Katherine E. Link
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Brain Metastases and Treatment 4
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- Radiomics and Machine Learning in Medical Imaging 1
- MRI in cancer diagnosis 1
- Co-authors
- Roxana Daneshjou (2 shared papers)Nicolás Cortés-Penfield (1 shared paper)Ilan S. Schwartz (1 shared paper)Harold Persky (1 shared paper)Marvin Zuckerman (1 shared paper)Mingqian Huang (1 shared paper)Brett Marinelli (1 shared paper)Philip M. Robson (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (3 papers)Radiology Artificial Intelligence (1 paper)Clinical Infectious Diseases (1 paper)Neurosurgery (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesPakistan
In The Last Decade
Katherine E. Link
11 papers receiving 378 citations
Katherine E. Link's Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 56
- Radiology, Nuclear Medicine and Imaging 111
- Experimental and Cognitive Psychology 42
- Applied Microbiology and Biotechnology 5
- Applied Psychology 12
Countries citing papers authored by Katherine E. Link
This map shows the geographic impact of Katherine E. Link'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 Katherine E. Link with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine E. Link more than expected).
Fields of papers citing papers by Katherine E. Link
This network shows the impact of papers produced by Katherine E. Link. 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 Katherine E. Link. The network helps show where Katherine E. Link may publish in the future.
Co-authors
The 25 scholars most cited alongside Katherine E. Link, 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 | RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning Hit paper breakdown → | 2022 | 182 |
| 2 | 2023 | 73 | |
| 3 | 1968 | 62 | |
| 4 | 2019 | 34 | |
| 5 | 2023 | 12 | |
| 6 | 2021 | 10 | |
| 7 | 2025 | 10 | |
| 8 | 2016 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2016 | 3 | |
| 11 | 2017 | 1 |
About Katherine E. Link
Katherine E. Link is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Health Informatics, having authored 11 papers that have together received 398 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (4 papers), Glioma Diagnosis and Treatment (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Behavioral Health and Interventions (1 paper), Psychological Well-being and Life Satisfaction (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Health Informatics (56 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Experimental and Cognitive Psychology (42 citations), Applied Microbiology and Biotechnology (5 citations) and Applied Psychology (12 citations). Katherine E. Link has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Roxana Daneshjou, Nicolás Cortés-Penfield, Ilan S. Schwartz, Harold Persky, Marvin Zuckerman, Mingqian Huang, Brett Marinelli, Philip M. Robson, Zelong Liu and Amish Doshi. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiology Artificial Intelligence, Clinical Infectious Diseases, Neurosurgery and Nature Communications.
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.