Akito Terai

192 papers and 4.4k indexed citations i.

About

Akito Terai is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Urology. According to data from OpenAlex, Akito Terai has authored 192 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Pulmonary and Respiratory Medicine, 64 papers in Surgery and 59 papers in Urology. Recurrent topics in Akito Terai’s work include Prostate Cancer Diagnosis and Treatment (38 papers), Urinary Bladder and Prostate Research (37 papers) and Urinary Tract Infections Management (24 papers). Akito Terai is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (38 papers), Urinary Bladder and Prostate Research (37 papers) and Urinary Tract Infections Management (24 papers). Akito Terai collaborates with scholars based in Japan, United States and India. Akito Terai's co-authors include Yoichi Arai, Koji Yoshimura, Osamu Yoshida, Hisao Kurazono, Kentaro Ichioka, Yoshiyuki Matsui, Shingo Yamamoto, Yoshifumi Takeda, Yusaku Okada and Naoki Terada and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Bacteriology and Kidney International.

In The Last Decade

Co-authorship network of co-authors of Akito Terai i

Fields of papers citing papers by Akito Terai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akito Terai

Since Specialization
Citations

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