Kazuaki Yamada

37 papers and 138 indexed citations i.

About

Kazuaki Yamada is a scholar working on Pathology and Forensic Medicine, Artificial Intelligence and Oncology. According to data from OpenAlex, Kazuaki Yamada has authored 37 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 9 papers in Artificial Intelligence and 7 papers in Oncology. Recurrent topics in Kazuaki Yamada’s work include Reinforcement Learning in Robotics (9 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Kazuaki Yamada is often cited by papers focused on Reinforcement Learning in Robotics (9 papers), Lymphoma Diagnosis and Treatment (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). Kazuaki Yamada collaborates with scholars based in Japan, South Korea and United States. Kazuaki Yamada's co-authors include Hirotaka Kawano, Shigeru Hirabayashi, Tomoaki Kitagawa, Naohiro Sekiguchi, Akihisa Nagata, Naoki Takezako, Mamoru Hashimoto, Tsutomu Araki, Kanji Ueda and Kazuhiro Ohkura and has published in prestigious journals such as PLoS ONE, BioMed Research International and International Journal of Hematology.

In The Last Decade

Co-authorship network of co-authors of Kazuaki Yamada i

Fields of papers citing papers by Kazuaki Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuaki Yamada

Since Specialization
Citations

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