Kathryn P. Lowry
- Family Practice top 2%
- Health Informatics top 5%
- Geriatrics and Gerontology top 5%
- Oncology top 5%
- Global Cancer Incidence and Screening 27
- Cancer Risks and Factors 7
- Colorectal Cancer Screening and Detection 4
- Cancer Research top 10%
- Breast Cancer Treatment Studies 12
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- AI in cancer detection 16
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- Digital Radiography and Breast Imaging 13
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- Radiomics and Machine Learning in Medical Imaging 10
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- BRCA gene mutations in cancer 8
- Co-authors
- Tara K. DudleyEugene Ž. OddoneHayden B. BosworthJanie M. LeeAnna N.A. TostesonBrian L. SpragueNatasha K. StoutDiana L. Miglioretti
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)Annals of Internal Medicine (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Kathryn P. Lowry
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Family Practice 121
- Health Informatics 42
- Geriatrics and Gerontology 70
- Oncology 488
- Cancer Research 209
Countries citing papers authored by Kathryn P. Lowry
This map shows the geographic impact of Kathryn P. Lowry'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 Kathryn P. Lowry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn P. Lowry more than expected).
Fields of papers citing papers by Kathryn P. Lowry
This network shows the impact of papers produced by Kathryn P. Lowry. 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 Kathryn P. Lowry. The network helps show where Kathryn P. Lowry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kathryn P. Lowry, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 31 | |
| 12 | 2022 | 12 | |
| 13 | 2021 | 62 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 100 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 27 | |
| 18 | 2020 | 1 | |
| 19 | 2017 | 14 | |
| 20 | Efficacy and Cost Effectiveness of Lansoprazole Versus Omeprazole in Maintenance Treatment of Symptomatic Gastroesophageal Reflux Disease | 1999 | 3 |
About Kathryn P. Lowry
Kathryn P. Lowry is a scholar working on Health Informatics, Oncology and Cancer Research, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (27 papers), AI in cancer detection (16 papers), Digital Radiography and Breast Imaging (13 papers), Breast Cancer Treatment Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), BRCA gene mutations in cancer (8 papers), Cancer Risks and Factors (7 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Family Practice (121 citations), Health Informatics (42 citations) and Geriatrics and Gerontology (70 citations). Kathryn P. Lowry has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Tara K. Dudley, Eugene Ž. Oddone, Hayden B. Bosworth, Janie M. Lee, Anna N.A. Tosteson, Brian L. Sprague, Natasha K. Stout, Diana L. Miglioretti, Karla Kerlikowske and Amy Trentham‐Dietz. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.