Fraser Elisabeth Tan

9 papers and 757 indexed citations i.

About

Fraser Elisabeth Tan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Fraser Elisabeth Tan has authored 9 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Fraser Elisabeth Tan’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Fraser Elisabeth Tan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (2 papers). Fraser Elisabeth Tan collaborates with scholars based in United States, Austria and United Kingdom. Fraser Elisabeth Tan's co-authors include Elizabeth Iorns, Timothy M. Errington, William Gunn, Brian A. Nosek, Craig H. Mermel, Po-Hsuan Cameron Chen, Niels Olson, Greg S. Corrado, Lily H. Peng and Yun Liu and has published in prestigious journals such as Development, Scientific Reports and Journal of Cell Science.

In The Last Decade

Co-authorship network of co-authors of Fraser Elisabeth Tan i

Fields of papers citing papers by Fraser Elisabeth Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fraser Elisabeth Tan. 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 Fraser Elisabeth Tan. The network helps show where Fraser Elisabeth Tan may publish in the future.

Countries citing papers authored by Fraser Elisabeth Tan

Since Specialization
Citations

This map shows the geographic impact of Fraser Elisabeth Tan'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 Fraser Elisabeth Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fraser Elisabeth Tan more than expected).

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.

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2025