Reiko Taki

14 papers and 85 indexed citations i.

About

Reiko Taki is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Reiko Taki has authored 14 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Neurology. Recurrent topics in Reiko Taki’s work include COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Vascular Tumors and Angiosarcomas (2 papers). Reiko Taki is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Vascular Tumors and Angiosarcomas (2 papers). Reiko Taki collaborates with scholars based in Japan. Reiko Taki's co-authors include Yoshiki Miyachi, Miki Tanioka, Hiroshi Tamura, Atsushi Utani, Yosuke Yamamoto, Masayuki Kurosaki, Yasunari Miyazaki, Maki Tanioka, Masayuki Nagasawa and Kaoru Nagata and has published in prestigious journals such as PLoS ONE, Journal of Medical Virology and Clinical and Experimental Dermatology.

In The Last Decade

Co-authorship network of co-authors of Reiko Taki i

Fields of papers citing papers by Reiko Taki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Reiko Taki

Since Specialization
Citations

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