Maki Amano

24 papers and 238 indexed citations i.

About

Maki Amano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maki Amano has authored 24 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pathology and Forensic Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maki Amano’s work include MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Maki Amano is often cited by papers focused on MRI in cancer diagnosis (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced MRI Techniques and Applications (5 papers). Maki Amano collaborates with scholars based in Japan, United States and Germany. Maki Amano's co-authors include Yasuo Amano, Tatsuo Kumazaki, Kazuo Arai, Osamu Matsui, Yasuni Nakanuma, Jun Yoshikawa, M Kimura, M Kadoya, Tsutomu Takashima and Morimasa Takayama and has published in prestigious journals such as Radiology, American Journal of Roentgenology and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Maki Amano i

Fields of papers citing papers by Maki Amano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maki Amano

Since Specialization
Citations

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