Kayoko Shioda

103 total papers · 1.9k total citations
52 papers, 779 citations indexed

About

Kayoko Shioda is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kayoko Shioda has authored 52 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 16 papers in Epidemiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kayoko Shioda's work include Viral gastroenteritis research and epidemiology (12 papers), COVID-19 epidemiological studies (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Kayoko Shioda is often cited by papers focused on Viral gastroenteritis research and epidemiology (12 papers), COVID-19 epidemiological studies (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Kayoko Shioda collaborates with scholars based in United States, Brazil and Japan. Kayoko Shioda's co-authors include Aron J. Hall, Anita Kambhampati, Makoto Mori, Mary E. Wikswo, Anna Bowen, Kelly A. Walsh, Benjamin A. Lopman, Arnar Geirsson, Abeel A. Mangi and Aaron J. Siegler and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Kayoko Shioda

48 papers receiving 765 citations

Author Peers

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

Author						Papers	Cites
Kayoko Shioda	451	234	220	118	84	52	779
C. P. Girish Kumar	657 1.5×	312 1.3×	98 0.4×	30 0.3×	86 1.0×	73	906
Irene Barrabeig	413 0.9×	419 1.8×	103 0.5×	41 0.3×	90 1.1×	70	835
Cheng Ding	354 0.8×	359 1.5×	56 0.3×	49 0.4×	122 1.5×	35	824
Sophy Goren	392 0.9×	128 0.5×	108 0.5×	24 0.2×	123 1.5×	33	685
Abdirahman Mahamud	362 0.8×	385 1.6×	166 0.8×	40 0.3×	48 0.6×	32	828
Graham Tallis	380 0.8×	250 1.1×	294 1.3×	24 0.2×	75 0.9×	38	867
Changying Lin	259 0.6×	248 1.1×	67 0.3×	66 0.6×	81 1.0×	28	701
Sangwon Lee	507 1.1×	104 0.4×	146 0.7×	36 0.3×	27 0.3×	50	809
Ira Praharaj	471 1.0×	104 0.4×	64 0.3×	39 0.3×	51 0.6×	30	719
Kira L. Newman	216 0.5×	143 0.6×	57 0.3×	106 0.9×	85 1.0×	55	721

Countries citing papers authored by Kayoko Shioda

Since Specialization

Citations

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

Fields of papers citing papers by Kayoko Shioda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayoko Shioda

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