Liana Langdon‐Embry

About

Liana Langdon‐Embry is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Liana Langdon‐Embry has authored 12 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Liana Langdon‐Embry’s work include Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Colorectal Cancer Screening and Detection (3 papers). Liana Langdon‐Embry is often cited by papers focused on Pancreatic and Hepatic Oncology Research (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Colorectal Cancer Screening and Detection (3 papers). Liana Langdon‐Embry collaborates with scholars based in United States, Switzerland and Madagascar. Liana Langdon‐Embry's co-authors include Peter J. Allen, Richard Kinh Gian, Amber L. Simpson, Jayasree Chakraborty, Mithat Gönen, Marc A. Attiyeh, William R. Jarnagin, T. Peter Kingham, Ronald P. DeMatteo and Michael I. D’Angelica and has published in prestigious journals such as PLoS ONE, Medical Physics and Journal of the American College of Surgeons.

In The Last Decade

Co-authorship network of co-authors of Liana Langdon‐Embry i

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Fields of papers citing papers by Liana Langdon‐Embry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liana Langdon‐Embry. 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 Liana Langdon‐Embry. The network helps show where Liana Langdon‐Embry may publish in the future.

Countries citing papers authored by Liana Langdon‐Embry

Since Specialization

Citations

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