Mayumi Morizane

71 total papers · 766 total citations
36 papers, 558 citations indexed

About

Mayumi Morizane is a scholar working on Epidemiology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mayumi Morizane has authored 36 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 11 papers in Infectious Diseases and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mayumi Morizane's work include Cytomegalovirus and herpesvirus research (13 papers), Parvovirus B19 Infection Studies (11 papers) and Herpesvirus Infections and Treatments (6 papers). Mayumi Morizane is often cited by papers focused on Cytomegalovirus and herpesvirus research (13 papers), Parvovirus B19 Infection Studies (11 papers) and Herpesvirus Infections and Treatments (6 papers). Mayumi Morizane collaborates with scholars based in Japan, United States and United Kingdom. Mayumi Morizane's co-authors include Hideto Yamada, Kenji Tanimura, Masashi Deguchi, Yasuhiko Ebina, Shinya Tairaku, Ichiro Morioka, Toshio Minematsu, Yoel Sadovsky, Andreas Stahl and Takuya Mishima and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Clinical Infectious Diseases.

In The Last Decade

Mayumi Morizane

35 papers receiving 549 citations

Author Peers

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

Author Last Decade Papers Cites
Mayumi Morizane 241 177 167 166 83 36 558
Antônio Hélio Oliani 104 0.4× 78 0.4× 66 0.4× 118 0.7× 191 2.3× 51 547
S. A. Tswana 316 1.3× 95 0.5× 52 0.3× 88 0.5× 72 0.9× 33 530
Kenan Dolapçıoğlu 116 0.5× 37 0.2× 63 0.4× 68 0.4× 146 1.8× 35 520
V. Tsatsaris 102 0.4× 23 0.1× 346 2.1× 297 1.8× 96 1.2× 45 586
Stylianos Michalas 63 0.3× 53 0.3× 127 0.8× 147 0.9× 234 2.8× 31 676
Nathalie Moinard 106 0.4× 154 0.9× 38 0.2× 33 0.2× 189 2.3× 26 690
John H. Edgcomb 203 0.8× 83 0.5× 32 0.2× 19 0.1× 123 1.5× 25 683
Dean S. Cunningham 307 1.3× 49 0.3× 18 0.1× 96 0.6× 236 2.8× 31 654
Hassan Y. Dawood 172 0.7× 39 0.2× 46 0.3× 96 0.6× 45 0.5× 29 633
Richard K. Gyasi 78 0.3× 34 0.2× 64 0.4× 33 0.2× 250 3.0× 39 625

Countries citing papers authored by Mayumi Morizane

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Morizane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Morizane

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