Peiling Tsou

6 papers and 312 indexed citations i.

About

Peiling Tsou is a scholar working on Epidemiology, Artificial Intelligence and Oncology. According to data from OpenAlex, Peiling Tsou has authored 6 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 2 papers in Artificial Intelligence and 2 papers in Oncology. Recurrent topics in Peiling Tsou’s work include Cervical Cancer and HPV Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Peiling Tsou is often cited by papers focused on Cervical Cancer and HPV Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Peiling Tsou collaborates with scholars based in United States. Peiling Tsou's co-authors include Hiroyuki Katayama, Samir Hanash, Edwin J. Ostrin, Chang‐Jiun Wu, Hong Wang, Mary L. Disis, Francisco J. Esteva, Michela Capello and Makoto Kobayashi and has published in prestigious journals such as Cancer Research, Nutrients and Frontiers in Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Peiling Tsou i

Fields of papers citing papers by Peiling Tsou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peiling Tsou. 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 Peiling Tsou. The network helps show where Peiling Tsou may publish in the future.

Countries citing papers authored by Peiling Tsou

Since Specialization
Citations

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