Amber L. Simpson

111 papers and 1.9k indexed citations i.

About

Amber L. Simpson is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Amber L. Simpson has authored 111 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Surgery and 32 papers in Biomedical Engineering. Recurrent topics in Amber L. Simpson’s work include Radiomics and Machine Learning in Medical Imaging (43 papers), Hepatocellular Carcinoma Treatment and Prognosis (24 papers) and Pancreatic and Hepatic Oncology Research (22 papers). Amber L. Simpson is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (43 papers), Hepatocellular Carcinoma Treatment and Prognosis (24 papers) and Pancreatic and Hepatic Oncology Research (22 papers). Amber L. Simpson collaborates with scholars based in United States, Canada and Iran. Amber L. Simpson's co-authors include Richard Kinh Gian, William R. Jarnagin, Michael I. Miga, Mithat Gönen, Jayasree Chakraborty, Peter J. Allen, T. Peter Kingham, Thomas S. Pheiffer, Ronald P. DeMatteo and Abhishek Midya and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Amber L. Simpson i

Fields of papers citing papers by Amber L. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber L. Simpson. 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 Amber L. Simpson. The network helps show where Amber L. Simpson may publish in the future.

Countries citing papers authored by Amber L. Simpson

Since Specialization
Citations

This map shows the geographic impact of Amber L. Simpson'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 Amber L. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber L. Simpson 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