Makoto Mizuno

5.4k citations
162 papers · 4.5k indexed · h-index 33

Makoto Mizuno

157 papers receiving 4.3k citations

Peers

Makoto Mizuno
Comparison fields: 5 of 157
  • Developmental Neuroscience 558
  • Biological Psychiatry 300
  • Cellular and Molecular Neuroscience 1.5k
  • Behavioral Neuroscience 291
  • Neurology 443
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Citations per year

Countries citing papers authored by Makoto Mizuno

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Mizuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Makoto Mizuno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Makoto Mizuno Line = papers co-authored together Makoto Mizuno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20190
2 20176
3 201726
4 201711
5 201613
6 201514
7 201231
8
Novel Modification Method using Laplace Equation for 3-D Motion Analysis with Finite Element Method
20097
9 200733
10 200370
11 2003137
12 2003149
13
In Vitro Phototoxicity of Fragrance Materials : Evaluation in the 3T3 NRU Phototoxicity Test
20021
14 200266
15 199766
16 19913
17 19915
18
[Intraventricular hematomas associated with hypertensive intracerebral hemorrhages: with special reference to third ventricular hematoma].
19906
19
197. Characterization of Epidermal Growth Factor (EGF) Recepter in Human Endometrium and its Cyclic Changes during the Menstrual Cycle
19855
20
16. Decondensation of Sperm Head Injected into Oocyte under Micromanipulation
19856

About Makoto Mizuno

Makoto Mizuno is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Neurology, having authored 162 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Antiplatelet Therapy and Cardiovascular Diseases (12 papers), Receptor Mechanisms and Signaling (11 papers), Diatoms and Algae Research (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Neurosurgical Procedures and Complications (8 papers) and Nerve injury and regeneration (8 papers). The work is most often cited by research in Developmental Neuroscience (558 citations), Biological Psychiatry (300 citations) and Cellular and Molecular Neuroscience (1.5k citations). Makoto Mizuno has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toshitaka Nabeshima, Kiyofumi Yamada, Ana Olariu, Hiroyuki Nawa, Toshio Sada, Toshitaka Nabeshima, Kiyofumi Yamada, Akira Nakajima, Nobuyuki Takei and Hiroyuki Koike. Their work appears in journals such as Neurologia medico-chirurgica, European Journal of Pharmacology, PLoS ONE, Journal of Neurochemistry and Thrombosis Research.

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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