Masatoshi Kato

118 total papers · 854 total citations
74 papers, 662 citations indexed

About

Masatoshi Kato is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Masatoshi Kato has authored 74 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Masatoshi Kato's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Masatoshi Kato is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). Masatoshi Kato collaborates with scholars based in Japan, United States and Russia. Masatoshi Kato's co-authors include Shuichi Hashizume, Eisaku Nishimura, Taka‐Aki Asoh, Kyoji Taguchi, Hiroshi Uyama, Masanori Kamei, Kosei Yasumoto, Ichiro Matsumoto, Keiko Abe and Haruki Shibata and has published in prestigious journals such as The Journal of Physical Chemistry B, Langmuir and Analytical Biochemistry.

In The Last Decade

Masatoshi Kato

72 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
Masatoshi Kato	252	86	85	70	62	74	662
Kun Dai	339 1.3×	50 0.6×	73 0.9×	33 0.5×	36 0.6×	55	782
Hyoung-June Kim	176 0.7×	66 0.8×	24 0.3×	35 0.5×	22 0.4×	51	602
I. V. Malyukova	338 1.3×	51 0.6×	37 0.4×	54 0.8×	36 0.6×	38	739
Srinivasa Rao Bolla	121 0.5×	58 0.7×	100 1.2×	55 0.8×	13 0.2×	42	700
Yuntao Zhang	138 0.5×	74 0.9×	17 0.2×	43 0.6×	33 0.5×	58	733
Zhao Yin	265 1.1×	53 0.6×	36 0.4×	29 0.4×	49 0.8×	69	741
Hui Zhang	172 0.7×	113 1.3×	62 0.7×	15 0.2×	15 0.2×	51	700
Young‐Jin Son	299 1.2×	56 0.7×	109 1.3×	19 0.3×	17 0.3×	45	773
Shin Hasegawa	222 0.9×	23 0.3×	25 0.3×	83 1.2×	30 0.5×	74	654
Marcus K. Dymond	359 1.4×	56 0.7×	29 0.3×	95 1.4×	17 0.3×	35	663

Countries citing papers authored by Masatoshi Kato

Since Specialization

Citations

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

Fields of papers citing papers by Masatoshi Kato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Kato

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