I. Laszlovszky
- Psychiatry and Mental health top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Pharmacology top 1%
- Molecular Biology
- Clinical Psychology top 5%
- Co-authors
- Suresh DurgamGyörgy NémethKaifeng LuAdam RuthWillie EarleyIstván GyertyánRaffaele MiglioreÁgota Barabássy
- Topics
- Schizophrenia research and treatment (53 papers)Neurotransmitter Receptor Influence on Behavior (23 papers)Bipolar Disorder and Treatment (23 papers)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
I. Laszlovszky
95 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 96
- Psychiatry and Mental health 2.2k
- Cellular and Molecular Neuroscience 1.1k
- Pharmacology 595
- Molecular Biology 533
- Clinical Psychology 396
Countries citing papers authored by I. Laszlovszky
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
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-authorship network of co-authors of I. Laszlovszky
This figure shows the co-authorship network connecting the top 25 collaborators of I. Laszlovszky. A scholar is included among the top collaborators of I. Laszlovszky 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 I. Laszlovszky. I. Laszlovszky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | [Cariprazine, a new type - dopamine D₃ receptor preferring - partial agonist atypical antipsychotic for the treatment of schizophrenia and the primary negative symptoms]. | 2 |
| 3 | 43 | |
| 4 | 29 | |
| 5 | 25 | |
| 6 | 50 | |
| 7 | 236 | |
| 8 | 47 | |
| 9 | 92 | |
| 10 | 31 | |
| 11 | 97 | |
| 12 | 57 | |
| 13 | 147 | |
| 14 | 29 | |
| 15 | 12 | |
| 16 | 122 | |
| 17 | 24 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | 74 |
About I. Laszlovszky
I. Laszlovszky is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology, having authored 96 papers that have together received 3.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (53 papers), Neurotransmitter Receptor Influence on Behavior (23 papers) and Bipolar Disorder and Treatment (23 papers). The work is most often cited by research in Psychiatry and Mental health (2.2k citations), Biological Psychiatry (278 citations) and Cellular and Molecular Neuroscience (1.1k citations). I. Laszlovszky has collaborated with scholars based in Hungary, United States and Austria. 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 The Lancet, American Journal of Psychiatry and Neuroscience.
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.