Chikai Sakurada

1.5k citations
55 papers · 1.3k indexed · h-index 24
Topics
Pain Mechanisms and Treatments (45 papers)Neuropeptides and Animal Physiology (42 papers)Receptor Mechanisms and Signaling (11 papers)
Partner nations
JapanSwedenUnited States

In The Last Decade

Chikai Sakurada

55 papers receiving 1.3k citations

Peers

Chikai Sakurada
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 837
  • Physiology 823
  • Molecular Biology 592
  • Pharmacology 110
  • Pharmacology 100
Replace S.J. Ireland with:
S.J. Ireland United Kingdom
Chengshui Zhao United States
H.-M. Reinold Germany
Carlos Rogério Tonussi Brazil
Akihiko Yonezawa Japan
Sou Katsuyama Japan
Emer M. Garry United Kingdom
Stewart J. Paterson United Kingdom
Rosa Maria A. Simmons United States
Ana Lastra Spain
Chikai Sakurada relative to S.J. Ireland United Kingdom S.J. Ireland's profile →
Citations per field
00.5×10×20×28×
S.J. Ireland · 1×
Citations per year

Countries citing papers authored by Chikai Sakurada

Since Specialization
Citations

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

Fields of papers citing papers by Chikai Sakurada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikai Sakurada

This figure shows the co-authorship network connecting the top 25 collaborators of Chikai Sakurada. A scholar is included among the top collaborators of Chikai Sakurada 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 Chikai Sakurada. Chikai Sakurada 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
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2 4
3
Anticholesteremic agents, statins, modulate monocyte activation in cultured human THP-1 cells
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4 17
5 9
6 19
7 14
8 7
9 27
10 15
11 6
12 20
13 28
14 20
15 20
16 14
17 75
18 24
19 67
20 4

About Chikai Sakurada

Chikai Sakurada is a scholar working on Cellular and Molecular Neuroscience, Physiology and Sensory Systems, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (45 papers), Neuropeptides and Animal Physiology (42 papers) and Receptor Mechanisms and Signaling (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (837 citations), Physiology (823 citations) and Sensory Systems (83 citations). Chikai Sakurada has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Tsukasa Sakurada, Shinobu Sakurada, Koichi Tan‐No, Kensuke Kisara, Sou Katsuyama, Takafumi Hayashi, Chizuko Watanabe, Akinori Sugiyama, Tomoko Moriyama and Akihiko Yonezawa. Their work appears in journals such as Brain Research, Pain and Journal of Pharmacology and Experimental Therapeutics.

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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