5). 3334–3347. 3 indexed citations

Lafata, Kyle J., et al.. (2024). Advancing blood glucose prediction with neural architecture search and deep reinforcement learning for type 1 diabetics. Journal of Applied Biomedicine. 44(3). 481–500. 1 indexed citations

Kang, John, Kyle J. Lafata, Ellen Kim, et al.. (2024). Artificial intelligence across oncology specialties: current applications and emerging tools. SHILAP Revista de lepidopterología. 3(1). e000134–e000134. 6 indexed citations

Wang, Yuqi, Tina D. Tailor, Stacy L. Tantum, et al.. (2024). Concordance-based Predictive Uncertainty (CPU)-Index: Proof-of-concept with application towards improved specificity of lung cancers on low dose screening CT. Artificial Intelligence in Medicine. 160. 103055–103055. 3 indexed citations

Chen, Yijiang, Fan Fan, Céline C. Berthier, et al.. (2024). Clinical Relevance of Computational Pathology Analysis of Interplay between Kidney Microvasculature and Interstitial Microenvironment. Clinical Journal of the American Society of Nephrology. 20(2). 239–255. 1 indexed citations

Jaffe, Tracy A., Brian C. Allen, Kevin Kalisz, et al.. (2023). A Faster Prostate MRI: Comparing a Novel Denoised, Single‐Average T₂ Sequence to the Conventional Multiaverage T₂ Sequence Regarding Lesion Detection and PI‐RADS Score Assessment. Journal of Magnetic Resonance Imaging. 58(2). 620–629. 1 indexed citations

Chen, Yijiang, Jarcy Zee, Andrew Janowczyk, et al.. (2023). Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies. Kidney360. 4(5). 648–658. 13 indexed citations

10.

Lafata, Kyle J., et al.. (2023). Privacy-preserving Job Scheduler for GPU Sharing. 337–339. 1 indexed citations

11.

Yang, Zhenyu, Hangjie Ji, Kyle J. Lafata, et al.. (2023). A neural ordinary differential equation model for visualizing deep neural network behaviors in multi‐parametric MRI‐based glioma segmentation. Medical Physics. 50(8). 4825–4838. 14 indexed citations

12.

Lafata, Kyle J., Betty C. Tong, Tomi Akinyemiju, et al.. (2023). Lung Cancer Screening in Clinical Practice: A 5-Year Review of Frequency and Predictors of Lung Cancer in the Screened Population. Journal of the American College of Radiology. 21(5). 767–777. 3 indexed citations

13.

Li, Xiang, Richard Davis, Zehan Wang, et al.. (2021). Deep learning segmentation of glomeruli on kidney donor frozen sections. Journal of Medical Imaging. 8(6). 67501–67501. 16 indexed citations

14.

Lafata, Kyle J., Cai Li, Mathias Meyer, et al.. (2021). CT Radiomic Features of Superior Mesenteric Artery Involvement in Pancreatic Ductal Adenocarcinoma: A Pilot Study. Radiology. 301(3). 610–622. 42 indexed citations

15.

Glass, Carolyn, Kyle J. Lafata, William R. Jeck, et al.. (2021). The Role of Machine Learning in Cardiovascular Pathology. Canadian Journal of Cardiology. 38(2). 234–245. 11 indexed citations

16.

Chang, Yushi, et al.. (2020). Digital phantoms for characterizing inconsistencies among radiomics extraction toolboxes. Biomedical Physics & Engineering Express. 6(2). 25016–25016. 20 indexed citations

17.

Wang, Chunhao, Chenyang Liu, Yushi Chang, et al.. (2020). Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application. Frontiers in Oncology. 10. 1592–1592. 23 indexed citations

18.

Corradetti, Michael N., Jordan A. Torok, Ace J. Hatch, et al.. (2019). Dynamic Changes in Circulating Tumor DNA During Chemoradiation for Locally Advanced Lung Cancer. Advances in Radiation Oncology. 4(4). 748–752. 12 indexed citations

19.

Lafata, Kyle J., Julian C. Hong, Bradley G. Ackerson, et al.. (2018). Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy. Physics in Medicine and Biology. 64(2). 25007–25007. 44 indexed citations

20.

Lafata, Kyle J., et al.. (2014). A simple technique for the generation of institution-specific nomograms for permanent prostate cancer brachytherapy. Journal of Contemporary Brachytherapy. 3(3). 293–296. 2 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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