Kaori Suyama

32 papers and 473 indexed citations i.

About

Kaori Suyama is a scholar working on Pathology and Forensic Medicine, Surgery and Epidemiology. According to data from OpenAlex, Kaori Suyama has authored 32 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 7 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Kaori Suyama’s work include Spine and Intervertebral Disc Pathology (8 papers), Musculoskeletal pain and rehabilitation (6 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Kaori Suyama is often cited by papers focused on Spine and Intervertebral Disc Pathology (8 papers), Musculoskeletal pain and rehabilitation (6 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). Kaori Suyama collaborates with scholars based in Japan, United States and Portugal. Kaori Suyama's co-authors include Masahiko Watanabe, Joji Mochida, Daisuke Sakai, Kou Sakabe, Hayato Terayama, Takahiro Osada, Masaaki Imai, Hiroshi Kawada, Ning Qu and Mitsunori Matsumae and has published in prestigious journals such as PLoS ONE, Biomaterials and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Kaori Suyama i

Fields of papers citing papers by Kaori Suyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaori Suyama

Since Specialization
Citations

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