Shoko Wakamiya

53 papers and 422 indexed citations i.

About

Shoko Wakamiya is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Shoko Wakamiya has authored 53 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Shoko Wakamiya’s work include Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (13 papers) and Data-Driven Disease Surveillance (12 papers). Shoko Wakamiya is often cited by papers focused on Biomedical Text Mining and Ontologies (15 papers), Topic Modeling (13 papers) and Data-Driven Disease Surveillance (12 papers). Shoko Wakamiya collaborates with scholars based in Japan, United States and South Korea. Shoko Wakamiya's co-authors include Eiji Aramaki, Kazutoshi Sumiya, Ryong Lee, Yukiko Kawai, Yuta Nakamura, Tomoko Ohkuma, Yoshinobu Kano, Shoji Matsune, Kimihiro Okubo and Mizuki Morita and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Shoko Wakamiya i

Fields of papers citing papers by Shoko Wakamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shoko Wakamiya

Since Specialization
Citations

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