Kyle J. Lafata
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging 41
- Medical Imaging Techniques and Applications 17
- MRI in cancer diagnosis 6
- COVID-19 diagnosis using AI 4
- Radiation top 5%
- Advanced Radiotherapy Techniques 6
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- Lung Cancer Diagnosis and Treatment 10
- Biophysics top 10%
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- Advanced X-ray and CT Imaging 14
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- AI in cancer detection 5
- Co-authors
- F YinChunhao WangLaura BarisoniAnant MadabhushiStephen M. HewittUlysses J. BalisChris R. KelseyYushi Chang
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kyle J. Lafata
58 papers receiving 877 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 53
- Radiology, Nuclear Medicine and Imaging 602
- Radiation 101
- Pulmonary and Respiratory Medicine 333
- Biophysics 42
Countries citing papers authored by Kyle J. Lafata
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
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
The 25 scholars most cited alongside Kyle J. Lafata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 16 | |
| 14 | 2021 | 42 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 23 | |
| 18 | 2019 | 12 | |
| 19 | 2018 | 44 | |
| 20 | 2014 | 2 |
About Kyle J. Lafata
Kyle J. Lafata is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 63 papers that have together received 892 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (41 papers), Medical Imaging Techniques and Applications (17 papers), Advanced X-ray and CT Imaging (14 papers), Lung Cancer Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (6 papers), Advanced Radiotherapy Techniques (6 papers), AI in cancer detection (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (53 citations), Radiology, Nuclear Medicine and Imaging (602 citations) and Radiation (101 citations). Kyle J. Lafata has collaborated with scholars based in United States, China and Germany. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.