Linda M. Pak

43 papers and 616 indexed citations i.

About

Linda M. Pak is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, Linda M. Pak has authored 43 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 19 papers in Oncology and 10 papers in Epidemiology. Recurrent topics in Linda M. Pak’s work include Radiomics and Machine Learning in Medical Imaging (10 papers), Pancreatic and Hepatic Oncology Research (10 papers) and Hepatocellular Carcinoma Treatment and Prognosis (9 papers). Linda M. Pak is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Pancreatic and Hepatic Oncology Research (10 papers) and Hepatocellular Carcinoma Treatment and Prognosis (9 papers). Linda M. Pak collaborates with scholars based in United States, Canada and China. Linda M. Pak's co-authors include William R. Jarnagin, Amber L. Simpson, Richard Kinh Gian, T. Peter Kingham, Peter J. Allen, Michael I. D’Angelica, Ronald P. DeMatteo, Vinod P. Balachandran, Mithat Gönen and Jian Zheng and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Annals of Surgery.

In The Last Decade

Co-authorship network of co-authors of Linda M. Pak i

Fields of papers citing papers by Linda M. Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda M. Pak. 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 Linda M. Pak. The network helps show where Linda M. Pak may publish in the future.

Countries citing papers authored by Linda M. Pak

Since Specialization
Citations

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