Daiki Masukawa

479 citations
34 papers · 354 indexed · h-index 11
Topics
Receptor Mechanisms and Signaling (10 papers)Neurotransmitter Receptor Influence on Behavior (9 papers)Pain Mechanisms and Treatments (7 papers)
Partner nations
JapanUnited States

In The Last Decade

Daiki Masukawa

31 papers receiving 349 citations

Peers

Daiki Masukawa
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 167
  • Molecular Biology 140
  • Physiology 77
  • Cell Biology 48
  • Neurology 41
Replace Vanessa Soubeyre with:
Vanessa Soubeyre France
Kentaro Tokudome Japan
Laura Montero United States
Lauriane Ramet Canada
Ross G. Vickery United States
Jinhao Sun China
Albert Orock United States
Mariana Temido‐Ferreira Portugal
Rebecca L. Walker United States
I. A. Vladimirova Ukraine
Daiki Masukawa relative to Vanessa Soubeyre France Vanessa Soubeyre's profile →
Citations per field
00.5×3.7×
Vanessa Soubeyre · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 4
4 11
5 1
6 4
7 8
8 0
9 2
10 15
11 20
12 2
13 15
14 21
15 19
16 3
17 10
18 12
19 4
20 25

About Daiki Masukawa

Daiki Masukawa is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Sensory Systems, having authored 34 papers that have together received 354 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Pain Mechanisms and Treatments (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (167 citations), Gastroenterology (32 citations) and Endocrine and Autonomic Systems (30 citations). Daiki Masukawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Yoshio Goshima, Tsutomu Suzuki, Tomohisa Mori, Fumio Nakamura, Masahiro Shibasaki, Kazumi Yoshizawa, Syunji Horie, Kenjiro Matsumoto, Tatsuo Hashimoto and Itaru Endo. Their work appears in journals such as Brain Research, Neuroscience and Journal of Neurochemistry.

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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