Keiji Masuda

122 total papers · 2.2k total citations
69 papers, 1.7k citations indexed

About

Keiji Masuda is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Keiji Masuda has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Immunology and 10 papers in Genetics. Recurrent topics in Keiji Masuda's work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Mitochondrial Function and Pathology (7 papers). Keiji Masuda is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (9 papers) and Mitochondrial Function and Pathology (7 papers). Keiji Masuda collaborates with scholars based in Japan, United States and China. Keiji Masuda's co-authors include Hiroki Kato, Naotada Ishihara, Masatoshi Nomura, Hidenori Otera, Sadaki Yokota, Ryoichi Takayanagi, Katsuyoshi Mihara, Maki Maeda, Satoshi O. Suzuki and Ikuya Nonaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Keiji Masuda

64 papers receiving 1.7k citations

Hit Papers

Mitochondrial fission fac... 2009 2026 2014 2020 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Keiji Masuda 1.2k 259 230 225 168 69 1.7k
Weiping Liu 890 0.7× 74 0.3× 130 0.6× 337 1.5× 162 1.0× 119 2.2k
Joo‐Won Park 1.1k 0.9× 44 0.2× 217 0.9× 311 1.4× 301 1.8× 75 2.0k
Xiaoming Gu 701 0.6× 54 0.2× 59 0.3× 180 0.8× 159 0.9× 80 1.7k
Masayuki Yasuda 631 0.5× 70 0.3× 169 0.7× 89 0.4× 157 0.9× 134 2.3k
Ki‐Hwan Han 1.1k 0.9× 143 0.6× 90 0.4× 112 0.5× 313 1.9× 105 2.1k
Xiaodong Jiao 1.4k 1.1× 69 0.3× 61 0.3× 159 0.7× 73 0.4× 65 2.0k
Kosuke Kuwabara 386 0.3× 266 1.0× 161 0.7× 87 0.4× 126 0.8× 56 2.3k
F Giacomelli 690 0.6× 42 0.2× 98 0.4× 81 0.4× 372 2.2× 64 2.0k
Günther Schlunck 599 0.5× 33 0.1× 235 1.0× 83 0.4× 63 0.4× 114 2.2k
Raymond Wang 779 0.6× 195 0.8× 49 0.2× 390 1.7× 1.1k 6.4× 109 2.1k

Countries citing papers authored by Keiji Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Masuda

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