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
  • Pathology and Forensic Medicine 151
  • Cellular and Molecular Neuroscience 150
  • Clinical Psychology 95
  • Epidemiology 77
  • Biological Psychiatry 74
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
Halina Matsumoto relative to Ihn‐Geun Choi South Korea Ihn‐Geun Choi's profile →
Citations per field
00.5×1.6×
Ihn‐Geun Choi · 1×
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 of co-authors of Halina Matsumoto

This figure shows the co-authorship network connecting the top 25 collaborators of Halina Matsumoto. A scholar is included among the top collaborators of Halina Matsumoto 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 Halina Matsumoto. Halina Matsumoto 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 14
2 11
3 11
4 6
5 8
6 16
7 145
8 39
9 15
10 40
11 34
12
TRYPTOPHAN HYDROXYLASE GENES POLYMORPHISMS AND THEIR PREDICTIVE AND DIAGNOSTIC VALUE (Diagnostyczne i predykcyjne znaczenie polimorfizmow genów hydroksylazy tryptofanu)
0
13 24
14 20
15 95
16
Influence of impulsiveness, suicidality, and serotonin genes on treatment outcomes in alcohol dependence - A preliminary report
2
17
Therapeutic drug monitoring in depression.
6
18 18
19 8
20 17

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) and Stress Responses and Cortisol (3 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 Psychiatry Research, Drug and Alcohol Dependence and Alcoholism Clinical and Experimental 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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