Makoto Murakami

585 total papers · 24.1k total citations
429 papers, 19.0k citations indexed

About

Makoto Murakami is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Makoto Murakami has authored 429 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 188 papers in Molecular Biology, 85 papers in Immunology and 73 papers in Pharmacology. Recurrent topics in Makoto Murakami's work include Protein Kinase Regulation and GTPase Signaling (78 papers), Mast cells and histamine (57 papers) and Inflammatory mediators and NSAID effects (52 papers). Makoto Murakami is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (78 papers), Mast cells and histamine (57 papers) and Inflammatory mediators and NSAID effects (52 papers). Makoto Murakami collaborates with scholars based in Japan, United States and South Korea. Makoto Murakami's co-authors include Ichiro Kudo, Yoshihito Nakatani, Yoshitaka Taketomi, I Kudo, Hiroyasu Sato, Toshihiro Tanioka, Kei Yamamoto, Satoko Shimbara, Yoshimi Miki and Keizo Inoue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Makoto Murakami

414 papers receiving 18.7k citations

Hit Papers

Regulation of Prostagland... 2000 2026 2008 2017 2000 2002 2000 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
Makoto Murakami 9.2k 4.9k 3.3k 3.0k 2.4k 429 19.0k
Lawrence Levine 7.8k 0.8× 3.9k 0.8× 1.6k 0.5× 1.9k 0.6× 1.9k 0.8× 315 17.6k
Atsushi Ichikawa 6.2k 0.7× 5.6k 1.1× 2.8k 0.9× 2.4k 0.8× 2.4k 1.0× 325 14.6k
Stephen M. Prescott 9.0k 1.0× 3.4k 0.7× 6.1k 1.8× 2.5k 0.8× 2.4k 1.0× 233 25.6k
Thomas M. McIntyre 10.1k 1.1× 2.7k 0.5× 5.8k 1.8× 1.8k 0.6× 3.2k 1.3× 240 26.2k
Yukihiko Sugimoto 7.7k 0.8× 9.0k 1.8× 3.4k 1.0× 3.8k 1.3× 4.2k 1.7× 253 21.5k
Philip W. Majerus 11.3k 1.2× 2.5k 0.5× 1.6k 0.5× 1.6k 0.5× 1.9k 0.8× 231 22.9k
Bin Gao 11.2k 1.2× 2.4k 0.5× 7.3k 2.2× 2.4k 0.8× 2.6k 1.1× 481 36.0k
Takao Shimizu 14.4k 1.6× 2.8k 0.6× 5.0k 1.5× 1.2k 0.4× 5.8k 2.4× 493 28.3k
Josef Pfeilschifter 11.7k 1.3× 1.6k 0.3× 4.8k 1.5× 1.2k 0.4× 4.6k 1.9× 544 24.3k
Matthew B. Grisham 6.4k 0.7× 1.6k 0.3× 5.2k 1.6× 2.3k 0.8× 6.3k 2.6× 292 23.3k

Countries citing papers authored by Makoto Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Murakami

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