Akihiro Murakami

82 total papers · 2.1k total citations
55 papers, 1.6k citations indexed

About

Akihiro Murakami is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Akihiro Murakami has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Epidemiology. Recurrent topics in Akihiro Murakami's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Eosinophilic Disorders and Syndromes (9 papers) and Inflammatory Myopathies and Dermatomyositis (8 papers). Akihiro Murakami is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Eosinophilic Disorders and Syndromes (9 papers) and Inflammatory Myopathies and Dermatomyositis (8 papers). Akihiro Murakami collaborates with scholars based in Japan, Brazil and Kuwait. Akihiro Murakami's co-authors include Tsuneyo Mimori, Yoshinori Suminami, Hiroshi Kato, Fumitaka Numa, Takeshi Watanabe, Chinkichi Ogino, Takafumi Suda, Norihiro Sugino, Shugo Nawata and Manabu Fujimoto and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and British Journal of Cancer.

In The Last Decade

Akihiro Murakami

53 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Akihiro Murakami 580 565 425 328 281 55 1.6k
Hua Ye 130 0.2× 941 1.7× 367 0.9× 342 1.0× 131 0.5× 41 1.8k
Signe Holm Nielsen 257 0.4× 137 0.2× 346 0.8× 189 0.6× 220 0.8× 78 1.4k
Tauro Maria Neri 177 0.3× 338 0.6× 590 1.4× 496 1.5× 315 1.1× 51 2.2k
Masahide Kubo 421 0.7× 358 0.6× 588 1.4× 310 0.9× 440 1.6× 67 2.1k
Margarita Indelman 98 0.2× 243 0.4× 977 2.3× 181 0.6× 231 0.8× 40 2.0k
Shuji Sumitomo 183 0.3× 396 0.7× 387 0.9× 801 2.4× 138 0.5× 69 1.6k
Daisuke Kawabata 636 1.1× 1.0k 1.8× 318 0.7× 651 2.0× 237 0.8× 48 1.8k
Dror Berel 379 0.7× 160 0.3× 698 1.6× 240 0.7× 404 1.4× 53 1.9k
Yung‐Yi Chen 173 0.3× 134 0.2× 303 0.7× 462 1.4× 43 0.2× 52 1.5k
Elizabeth E. Brown 229 0.4× 434 0.8× 830 2.0× 551 1.7× 69 0.2× 66 2.1k

Countries citing papers authored by Akihiro Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Murakami

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