László Tóthfalusi
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Biological Psychiatry top 5%
Papers in
-
- Statistical Methods in Clinical Trials 32
- Co-authors
- László EndrényiKornélia TekesK. MagyarAlfredo García‐ArietaGyörgy BagdyMihály AratóMiklós PalkovitsGábor Faludi
- Journals
- Pharmaceutical Research (7 papers)Journal of Pharmacy & Pharmaceutical Sciences (4 papers)Statistics in Medicine (3 papers)The AAPS Journal (3 papers)Biological Psychiatry (2 papers)
- Partner nations
- HungaryCanadaUnited States
In The Last Decade
László Tóthfalusi
83 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 415
- Biological Psychiatry 65
- Pharmaceutical Science 98
- Toxicology 48
- Cellular and Molecular Neuroscience 244
Countries citing papers authored by László Tóthfalusi
This map shows the geographic impact of László Tóthfalusi'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 László Tóthfalusi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Tóthfalusi more than expected).
Fields of papers citing papers by László Tóthfalusi
This network shows the impact of papers produced by László Tóthfalusi. 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 László Tóthfalusi. The network helps show where László Tóthfalusi may publish in the future.
Co-authors
The 25 scholars most cited alongside László Tóthfalusi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 18 | |
| 3 | 2019 | 3 | |
| 4 | 2018 | 12 | |
| 5 | 2014 | 9 | |
| 6 | 2014 | 33 | |
| 7 | 2012 | 37 | |
| 8 | 2011 | 37 | |
| 9 | 2009 | 66 | |
| 10 | 2009 | 25 | |
| 11 | 2007 | 7 | |
| 12 | 2007 | 23 | |
| 13 | 2006 | 6 | |
| 14 | 2005 | 9 | |
| 15 | 2003 | 9 | |
| 16 | 2001 | 2 | |
| 17 | 1996 | 2 | |
| 18 | 1995 | 34 | |
| 19 | 1988 | 24 | |
| 20 | Pharmacokinetic aspects of deprenyl effects. | 1984 | 26 |
About László Tóthfalusi
László Tóthfalusi is a scholar working on Statistics and Probability, Biological Psychiatry, Management Science and Operations Research, Pharmacology and Cellular and Molecular Neuroscience, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (32 papers), Pharmaceutical studies and practices (13 papers), Optimal Experimental Design Methods (12 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Biosimilars and Bioanalytical Methods (10 papers), Computational Drug Discovery Methods (9 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Statistics and Probability (415 citations), Biological Psychiatry (65 citations), Pharmaceutical Science (98 citations), Toxicology (48 citations) and Cellular and Molecular Neuroscience (244 citations). László Tóthfalusi has collaborated with scholars based in Hungary, Canada and United States. Frequent co-authors include László Endrényi, Kornélia Tekes, K. Magyar, Alfredo García‐Arieta, György Bagdy, Mihály Arató, Miklós Palkovits, Gábor Faludi, Péter Petschner and Gabriella Juhász. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmacy & Pharmaceutical Sciences, Statistics in Medicine, The AAPS Journal and Biological 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.