Mizue Makimura

441 citations
28 papers · 388 indexed · h-index 11
Topics
Receptor Mechanisms and Signaling (11 papers)Neuropeptides and Animal Physiology (10 papers)Pain Mechanisms and Treatments (8 papers)
Journals
SHILAP Revista de lepidopterologíaBrain ResearchEuropean Journal of Pharmacology
Partner nations
JapanUnited States

In The Last Decade

Mizue Makimura

28 papers receiving 373 citations

Peers

Mizue Makimura
Comparison fields: 5 of 84
  • Cellular and Molecular Neuroscience 234
  • Molecular Biology 192
  • Physiology 124
  • Pharmacology 35
  • Spectroscopy 25
Replace G. LECLERC with:
G. LECLERC France
Daniel J. Canney United States
Jerome R. Bagley United States
Rongliang Lou United States
G. REMOND France
Ruben Vardanyan United States
Nicole Kennedy United States
Giovanni Viti Italy
A. Donetti Italy
Steven Dabbs United States
Mizue Makimura relative to G. LECLERC France G. LECLERC's profile →
Citations per field
00.5×3.5×
G. LECLERC · 1×
Citations per year

Countries citing papers authored by Mizue Makimura

Since Specialization
Citations

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

Fields of papers citing papers by Mizue Makimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mizue Makimura

This figure shows the co-authorship network connecting the top 25 collaborators of Mizue Makimura. A scholar is included among the top collaborators of Mizue Makimura 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 Mizue Makimura. Mizue Makimura 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 29
2 14
3 4
4 1
5 11
6 13
7 26
8 4
9 9
10 2
11 7
12 48
13 13
14 83
15 5
16 6
17 37
18 2
19 1
20 1

About Mizue Makimura

Mizue Makimura is a scholar working on Cellular and Molecular Neuroscience, Geriatrics and Gerontology and Occupational Therapy, having authored 28 papers that have together received 388 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (10 papers) and Pain Mechanisms and Treatments (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (234 citations), Physiology (124 citations) and Pharmaceutical Science (22 citations). Mizue Makimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Beth Hoskins, Minoru Narita, I.K. Ho, Yangzheng Feng, Ing K. Ho, Hideomi Fukuda, Yoshihisa Ito, Kazuo Tomono, Keiichi Tabata and Yuki Sasaki. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and European Journal of Pharmacology.

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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