Katherine Hewitt

79 total papers · 1.9k total citations
38 papers, 1.1k citations indexed

About

Katherine Hewitt is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Katherine Hewitt has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Molecular Biology. Recurrent topics in Katherine Hewitt's work include AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Colorectal Cancer Screening and Detection (5 papers). Katherine Hewitt is often cited by papers focused on AI in cancer detection (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Colorectal Cancer Screening and Detection (5 papers). Katherine Hewitt collaborates with scholars based in United Kingdom, Germany and United States. Katherine Hewitt's co-authors include Nasir Rajpoot, Marianna Gaça, Linsey E. Haswell, David Thorne, Jakob Nikolas Kather, David Snead, Audrey Richter, Dale Corbett, Paul Morley and Marko van Treeck and has published in prestigious journals such as Nature Communications, American Journal of Psychiatry and Stroke.

In The Last Decade

Katherine Hewitt

38 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katherine Hewitt 301 242 182 137 132 38 1.1k
Mei Ma 106 0.4× 130 0.5× 316 1.7× 91 0.7× 23 0.2× 84 976
Mandar A. Aras 58 0.2× 302 1.2× 238 1.3× 81 0.6× 149 1.1× 34 1.2k
Christine M. Colvis 85 0.3× 181 0.7× 393 2.2× 98 0.7× 49 0.4× 19 1.3k
Omid Kohannim 51 0.2× 223 0.9× 500 2.7× 219 1.6× 51 0.4× 35 1.2k
Sandeep Gopalakrishnan 65 0.2× 249 1.0× 309 1.7× 41 0.3× 61 0.5× 52 1.1k
Richard L. Kennedy 80 0.3× 66 0.3× 259 1.4× 109 0.8× 18 0.1× 32 1.1k
Shino Magaki 28 0.1× 60 0.2× 341 1.9× 268 2.0× 64 0.5× 60 1.1k
Ling Leng 32 0.1× 54 0.2× 345 1.9× 174 1.3× 25 0.2× 67 1.5k
Sibo Zhu 85 0.3× 54 0.2× 559 3.1× 159 1.2× 19 0.1× 53 1.2k
Yoshitomo Kashiki 102 0.3× 53 0.2× 95 0.5× 136 1.0× 37 0.3× 37 957

Countries citing papers authored by Katherine Hewitt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026