Masatoshi Katagiri

734 total citations
24 papers, 566 citations indexed

About

Masatoshi Katagiri is a scholar working on Cognitive Neuroscience, Clinical Psychology and Molecular Biology. According to data from OpenAlex, Masatoshi Katagiri has authored 24 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Clinical Psychology and 4 papers in Molecular Biology. Recurrent topics in Masatoshi Katagiri's work include Autism Spectrum Disorder Research (5 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Attention Deficit Hyperactivity Disorder (2 papers). Masatoshi Katagiri is often cited by papers focused on Autism Spectrum Disorder Research (5 papers), Obsessive-Compulsive Spectrum Disorders (2 papers) and Attention Deficit Hyperactivity Disorder (2 papers). Masatoshi Katagiri collaborates with scholars based in Japan and United States. Masatoshi Katagiri's co-authors include Michael R. Waterman, Norio Kagawa, Kyoko Tanaka, Jun Nakazawa, Toshiro Niwa, Yoshiyasu Yabusaki, Naoki Matsuo, Yoko Kamio, Kazuhiro Asano and Naoyuki Miyokawa and has published in prestigious journals such as The Journal of Immunology, Archives of Biochemistry and Biophysics and Journal of Autism and Developmental Disorders.

In The Last Decade

Masatoshi Katagiri

21 papers receiving 559 citations

Peers

Masatoshi Katagiri
Comparison fields: 5 of 92
  • Pharmacology 160
  • Endocrinology, Diabetes and Metabolism 148
  • Molecular Biology 144
  • Pediatrics, Perinatology and Child Health 93
  • Cognitive Neuroscience 77
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Citations per field, relative to Masatoshi Katagiri
Masatoshi Katagiri · 1×
Citations per year, relative to Masatoshi Katagiri
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Countries citing papers authored by Masatoshi Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Masatoshi Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Katagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Masatoshi Katagiri. A scholar is included among the top collaborators of Masatoshi Katagiri 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 Masatoshi Katagiri. Masatoshi Katagiri 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
# Work Indexed citations
1 36
2 0
3 10
4
A Cross-Sectional Study of the Effects of Social Support on the Mental Health of 4th–9th Grade Students
1
5 1
6 9
7 4
8
Relationships of Bullying Behaviors and Peer Victimization with Internalizing/Externalizing Problems.
2
9 88
10 26
11 1
12 1
13 7
14 19
15 2
16 14
17 81
18
CD4+ T cells from peripheral blood of a melanoma patient recognize peptides derived from nonmutated tyrosinase.
61
19 14
20 2

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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