Eiichiro Mukai

24 total papers · 2.1k total citations
19 papers, 1.5k citations indexed

About

Eiichiro Mukai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Eiichiro Mukai has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Eiichiro Mukai's work include Genetic Neurodegenerative Diseases (8 papers), Hereditary Neurological Disorders (5 papers) and Ubiquitin and proteasome pathways (3 papers). Eiichiro Mukai is often cited by papers focused on Genetic Neurodegenerative Diseases (8 papers), Hereditary Neurological Disorders (5 papers) and Ubiquitin and proteasome pathways (3 papers). Eiichiro Mukai collaborates with scholars based in Japan and Greece. Eiichiro Mukai's co-authors include Gen Sobue, Terunori Mitsuma, Masaaki Hirayama, Manabu Doyu, Akira Takahashi, Teruhiko Kachi, Yoshio Hashizume, Takeshi Yasuda, Ikuko Aiba and Yufuko Saito and has published in prestigious journals such as Brain, Neurology and Annals of Neurology.

In The Last Decade

Eiichiro Mukai

18 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Eiichiro Mukai 847 750 650 304 163 19 1.5k
Edgar F. Salazar‐Grueso 641 0.8× 364 0.5× 569 0.9× 177 0.6× 114 0.7× 21 1.5k
Woon-Chee Yee 892 1.1× 665 0.9× 502 0.8× 139 0.5× 88 0.5× 33 1.5k
Jacques Lamarche 568 0.7× 459 0.6× 686 1.1× 225 0.7× 116 0.7× 46 1.7k
Bruce A. Rabin 344 0.4× 581 0.8× 801 1.2× 441 1.5× 257 1.6× 19 1.6k
Lan Xu 459 0.5× 816 1.1× 720 1.1× 605 2.0× 133 0.8× 18 1.7k
Glenn Lopate 464 0.5× 785 1.0× 325 0.5× 217 0.7× 105 0.6× 35 1.4k
J.M. Vallat 404 0.5× 935 1.2× 423 0.7× 512 1.7× 212 1.3× 51 1.6k
Kevin J. Felice 349 0.4× 684 0.9× 643 1.0× 500 1.6× 94 0.6× 65 1.7k
J. Bethlem 333 0.4× 416 0.6× 723 1.1× 205 0.7× 98 0.6× 35 1.4k
L. J. Rubinstein 268 0.3× 481 0.6× 550 0.8× 651 2.1× 120 0.7× 32 1.6k

Countries citing papers authored by Eiichiro Mukai

Since Specialization
Citations

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

Fields of papers citing papers by Eiichiro Mukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiichiro Mukai

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