Daiki Masukawa

71 total papers · 478 total citations
34 papers, 354 citations indexed

About

Daiki Masukawa is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Daiki Masukawa has authored 34 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Daiki Masukawa's work include Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Pain Mechanisms and Treatments (7 papers). Daiki Masukawa is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Pain Mechanisms and Treatments (7 papers). Daiki Masukawa collaborates with scholars based in Japan and United States. Daiki Masukawa's co-authors include Yoshio Goshima, Tsutomu Suzuki, Tomohisa Mori, Fumio Nakamura, Masahiro Shibasaki, Kazumi Yoshizawa, Syunji Horie, Kenjiro Matsumoto, Tatsuo Hashimoto and Hiroshi Miyamoto and has published in prestigious journals such as Brain Research, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Daiki Masukawa

31 papers receiving 349 citations

Author Peers

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

Author Last Decade Papers Cites
Daiki Masukawa 167 140 77 48 41 34 354
Vanessa Soubeyre 115 0.7× 117 0.8× 95 1.2× 13 0.3× 22 0.5× 21 349
Kentaro Tokudome 199 1.2× 139 1.0× 41 0.5× 39 0.8× 49 1.2× 24 386
Akito Nakao 111 0.7× 140 1.0× 42 0.5× 38 0.8× 9 0.2× 26 400
V. Dinnendahl 181 1.1× 156 1.1× 79 1.0× 19 0.4× 16 0.4× 19 391
Mathieu Di Miceli 58 0.3× 109 0.8× 84 1.1× 14 0.3× 17 0.4× 24 377
Teruko Nomoto 228 1.4× 137 1.0× 145 1.9× 12 0.3× 9 0.2× 52 404
T Kukorelli 141 0.8× 114 0.8× 46 0.6× 48 1.0× 27 0.7× 23 391
Mohammad Raman Moloudi 82 0.5× 129 0.9× 104 1.4× 16 0.3× 51 1.2× 40 402
A. MUREN 85 0.5× 51 0.4× 119 1.5× 19 0.4× 18 0.4× 23 364
I. A. Vladimirova 123 0.7× 165 1.2× 97 1.3× 13 0.3× 11 0.3× 28 327

Countries citing papers authored by Daiki Masukawa

Since Specialization
Citations

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

Fields of papers citing papers by Daiki Masukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiki Masukawa

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