Mai Sakashita

16 papers and 310 indexed citations i.

About

Mai Sakashita is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Mai Sakashita has authored 16 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Surgery and 5 papers in Oncology. Recurrent topics in Mai Sakashita’s work include Colorectal Cancer Screening and Detection (3 papers), Genetic factors in colorectal cancer (3 papers) and Colorectal Cancer Surgical Treatments (2 papers). Mai Sakashita is often cited by papers focused on Colorectal Cancer Screening and Detection (3 papers), Genetic factors in colorectal cancer (3 papers) and Colorectal Cancer Surgical Treatments (2 papers). Mai Sakashita collaborates with scholars based in Japan, Hong Kong and Canada. Mai Sakashita's co-authors include Shingo Sakashita, Ming‐Sound Tsao, Daisuke Shirasaka, Rieko Minami, Masato Kasuga, Kohei Kuroda, Nobuo Aoyama, S. Kudo, T Ichihara and Hitoshi Satodate and has published in prestigious journals such as European Journal of Cancer, The Annals of Thoracic Surgery and Endoscopy.

In The Last Decade

Co-authorship network of co-authors of Mai Sakashita i

Fields of papers citing papers by Mai Sakashita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Sakashita

Since Specialization
Citations

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