Mayuko Nishi

75 total papers · 1.3k total citations
44 papers, 888 citations indexed

About

Mayuko Nishi is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Mayuko Nishi has authored 44 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Virology. Recurrent topics in Mayuko Nishi's work include HIV Research and Treatment (10 papers), Signaling Pathways in Disease (6 papers) and interferon and immune responses (5 papers). Mayuko Nishi is often cited by papers focused on HIV Research and Treatment (10 papers), Signaling Pathways in Disease (6 papers) and interferon and immune responses (5 papers). Mayuko Nishi collaborates with scholars based in Japan, Singapore and United States. Mayuko Nishi's co-authors include Akihide Ryo, Kilian Perrem, Naoki Yamamoto, Kei Miyakawa, Ichiro Aoki, Hisashi Hirano, Akihiro Umezawa, Hirokazu Kimura, Sam W. Lee and Yoji Nagashima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mayuko Nishi

42 papers receiving 879 citations

Author Peers

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

Author Last Decade Papers Cites
Mayuko Nishi 586 232 198 148 99 44 888
Yongxin Mu 478 0.8× 102 0.4× 185 0.9× 163 1.1× 232 2.3× 33 900
Biswanath Majumder 526 0.9× 287 1.2× 254 1.3× 221 1.5× 73 0.7× 38 1.0k
Tamim Salehzada 558 1.0× 193 0.8× 347 1.8× 65 0.4× 106 1.1× 26 991
Tingting Chu 606 1.0× 144 0.6× 169 0.9× 38 0.3× 97 1.0× 36 893
Cynthia L. Innes 585 1.0× 254 1.1× 153 0.8× 191 1.3× 62 0.6× 30 812
Cedric W. Long 627 1.1× 139 0.6× 150 0.8× 46 0.3× 211 2.1× 39 961
Nikolas Herold 373 0.6× 137 0.6× 118 0.6× 123 0.8× 103 1.0× 34 755
Selma Silagi 541 0.9× 225 1.0× 242 1.2× 126 0.9× 47 0.5× 34 1.0k
Gary M. Jones 421 0.7× 164 0.7× 347 1.8× 181 1.2× 107 1.1× 32 951
Gary A. Beaudry 594 1.0× 142 0.6× 166 0.8× 82 0.6× 62 0.6× 18 970

Countries citing papers authored by Mayuko Nishi

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Nishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayuko Nishi

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