Akira Awaya

91 total papers · 1.2k total citations
77 papers, 1.0k citations indexed

About

Akira Awaya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Akira Awaya has authored 77 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 12 papers in Surgery. Recurrent topics in Akira Awaya's work include Nerve injury and regeneration (12 papers), Glycosylation and Glycoproteins Research (7 papers) and Signaling Pathways in Disease (5 papers). Akira Awaya is often cited by papers focused on Nerve injury and regeneration (12 papers), Glycosylation and Glycoproteins Research (7 papers) and Signaling Pathways in Disease (5 papers). Akira Awaya collaborates with scholars based in Japan, Germany and United States. Akira Awaya's co-authors include Kojun Torigoe, Kazuo Hashimoto, Akira Takahashi, Masako Kato, Shinsuke Kato, Takashi Onodera, Takao Shinozawa, Tadashi Terada, Asao Hirano and Eisaku Ohama and has published in prestigious journals such as Neurology, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Akira Awaya

75 papers receiving 991 citations

Author Peers

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

Author Last Decade Papers Cites
Akira Awaya 402 296 141 132 111 77 1.0k
Goo‐Bo Jeong 516 1.3× 200 0.7× 65 0.5× 91 0.7× 136 1.2× 42 1.2k
Masao Mato 293 0.7× 147 0.5× 87 0.6× 70 0.5× 66 0.6× 66 883
Yoshimasa Sakamoto 595 1.5× 291 1.0× 199 1.4× 78 0.6× 54 0.5× 75 1.1k
Anthony M. Heape 462 1.1× 339 1.1× 60 0.4× 163 1.2× 234 2.1× 43 1.0k
Yasuhiro Yoshioka 386 1.0× 227 0.8× 277 2.0× 82 0.6× 75 0.7× 46 1.0k
Shimon Lecht 347 0.9× 235 0.8× 164 1.2× 38 0.3× 121 1.1× 44 1.0k
Sun‐Yong Baek 480 1.2× 162 0.5× 66 0.5× 53 0.4× 138 1.2× 49 1.1k
Heasoo Koo 315 0.8× 291 1.0× 90 0.6× 119 0.9× 121 1.1× 54 871
Ling Zhao 528 1.3× 117 0.4× 112 0.8× 83 0.6× 55 0.5× 49 1.0k
Sung Min Kim 621 1.5× 141 0.5× 146 1.0× 56 0.4× 62 0.6× 63 1.1k

Countries citing papers authored by Akira Awaya

Since Specialization
Citations

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

Fields of papers citing papers by Akira Awaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Awaya

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