Katherine Hewitt
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Physiology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Nasir RajpootMarianna GaçaLinsey E. HaswellDavid ThorneJakob Nikolas KatherDavid SneadAudrey RichterDale Corbett
- Topics
- AI in cancer detection (13 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)Colorectal Cancer Screening and Detection (5 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Katherine Hewitt
38 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 313
- Radiology, Nuclear Medicine and Imaging 245
- Molecular Biology 184
- Physiology 140
- Cellular and Molecular Neuroscience 131
Countries citing papers authored by Katherine Hewitt
This map shows the geographic impact of Katherine Hewitt'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 Hewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine Hewitt more than expected).
Fields of papers citing papers by Katherine Hewitt
This network shows the impact of papers produced by Katherine Hewitt. 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 Hewitt. The network helps show where Katherine Hewitt may publish in the future.
Co-authorship network of co-authors of Katherine Hewitt
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine Hewitt. A scholar is included among the top collaborators of Katherine Hewitt 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 Katherine Hewitt. Katherine Hewitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 35 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 27 | |
| 8 | 41 | |
| 9 | 55 | |
| 10 | 16 | |
| 11 | 24 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | 55 | |
| 15 | 3 | |
| 16 | 28 | |
| 17 | 50 | |
| 18 | 56 | |
| 19 | 22 | |
| 20 | 34 |
About Katherine Hewitt
Katherine Hewitt is a scholar working on Health Informatics, Equine and Biophysics, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Colorectal Cancer Screening and Detection (5 papers). The work is most often cited by research in Health Informatics (58 citations), Toxicology (62 citations) and Radiology, Nuclear Medicine and Imaging (245 citations). Katherine Hewitt has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nasir Rajpoot, Marianna Gaça, Linsey E. Haswell, David Thorne, Jakob Nikolas Kather, David Snead, Audrey Richter, Dale Corbett, Paul Morley and Sebastian Foersch. Their work appears in journals such as Nature Communications, American Journal of Psychiatry and Stroke.
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.