Katalin Soós
Impact in
- Physiology top 2%
- Alzheimer's disease research and treatments
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
- Physiology 28
- Alzheimer's disease research and treatments 28
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- Supramolecular Self-Assembly in Materials 9
- Co-authors
- Botond Penke (29 shared papers)Zsolt Datki (8 shared papers)Tibor Harkany (4 shared papers)M. Zarándi (6 shared papers)Miklós Kellermayer (5 shared papers)Lívia Fülöp (9 shared papers)Árpád Karsai (3 shared papers)Paul G.M. Luiten (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Journal of Peptide Science (2 papers)Neurobiology of Disease (2 papers)Brain Research (2 papers)Toxicology (2 papers)
- Partner nations
- HungaryNetherlandsGermany
In The Last Decade
Katalin Soós
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Physiology 747
- Pharmacology 275
- Cellular and Molecular Neuroscience 290
- Neurology 118
- Biomaterials 172
Countries citing papers authored by Katalin Soós
This map shows the geographic impact of Katalin Soós'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 Katalin Soós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Soós more than expected).
Fields of papers citing papers by Katalin Soós
This network shows the impact of papers produced by Katalin Soós. 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 Katalin Soós. The network helps show where Katalin Soós may publish in the future.
Co-authors
The 25 scholars most cited alongside Katalin Soós, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 222 | |
| 2 | 2003 | 135 | |
| 3 | 2007 | 98 | |
| 4 | 1998 | 89 | |
| 5 | 2004 | 63 | |
| 6 | 1995 | 58 | |
| 7 | 1995 | 51 | |
| 8 | 2004 | 51 | |
| 9 | 2006 | 43 | |
| 10 | 2003 | 41 | |
| 11 | 1999 | 38 | |
| 12 | 2009 | 37 | |
| 13 | 2004 | 36 | |
| 14 | 2007 | 32 | |
| 15 | 2005 | 21 | |
| 16 | 1994 | 19 | |
| 17 | 2000 | 18 | |
| 18 | 2008 | 17 | |
| 19 | 2008 | 15 | |
| 20 | 1999 | 14 |
About Katalin Soós
Katalin Soós is a scholar working on Physiology, Biomaterials, Molecular Biology, Computational Theory and Mathematics and Pharmacology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Supramolecular Self-Assembly in Materials (9 papers), Computational Drug Discovery Methods (8 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Protein Structure and Dynamics (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Physiology (747 citations), Pharmacology (275 citations), Cellular and Molecular Neuroscience (290 citations), Neurology (118 citations) and Biomaterials (172 citations). Katalin Soós has collaborated with scholars based in Hungary, Netherlands and Germany. Frequent co-authors include Botond Penke, Zsolt Datki, Tibor Harkany, M. Zarándi, Miklós Kellermayer, Lívia Fülöp, Árpád Karsai, Paul G.M. Luiten, Dénes Zádori and Károly Gulya. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Peptide Science, Neurobiology of Disease, Brain Research and Toxicology.
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.