Tina Kapur
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- Radiomics and Machine Learning in Medical Imaging 17
- Medical Imaging Techniques and Applications 12
- MRI in cancer diagnosis 8
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- Medical Image Segmentation Techniques 18
- Advanced Neural Network Applications 9
- Health Informatics top 5%
- Radiation top 5%
- Advanced Radiotherapy Techniques 14
- Genetics top 5%
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- Prostate Cancer Diagnosis and Treatment 8
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- Medical Imaging and Analysis 8
- Co-authors
- William M. WellsAlexandra J. GolbyJan EggerSteve PieperAnthony YezziLilla ZölleiRon KikinisW. Eric L. Grimson
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Tina Kapur
74 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 947
- Computer Vision and Pattern Recognition 734
- Health Informatics 40
- Radiation 184
- Genetics 189
Countries citing papers authored by Tina Kapur
This map shows the geographic impact of Tina Kapur'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 Tina Kapur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Kapur more than expected).
Fields of papers citing papers by Tina Kapur
This network shows the impact of papers produced by Tina Kapur. 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 Tina Kapur. The network helps show where Tina Kapur may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tina Kapur, 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 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 51 | |
| 13 | 2018 | 44 | |
| 14 | 2016 | 20 | |
| 15 | 2015 | 2 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 13 | |
| 18 | 2012 | 24 | |
| 19 | 2003 | 90 | |
| 20 | 1996 | 193 |
About Tina Kapur
Tina Kapur is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Critical Care and Intensive Care Medicine, having authored 77 papers that have together received 2.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Advanced Radiotherapy Techniques (14 papers), Medical Imaging Techniques and Applications (12 papers), Advanced Neural Network Applications (9 papers), MRI in cancer diagnosis (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers) and Medical Imaging and Analysis (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (947 citations), Computer Vision and Pattern Recognition (734 citations) and Health Informatics (40 citations). Tina Kapur has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include William M. Wells, Alexandra J. Golby, Jan Egger, Steve Pieper, Anthony Yezzi, Lilla Zöllei, Ron Kikinis, W. Eric L. Grimson, Christopher Nimsky and Ron Kikinis. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.
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.