Halina Matsumoto

739 citations
25 papers · 566 indexed · h-index 13

Halina Matsumoto

24 papers receiving 553 citations

Peers

Halina Matsumoto
Comparison fields: 5 of 84
  • Biological Psychiatry 74
  • Behavioral Neuroscience 74
  • Pathology and Forensic Medicine 151
  • Cellular and Molecular Neuroscience 150
  • Developmental Neuroscience 30
Replace Ihn‐Geun Choi with:
Ihn‐Geun Choi South Korea
Antonio Noronha United States
Fang‐Jung Wan Taiwan
Natalie J. Groves Australia
Pablo Baliño Spain
Suzanne Y. Stevens United States
Yumiko Ikeda Japan
Çiğdem Aydemir Türkiye
Annie M. Whitaker United States
Elisa Cristiana Winkelmann Duarte Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Halina Matsumoto

Since Specialization
Citations

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

Fields of papers citing papers by Halina Matsumoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201714
2 201711
3 201611
4 20166
5 20148
6 201316
7 2013145
8 201239
9 201215
10 201140
11 201134
12
TRYPTOPHAN HYDROXYLASE GENES POLYMORPHISMS AND THEIR PREDICTIVE AND DIAGNOSTIC VALUE (Diagnostyczne i predykcyjne znaczenie polimorfizmow genów hydroksylazy tryptofanu)
20090
13 200924
14 200920
15 200995
16
Influence of impulsiveness, suicidality, and serotonin genes on treatment outcomes in alcohol dependence - A preliminary report
20072
17
Therapeutic drug monitoring in depression.
20016
18 199618
19 19958
20 199117

About Halina Matsumoto

Halina Matsumoto is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Complementary and Manual Therapy, having authored 25 papers that have together received 566 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (6 papers), Substance Abuse Treatment and Outcomes (5 papers), Stress Responses and Cortisol (3 papers), Bipolar Disorder and Treatment (3 papers), Alcohol Consumption and Health Effects (3 papers), Tryptophan and brain disorders (3 papers), Treatment of Major Depression (3 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Biological Psychiatry (74 citations), Behavioral Neuroscience (74 citations) and Pathology and Forensic Medicine (151 citations). Halina Matsumoto has collaborated with scholars based in Poland, United States and Italy. Frequent co-authors include Marcin Wojnar, Małgorzata Wrzosek, Andrzej Jakubczyk, Jacek Łukaszkiewicz, Maria Radziwoń-Zaleska, Kirk J. Brower, Margit Burmeister, Elżbieta Śliwerska, Grażyna Nowicka and Paweł Piątkiewicz. Their work appears in journals such as Pharmacological Reports, Alcoholism Clinical and Experimental Research, Journal of Psychiatric Research, Psychiatry Research and Alcohol and Alcoholism.

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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