Kazumi Matsuda

2.2k citations
133 papers · 1.6k indexed · h-index 24

Kazumi Matsuda

127 papers receiving 1.6k citations

Peers

Kazumi Matsuda
Comparison fields: 5 of 103
  • Psychiatry and Mental health 837
  • Cognitive Neuroscience 623
  • Cellular and Molecular Neuroscience 559
  • Pediatrics, Perinatology and Child Health 364
  • Neurology 244
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Citations per field
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Citations per year

Countries citing papers authored by Kazumi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Kazumi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20201
3 20110
4 20106
5 20090
6 200815
7 200712
8
A prospective study on body weight curve from geriatric age to old age : Age and gender specific analysis using age cohort of 4 hundred thousands
20050
9 200410
10 20011
11
[Focal cortical dysplasia and epilepsy surgery].
19976
12
[A phase 3 clinical trial of 123I-iomazenil, a new central-type benzodiazepine receptor imaging agent (Part 1)--report on clinical usefulness in diagnosis of various brain diseases].
19964
13
[A phase 3 clinical trial of 123I-iomazenil, a new central-type benzodiazepine receptor imaging agent (Part 2)--Report on clinical usefulness in diagnosis of degenerative neurological diseases and mental disorders].
19963
14
[A phase 3 clinical trial of 123I-iomazenil, a new central-type benzodiazepine receptor imaging agent (Part 3)--Report on clinical usefulness in epilepsy].
19962
15 19951
16 19943
17 19930
18 19932
19 19924
20 19901

About Kazumi Matsuda

Kazumi Matsuda is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 133 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epilepsy research and treatment (85 papers), Neuroscience and Neuropharmacology Research (41 papers), Pharmacological Effects and Toxicity Studies (20 papers), EEG and Brain-Computer Interfaces (17 papers), Neurological disorders and treatments (16 papers), Neural dynamics and brain function (12 papers), Glioma Diagnosis and Treatment (11 papers) and Fetal and Pediatric Neurological Disorders (11 papers). The work is most often cited by research in Psychiatry and Mental health (837 citations), Cognitive Neuroscience (623 citations) and Cellular and Molecular Neuroscience (559 citations). Kazumi Matsuda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yushi Inoue, Takayasu Tottori, Tadahiro Mihara, Koichi Baba, Keiko Usui, Naotaka Usui, Kiyohito Terada, Kazuichi Yagi, Fumihiro Nakamura and Yukitoshi Takahashi.

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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