Masanari Itokawa

6.9k citations
128 papers · 3.4k indexed · h-index 35

Masanari Itokawa

117 papers receiving 3.4k citations

Peers

Masanari Itokawa
Comparison fields: 5 of 137
  • Biological Psychiatry 306
  • Cellular and Molecular Neuroscience 1.3k
  • Psychiatry and Mental health 686
  • Clinical Biochemistry 264
  • Biochemistry 192
Replace Caroline Graff with:
Caroline Graff Sweden
H. Ronald Zielke United States
Kelvin A. Yamada United States
Catherine Bergeron Canada
Oliver Kann Germany
Robert Nisticò Italy
Konrad Talbot United States
Geidy E. Serrano United States
Christine Hulette United States
Elizabeth A. Thomas United States
Masanari Itokawa relative to Caroline Graff Sweden Caroline Graff's profile →
Citations per field
00.5×1.5×
Caroline Graff · 1×
Citations per year

Countries citing papers authored by Masanari Itokawa

Since Specialization
Citations

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

Fields of papers citing papers by Masanari Itokawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20230
4 202312
5 20222
6 20221
7 20221
8 202110
9 201922
10
Brain tissue fingerprints of schizophrenia and control individuals
20181
11 20167
12 201514
13 20138
14 20128
15 201128
16 201154
17 200935
18 200635
19 200622
20 1993112

About Masanari Itokawa

Masanari Itokawa is a scholar working on Biological Psychiatry, Structural Biology and Clinical Biochemistry, having authored 128 papers that have together received 3.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Advanced Glycation End Products research (15 papers), Schizophrenia research and treatment (13 papers), Functional Brain Connectivity Studies (12 papers), Tryptophan and brain disorders (11 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Genetic Associations and Epidemiology (10 papers). The work is most often cited by research in Biological Psychiatry (306 citations), Cellular and Molecular Neuroscience (1.3k citations) and Psychiatry and Mental health (686 citations). Masanari Itokawa has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Tadao Arinami, Makoto Arai, Michio Toru, Hideo Hamaguchi, Takeo Yoshikawa, Ichiro Sora, George R. Uhl, Tomoko Toyota, Mitsuhiro Miyashita and Hiroshi Ujike. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.

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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