Mayu Ikeda

522 total citations
3 papers, 263 citations indexed

About

Mayu Ikeda is a scholar working on Infectious Diseases, Neurology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mayu Ikeda has authored 3 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 1 paper in Neurology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Mayu Ikeda's work include COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Mayu Ikeda is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), COVID-19 diagnosis using AI (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Mayu Ikeda collaborates with scholars based in Japan. Mayu Ikeda's co-authors include Toshimitsu Ito, Kazuo Imai, Sakiko Tabata, Kaku Tamura, Kazuyasu Miyoshi, Manabu Kitagaki, Satoshi Mimura, Shuichi Kawano, Tatsuya Kodama and Hirofumi Obinata and has published in prestigious journals such as The Lancet Infectious Diseases, Journal of Clinical Virology and SSRN Electronic Journal.

In The Last Decade

Mayu Ikeda

3 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mayu Ikeda Japan	3	217	68	44	37	31	3	263
Abdulkarim Abdulrahman Bahrain	11	263 1.2×	60 0.9×	24 0.5×	34 0.9×	57 1.8×	22	353
Anchen Laubscher South Africa	3	279 1.3×	91 1.3×	52 1.2×	17 0.5×	50 1.6×	5	346
Xiao-Lei Xu China	7	250 1.2×	61 0.9×	22 0.5×	16 0.4×	15 0.5×	14	290
Maher Al Bahrani Oman	6	253 1.2×	142 2.1×	37 0.8×	13 0.4×	15 0.5×	13	296
Felix Buder Germany	7	135 0.6×	37 0.5×	25 0.6×	11 0.3×	35 1.1×	9	231
Huaizhong Cui China	4	219 1.0×	31 0.5×	15 0.3×	26 0.7×	14 0.5×	8	284
Xin Tan China	6	141 0.6×	41 0.6×	28 0.6×	24 0.6×	18 0.6×	19	224
Mohsen Dashti Iran	7	109 0.5×	30 0.4×	27 0.6×	12 0.3×	17 0.5×	27	197
Sara Perlman‐Arrow Canada	4	218 1.0×	24 0.4×	32 0.7×	45 1.2×	78 2.5×	5	341

Countries citing papers authored by Mayu Ikeda

Since Specialization

Citations

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

Fields of papers citing papers by Mayu Ikeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayu Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Mayu Ikeda. A scholar is included among the top collaborators of Mayu Ikeda 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 Mayu Ikeda. Mayu Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Imai, Kazuo, Sakiko Tabata, Mayu Ikeda, et al.. (2020). Clinical evaluation of an immunochromatographic IgM/IgG antibody assay and chest computed tomography for the diagnosis of COVID-19. Journal of Clinical Virology. 128. 104393–104393. 82 indexed citations

2.

Tabata, Sakiko, Kazuo Imai, Shuichi Kawano, et al.. (2020). Clinical characteristics of COVID-19 in 104 people with SARS-CoV-2 infection on the Diamond Princess cruise ship: a retrospective analysis. The Lancet Infectious Diseases. 20(9). 1043–1050. 170 indexed citations

3.

Tabata, Sakiko, Kazuo Imai, Shuichi Kawano, et al.. (2020). Non-Severe vs Severe Symptomatic COVID-19: 104 Cases from the Outbreak on the Cruise Ship 'Diamond Princess' in Japan. SSRN Electronic Journal. 11 indexed citations

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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