Masato Mitome

639 citations
21 papers · 523 · h-index 13

Impact in

Papers in

Masato Mitome

21 papers receiving 510 citations

Peers

Masato Mitome
Comparison fields: 5 of 89
  • Developmental Neuroscience 123
  • Endocrine and Autonomic Systems 191
  • Behavioral Neuroscience 45
  • Periodontics 45
  • Aging 13
Replace Jenny Morton with:
Jenny Morton United Kingdom
Cláudio Aparecido Casatti Brazil
Mingzi Ran China
G Sétáló Hungary
Pedro A. Pereira Portugal
Sara R. Guariglia United States
Tamara N. Kolli United States
Niels Haan United Kingdom
Nicholas J. Queen United States
Chang‐Lin Lu China
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Citations per field
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Citations per year

Countries citing papers authored by Masato Mitome

Since Specialization
Citations

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

Fields of papers citing papers by Masato Mitome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Masato Mitome, 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 Masato Mitome Line = papers co-authored together Masato Mitome links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007137
2 200161
3
Maternal age at birth and other risk factors in early childhood caries.
201141
4 200240
5 200530
6 200428
7 199427
8 200725
9 200424
10 200120
11 199618
12 201217
13 199714
14
Salivary catecholamine assay for assessing anxiety in pediatric dental patients.
199711
15 20117
16 20047
17 20047
18 20094
19
[The central mechanism of feeding-associated circadian corticosterone rhythm in rats: analyses of paraventricular noradrenaline by in vivo microdialysis].
19942
20 20012

About Masato Mitome

Masato Mitome is a scholar working on Endocrine and Autonomic Systems, Developmental Neuroscience, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 523 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neuroendocrine regulation and behavior (3 papers), Mesenchymal stem cell research (2 papers), Neuroscience of respiration and sleep (2 papers), Nitric Oxide and Endothelin Effects (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Developmental Neuroscience (123 citations), Endocrine and Autonomic Systems (191 citations), Behavioral Neuroscience (45 citations), Periodontics (45 citations) and Aging (13 citations). Masato Mitome has collaborated with scholars based in Japan and United States. Frequent co-authors include Nobutaka Horie, Kazuyuki Shinohara, Takahiro Moriya, Tetsuo Shirakawa, Haruhisa Oguchi, Tomokazu Hasegawa, Toshihiro Yoshihara, Sato Honma, Yoshitaka Yoshimura and Kenji Arita. Their work appears in journals such as Neuroreport, International Journal of Molecular Medicine, Journal of Pineal Research, Endocrinology and Neuroscience.

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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