Jan Malát

1.0k citations
14 papers · 725 · 1 hit paper · h-index 5

Impact in

Papers in

Jan Malát

13 papers receiving 694 citations

Jan Malát's Hit Papers

Positron Emission Tomography Reveals Elevated D 2 Dopamine Receptors in Drug-Naive Schizophrenics 1986 · 681 citations
6810+13+26Years since publication200400600

Peers

Jan Malát
Comparison fields: 5 of 77
  • Psychiatry and Mental health 355
  • Biological Psychiatry 54
  • Cellular and Molecular Neuroscience 369
  • Cognitive Neuroscience 210
  • Neurology 87
Replace Christopher H van Dyck with:
Christopher H van Dyck United States
Ariel Graff Canada
DR Weinberger United States
Michael F. Egan United States
Keisuke Takahata Japan
M. L. Paillère-Martinot France
Shin’Ya Tayoshi Japan
C. Stephenson United Kingdom
Paolo Valsecchi Italy
Satsuki Sumitani Japan
Jan Malát relative to Christopher H van Dyck United States Christopher H van Dyck's profile →
Citations per field
00.5×1.5×
Christopher H van Dyck · 1×
Citations per year

Countries citing papers authored by Jan Malát

Since Specialization
Citations

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

Fields of papers citing papers by Jan Malát

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Positron Emission Tomography Reveals Elevated D 2 Dopamine Receptors in Drug-Naive Schizophrenics
Hit paper breakdown →
1986681
2 20179
3 20108
4 20086
5 20114
6 19974
7 19913
8 20133
9 20112
10 20172
11 20141
12 19931
13 20131
14 20240

About Jan Malát

Jan Malát is a scholar working on Clinical Psychology, Psychiatry and Mental health, Epidemiology, Applied Psychology and Pharmacology, having authored 14 papers that have together received 725 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (4 papers), Substance Abuse Treatment and Outcomes (3 papers), Analytical Chemistry and Chromatography (2 papers), Gambling Behavior and Treatments (2 papers), Psychotherapy Techniques and Applications (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Psychiatry and Mental health (355 citations), Biological Psychiatry (54 citations), Cellular and Molecular Neuroscience (369 citations), Cognitive Neuroscience (210 citations) and Neurology (87 citations). Jan Malát has collaborated with scholars based in Canada, Czechia and United States. Frequent co-authors include Dean F. Wong, Larry E. Tune, Emmanuel Broussolle, Godfrey D. Pearlson, Alan A. Wilson, J. K. Thomas Toung, Lorcan A. O’Tuama, Jonathan M. Links, Albert Gjedde and Jeffery A. Williams. Their work appears in journals such as Academic Psychiatry, American Journal on Addictions, Rapid Communications in Mass Spectrometry, Journal of Addiction Medicine and Science.

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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