Masao GOTO

232 total papers · 3.5k total citations
152 papers, 2.7k citations indexed

About

Masao GOTO is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Masao GOTO has authored 152 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Plant Science, 34 papers in Cell Biology and 20 papers in Molecular Biology. Recurrent topics in Masao GOTO's work include Plant Pathogenic Bacteria Studies (65 papers), Plant-Microbe Interactions and Immunity (40 papers) and Plant Pathogens and Fungal Diseases (34 papers). Masao GOTO is often cited by papers focused on Plant Pathogenic Bacteria Studies (65 papers), Plant-Microbe Interactions and Immunity (40 papers) and Plant Pathogens and Fungal Diseases (34 papers). Masao GOTO collaborates with scholars based in Japan, United States and Indonesia. Masao GOTO's co-authors include Y. Takikawa, Yuko Takano‐Ishikawa, Shinji Tsuyumu, Setsuo SERIZAWA, Takeshi Ichikawa, N. Inoue, Sol M. Shatz, Kohji Yamaki, J. F. Bradbury and D. W. Dye and has published in prestigious journals such as Nature, The Journal of Immunology and PLoS ONE.

In The Last Decade

Masao GOTO

147 papers receiving 2.5k citations

Author Peers

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

Author Last Decade Papers Cites
Masao GOTO 1.5k 611 349 282 209 152 2.7k
Zhenhua Jia 780 0.5× 97 0.2× 1.0k 2.9× 155 0.5× 107 0.5× 140 3.2k
Seung Bum Lee 932 0.6× 234 0.4× 2.8k 8.2× 170 0.6× 254 1.2× 184 4.9k
Han Li 1.3k 0.9× 107 0.2× 1.6k 4.6× 148 0.5× 62 0.3× 204 3.9k
Seon‐Woo Lee 1.9k 1.3× 505 0.8× 1.1k 3.3× 48 0.2× 204 1.0× 169 4.0k
Xiaohui Qi 654 0.4× 131 0.2× 420 1.2× 39 0.1× 135 0.6× 95 3.0k
Guang-Lei Liu 1.3k 0.9× 305 0.5× 1.9k 5.5× 61 0.2× 194 0.9× 207 4.4k
Yongwei Wang 304 0.2× 92 0.2× 1.0k 2.9× 135 0.5× 84 0.4× 157 3.1k
Qiuyue Chen 1.1k 0.7× 74 0.1× 1.1k 3.1× 179 0.6× 25 0.1× 165 3.3k
Bo Li 3.9k 2.7× 567 0.9× 1.5k 4.3× 170 0.6× 13 0.1× 212 5.4k
Lijing Liu 2.8k 1.9× 284 0.5× 1.9k 5.5× 64 0.2× 65 0.3× 84 4.0k

Countries citing papers authored by Masao GOTO

Since Specialization
Citations

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

Fields of papers citing papers by Masao GOTO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao GOTO

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