Mitsumoto Sato

4.7k citations
131 papers · 3.7k indexed · h-index 33
Topics
Neuroscience and Neuropharmacology Research (43 papers)Epilepsy research and treatment (32 papers)Neurotransmitter Receptor Influence on Behavior (26 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Mitsumoto Sato

129 papers receiving 3.5k citations

Peers

Mitsumoto Sato
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 2.0k
  • Psychiatry and Mental health 1.4k
  • Molecular Biology 915
  • Cognitive Neuroscience 782
  • Pediatrics, Perinatology and Child Health 337
Replace R. Hitzemann with:
R. Hitzemann United States
Julie K. Staley United States
Richard B. Rosse United States
Masami Futatsubashi Japan
M A Geyer United States
Nicola G. Cascella United States
Dinko Franceschi United States
Ronald Van Heertum United States
W.E. Bunney United States
Yu‐Shin Ding United States
Mitsumoto Sato relative to R. Hitzemann United States R. Hitzemann's profile →
Citations per field
00.5×3.0×
R. Hitzemann · 1×
Citations per year

Countries citing papers authored by Mitsumoto Sato

Since Specialization
Citations

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

Fields of papers citing papers by Mitsumoto Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsumoto Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsumoto Sato. A scholar is included among the top collaborators of Mitsumoto Sato 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 Mitsumoto Sato. Mitsumoto Sato 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 53
2 20
3 23
4 13
5 7
6 2
7 5
8 41
9
Algorithm for schizophrenia in Japan.
2
10 31
11 1
12 2
13 6
14 1
15 123
16 2
17 3
18 20
19 3
20
Probenecid-induced convulsion and cerebrospinal cyclic nucleotides in the kindling cat preparations
2

About Mitsumoto Sato

Mitsumoto Sato is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Biochemistry, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (43 papers), Epilepsy research and treatment (32 papers) and Neurotransmitter Receptor Influence on Behavior (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.0k citations), Psychiatry and Mental health (1.4k citations) and Medical Terminology (13 citations). Mitsumoto Sato has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Jun Wada, Yohtaro Numachi, Hiroshi Ujike, Saburo Otsuki, Michael E. Corcoran, R. Racine, Dan McIntyre, Kazufumi Akiyama, Takashi Hamamura and Chihiro Ito. Their work appears in journals such as Brain, Biological Psychiatry and Brain 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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