Matti Huttunen

10.5k citations
124 papers · 7.8k indexed · 1 hit paper · h-index 48

Matti Huttunen

120 papers receiving 7.5k citations

Hit Papers

Genetic influences on brain structure7432001202620092017200400600

Peers

Matti Huttunen
Comparison fields: 5 of 161
  • Biological Psychiatry 550
  • Psychiatry and Mental health 2.7k
  • Cognitive Neuroscience 2.3k
  • Behavioral Neuroscience 402
  • Cellular and Molecular Neuroscience 895
Replace Nobumasa Kato with:
Nobumasa Kato Japan
Graham K. Murray United Kingdom
Alan G. Mallinger United States
Colm McDonald Ireland
Hugo G. Schnack Netherlands
In Kyoon Lyoo South Korea
Stephen R. Dager United States
Lynn E. DeLisi United States
Robert M. Cohen United States
Lisa T. Eyler United States
Matti Huttunen relative to Nobumasa Kato Japan Nobumasa Kato's profile →
Citations per field
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Nobumasa Kato · 1×
Citations per year

Countries citing papers authored by Matti Huttunen

Since Specialization
Citations

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

Fields of papers citing papers by Matti Huttunen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20168
2 201218
3
Phospholipids and insulin resistance in psychosis: A lipidomics study of twin pairs discordant for schizophrenia
2012140
4 201246
5 20123
6 201229
7 201275
8 201154
9 201157
10 201053
11 200816
12 200666
13 2005255
14 200347
15 200255
16 2000112
17 1999157
18 199589
19 19924
20 197428

About Matti Huttunen

Matti Huttunen is a scholar working on Psychiatry and Mental health, Biological Psychiatry and Cognitive Neuroscience, having authored 124 papers that have together received 7.8k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (38 papers), Functional Brain Connectivity Studies (18 papers), Child and Adolescent Psychosocial and Emotional Development (17 papers), Maternal Mental Health During Pregnancy and Postpartum (10 papers), Genetic Associations and Epidemiology (10 papers), Birth, Development, and Health (9 papers), Advanced Neuroimaging Techniques and Applications (9 papers) and Bipolar Disorder and Treatment (9 papers). The work is most often cited by research in Biological Psychiatry (550 citations), Psychiatry and Mental health (2.7k citations) and Cognitive Neuroscience (2.3k citations). Matti Huttunen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Tyrone D. Cannon, Jouko Lönnqvist, Jaakko Kaprio, Theo G.M. van Erp, Veli-Pekka Poutanen, Paul M. Thompson, Sebastian Therman, Arthur W. Toga, Markku Koskenvuo and Marko Manninen. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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