Sachiko Mizuno

575 citations
17 papers · 420 indexed · h-index 8
Topics
Neuropeptides and Animal Physiology (5 papers)Receptor Mechanisms and Signaling (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
Partner nations
Japan

In The Last Decade

Sachiko Mizuno

16 papers receiving 401 citations

Peers

Sachiko Mizuno
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 127
  • Cellular and Molecular Neuroscience 107
  • Molecular Biology 83
  • Physiology 62
  • Epidemiology 61
Replace Joseph M. Hall with:
Joseph M. Hall United States
Yunjuan Gu China
David J. Dzielak United States
Hisashi Yokoi Japan
R M Lee Canada
Pınar Akan Türkiye
Alicia Falcón‐Neri United States
Wenshan Lv China
Linda N. Peterson Canada
Sachiko Mizuno relative to Joseph M. Hall United States Joseph M. Hall's profile →
Citations per field
00.5×2.7×
Joseph M. Hall · 1×
Citations per year

Countries citing papers authored by Sachiko Mizuno

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Mizuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Mizuno

This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Mizuno. A scholar is included among the top collaborators of Sachiko Mizuno 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 Sachiko Mizuno. Sachiko Mizuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1
The Saga of Anatahan and Japan
0
2 121
3 35
4 118
5
[Prevention and therapeutic strategy of metabolic syndrome--implications from the interim results of Japan Diabetes Complications Study(JDCS)].
5
6 1
7 1
8 1
9 1
10 8
11 25
12 4
13 25
14 4
15 19
16 47
17 5

About Sachiko Mizuno

Sachiko Mizuno is a scholar working on Anesthesiology and Pain Medicine, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (127 citations), Behavioral Neuroscience (27 citations) and Neurology (61 citations). Sachiko Mizuno has collaborated with scholars based in Japan. Frequent co-authors include Yasuo Ohashi, Norio Ogawa, Akitane Mori, Hideki Ito, Hiroyuki Umegaki, Akihisa Iguchi, Takashi Sakurai, Shiro Tanaka, Koichi Yokono and Toshihiro Takata. Their work appears in journals such as Diabetes Care, Brain Research and Life Sciences.

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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