Yoko Ibuka

64 total papers · 1.2k total citations
29 papers, 688 citations indexed

About

Yoko Ibuka is a scholar working on Health, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Yoko Ibuka has authored 29 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, 11 papers in Epidemiology and 11 papers in Modeling and Simulation. Recurrent topics in Yoko Ibuka's work include COVID-19 epidemiological studies (11 papers), Influenza Virus Research Studies (9 papers) and Vaccine Coverage and Hesitancy (7 papers). Yoko Ibuka is often cited by papers focused on COVID-19 epidemiological studies (11 papers), Influenza Virus Research Studies (9 papers) and Vaccine Coverage and Hesitancy (7 papers). Yoko Ibuka collaborates with scholars based in Japan, United States and United Kingdom. Yoko Ibuka's co-authors include Alison P. Galvani, Gretchen B. Chapman, Lauren Ancel Meyers, Meng Li, Meng Li, Louise B. Russell, Jeffrey Vietri, Nobuhiko Okabe, Tamie Sugawara and Yasushi Ohkusa and has published in prestigious journals such as PLoS ONE, Psychological Science and Social Science & Medicine.

In The Last Decade

Yoko Ibuka

25 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Yoko Ibuka 203 194 184 181 145 29 688
Sarah Eitze 185 0.9× 93 0.5× 200 1.1× 288 1.6× 127 0.9× 64 739
Mallory Trent 194 1.0× 167 0.9× 145 0.8× 330 1.8× 98 0.7× 28 690
Katarzyna Bolsewicz 126 0.6× 122 0.6× 137 0.7× 254 1.4× 107 0.7× 27 583
Chi-Yan Wong 170 0.8× 96 0.5× 224 1.2× 114 0.6× 163 1.1× 10 709
Frederik Verelst 388 1.9× 184 0.9× 111 0.6× 224 1.2× 119 0.8× 25 781
Richard Fielding 116 0.6× 200 1.0× 122 0.7× 65 0.4× 85 0.6× 12 571
Marta Fadda 60 0.3× 88 0.5× 147 0.8× 312 1.7× 59 0.4× 46 714
Jennifer A. Andersen 109 0.5× 75 0.4× 158 0.9× 376 2.1× 71 0.5× 57 671
Lisa Felgendreff 164 0.8× 36 0.2× 169 0.9× 223 1.2× 114 0.8× 47 576
Molly Sauer 87 0.4× 86 0.4× 269 1.5× 216 1.2× 63 0.4× 26 666

Countries citing papers authored by Yoko Ibuka

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Ibuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Ibuka

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Ibuka. A scholar is included among the top collaborators of Yoko Ibuka 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 Yoko Ibuka. Yoko Ibuka 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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