I. Laszlovszky

4.2k citations
96 papers · 3.2k · h-index 31

Impact in

Papers in

I. Laszlovszky

95 papers receiving 3.1k citations

Peers

I. Laszlovszky
Comparison fields: 5 of 90
  • Psychiatry and Mental health 1.9k
  • Biological Psychiatry 203
  • Cellular and Molecular Neuroscience 918
  • Pharmacology 443
  • Clinical Psychology 306
Replace Suresh Durgam with:
Suresh Durgam United States
David C. Mamo Canada
Sergey Mosolov Russia
Sridhar Natesan United Kingdom
Josephine Cucchiaro United States
Herbert Y. Meltzer United States
Ilise Lombardo United States
Nobuhisa Kanahara Japan
Burt Angrist United States
Richard L. Borison United States
I. Laszlovszky relative to Suresh Durgam United States Suresh Durgam's profile →
Citations per field
00.5×1.5×2.3×
Suresh Durgam · 1×
Citations per year

Countries citing papers authored by I. Laszlovszky

Since Specialization
Citations

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

Fields of papers citing papers by I. Laszlovszky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010294
2 2017239
3 2015150
4 2014148
5 2015138
6 2015130
7 2004122
8 201698
9 201496
10 201495
11 201695
12 201490
13 201986
14 199075
15 201275
16 201674
17 201761
18 200858
19 201557
20 201750

About I. Laszlovszky

I. Laszlovszky is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Clinical Psychology, having authored 96 papers that have together received 3.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (41 papers), Bipolar Disorder and Treatment (16 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Receptor Mechanisms and Signaling (12 papers), Child and Adolescent Psychosocial and Emotional Development (10 papers), Treatment of Major Depression (9 papers), Neuroscience and Neuropharmacology Research (8 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). The work is most often cited by research in Psychiatry and Mental health (1.9k citations), Biological Psychiatry (203 citations), Cellular and Molecular Neuroscience (918 citations), Pharmacology (443 citations) and Clinical Psychology (306 citations). I. Laszlovszky has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Suresh Durgam, György Németh, Kaifeng Lu, Adam Ruth, Willie Earley, István Gyertyán, Raffaele Migliore, Ágota Barabássy, Anju Starace and Béla Kiss. Their work appears in journals such as European Neuropsychopharmacology, European Psychiatry, Journal of Affective Disorders, International Clinical Psychopharmacology and The Journal of Clinical Psychiatry.

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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