Péter Kása
Impact in
-
- Neuroscience and Neuropharmacology Research
- Pharmacology top 1%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Neuroscience and Neuropharmacology Research 43
- Neuropeptides and Animal Physiology 8
- Pharmacology 41
- Cholinesterase and Neurodegenerative Diseases 41
- Co-authors
- Károly Gulya (27 shared papers)Zoltan Rakonczay Jr. (18 shared papers)Ferenc Joó (20 shared papers)B. Csillik (8 shared papers)Magdolna Pákáski (20 shared papers)Joachim R. Wolff (19 shared papers)Klára Pintye‐Hódi (30 shared papers)Péter Szerdahelyi (6 shared papers)
- Journals
- Journal of Neurochemistry (14 papers)Brain Research (7 papers)Neuroscience (6 papers)Nature (4 papers)Acta Histochemica (4 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Péter Kása
158 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 1.1k
- Pharmacology 690
- Neurology 254
- Sensory Systems 162
- Pharmaceutical Science 202
Countries citing papers authored by Péter Kása
This map shows the geographic impact of Péter Kása'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 Péter Kása with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Péter Kása more than expected).
Fields of papers citing papers by Péter Kása
This network shows the impact of papers produced by Péter Kása. 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 Péter Kása. The network helps show where Péter Kása may publish in the future.
Co-authors
The 25 scholars most cited alongside Péter Kása, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 367 | |
| 2 | 1986 | 198 | |
| 3 | 2010 | 159 | |
| 4 | 1990 | 114 | |
| 5 | 2000 | 93 | |
| 6 | 1970 | 85 | |
| 7 | 1969 | 84 | |
| 8 | 1968 | 83 | |
| 9 | 2000 | 80 | |
| 10 | 2009 | 77 | |
| 11 | 1966 | 76 | |
| 12 | 2010 | 71 | |
| 13 | 1997 | 67 | |
| 14 | 2008 | 67 | |
| 15 | 1995 | 64 | |
| 16 | 1981 | 59 | |
| 17 | 2011 | 59 | |
| 18 | 2007 | 54 | |
| 19 | 1963 | 51 | |
| 20 | 1992 | 51 |
About Péter Kása
Péter Kása is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Physiology, Pharmaceutical Science and Computational Mechanics, having authored 165 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (43 papers), Cholinesterase and Neurodegenerative Diseases (41 papers), Alzheimer's disease research and treatments (36 papers), Granular flow and fluidized beds (18 papers), Drug Solubulity and Delivery Systems (15 papers), Neuropeptides and Animal Physiology (8 papers), Nicotinic Acetylcholine Receptors Study (7 papers) and Olfactory and Sensory Function Studies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Pharmacology (690 citations), Neurology (254 citations), Sensory Systems (162 citations) and Pharmaceutical Science (202 citations). Péter Kása has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Károly Gulya, Zoltan Rakonczay Jr., Ferenc Joó, B. Csillik, Magdolna Pákáski, Joachim R. Wolff, Klára Pintye‐Hódi, Péter Szerdahelyi, Henrietta Papp and Catherine O. Hebb. Their work appears in journals such as Journal of Neurochemistry, Brain Research, Neuroscience, Nature and Acta Histochemica.
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.