Amaro Taylor‐Weiner

38 papers and 1.3k indexed citations i.

About

Amaro Taylor‐Weiner is a scholar working on Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amaro Taylor‐Weiner has authored 38 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 12 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amaro Taylor‐Weiner’s work include Cancer Genomics and Diagnostics (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (4 papers). Amaro Taylor‐Weiner is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (4 papers). Amaro Taylor‐Weiner collaborates with scholars based in United States, Germany and Saudi Arabia. Amaro Taylor‐Weiner's co-authors include Chris G. Dulla, Eliezer M. Van Allen, Gad Getz, John R. Huguenard, Hiroaki TANI, Richard J. Reimer, David W. Hampton, Lauren A. Lau, Giuseppina Tesco and Kendall R. Walker and has published in prestigious journals such as Nature, New England Journal of Medicine and JAMA.

In The Last Decade

Co-authorship network of co-authors of Amaro Taylor‐Weiner i

Fields of papers citing papers by Amaro Taylor‐Weiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amaro Taylor‐Weiner. 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 Amaro Taylor‐Weiner. The network helps show where Amaro Taylor‐Weiner may publish in the future.

Countries citing papers authored by Amaro Taylor‐Weiner

Since Specialization
Citations

This map shows the geographic impact of Amaro Taylor‐Weiner'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 Amaro Taylor‐Weiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amaro Taylor‐Weiner 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