Reiko Taki

42 total papers · 1.7k total citations
14 papers, 89 citations indexed

About

Reiko Taki is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Reiko Taki has authored 14 papers receiving a total of 89 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 Infectious Diseases. 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 and India. Reiko Taki's co-authors include Yoshiki Miyachi, Atsushi Utani, Miki Tanioka, Hiroshi Tamura, Yosuke Yamamoto, Yasuyuki Hayashi, S. Kore-eda, Masayuki Kurosaki, Maki Tanioka and Yasunari Miyazaki and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Virology.

In The Last Decade

Reiko Taki

12 papers receiving 87 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Reiko Taki 33 30 26 23 16 14 89
Giulia Tonini 11 0.3× 42 1.4× 17 0.7× 4 0.2× 8 0.5× 15 112
Samuel B. Frank 24 0.7× 20 0.7× 12 0.5× 17 0.7× 54 3.4× 19 220
John T. Ingram 21 0.6× 40 1.3× 15 0.6× 23 1.0× 51 3.2× 17 220
Thomas Meola 21 0.6× 11 0.4× 17 0.7× 11 0.5× 20 1.3× 11 251
Caroline Dudreuilh 20 0.6× 70 2.3× 26 1.0× 23 1.0× 2 0.1× 17 225
Berta Caballol 25 0.8× 10 0.3× 6 0.2× 11 0.5× 16 1.0× 18 225
Anne Dariel 41 1.2× 12 0.4× 22 0.8× 6 0.3× 6 0.4× 21 215
Laurent Possenti 30 0.9× 20 0.7× 24 0.9× 4 0.2× 12 0.8× 10 246
Stéphanie Proust 5 0.2× 26 0.9× 36 1.4× 12 0.5× 5 0.3× 11 130
Betty Bellman 12 0.4× 26 0.9× 12 0.5× 22 1.0× 7 0.4× 13 244

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).

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.

Co-authorship network of co-authors of Reiko Taki

This figure shows the co-authorship network connecting the top 25 collaborators of Reiko Taki. A scholar is included among the top collaborators of Reiko Taki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Reiko Taki. Reiko Taki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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