F. Deák
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Proteoglycans and glycosaminoglycans research
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
-
- Nuclear physics research studies 37
- Astronomical and nuclear sciences 13
- Co-authors
- Ege T. Kavalali (8 shared papers)Thomas C. Südhof (7 shared papers)William E. Sonntag (8 shared papers)Ibolya Kiss (27 shared papers)Xinran Liu (4 shared papers)Yıldırım Sara (2 shared papers)Susanne Schoch (2 shared papers)Anna Csiszár (9 shared papers)
- Journals
- Matrix Biology (7 papers)The Journals of Gerontology Series A (7 papers)GeroScience (6 papers)Nuclear Physics A (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- HungaryUnited StatesJapan
In The Last Decade
F. Deák
128 papers receiving 5.5k citations
F. Deák's Hit Papers
Peers
Comparison fields: 5 of 140
- Cell Biology 1.5k
- Immunology and Allergy 413
- Cellular and Molecular Neuroscience 1.2k
- Neurology 439
- Nuclear and High Energy Physics 687
Countries citing papers authored by F. Deák
This map shows the geographic impact of F. Deák'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 F. Deák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Deák more than expected).
Fields of papers citing papers by F. Deák
This network shows the impact of papers produced by F. Deák. 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 F. Deák. The network helps show where F. Deák may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Deák, 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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SNARE Function Analyzed in Synaptobrevin/VAMP Knockout Mice Hit paper breakdown → | 2001 | 525 |
| 2 | 2005 | 317 | |
| 3 | 2004 | 212 | |
| 4 | 2013 | 207 | |
| 5 | 2014 | 172 | |
| 6 | 1993 | 150 | |
| 7 | 1993 | 147 | |
| 8 | 1999 | 143 | |
| 9 | 2017 | 141 | |
| 10 | 2013 | 138 | |
| 11 | 2009 | 133 | |
| 12 | 2012 | 131 | |
| 13 | 2006 | 123 | |
| 14 | 2015 | 121 | |
| 15 | 2013 | 120 | |
| 16 | 2000 | 116 | |
| 17 | 2007 | 104 | |
| 18 | 1989 | 99 | |
| 19 | 1987 | 96 | |
| 20 | 2006 | 95 |
About F. Deák
F. Deák is a scholar working on Molecular Biology, Nuclear and High Energy Physics, Radiation, Cell Biology and Cellular and Molecular Neuroscience, having authored 133 papers that have together received 5.5k indexed citations. Recurring topics across this work include Nuclear physics research studies (37 papers), Nuclear Physics and Applications (26 papers), Cell Adhesion Molecules Research (15 papers), Cellular transport and secretion (14 papers), Osteoarthritis Treatment and Mechanisms (13 papers), Astronomical and nuclear sciences (13 papers), Nuclear reactor physics and engineering (13 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Cell Biology (1.5k citations), Immunology and Allergy (413 citations), Cellular and Molecular Neuroscience (1.2k citations), Neurology (439 citations) and Nuclear and High Energy Physics (687 citations). F. Deák has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Ege T. Kavalali, Thomas C. Südhof, William E. Sonntag, Ibolya Kiss, Xinran Liu, Yıldırım Sara, Susanne Schoch, Anna Csiszár, Zoltán Ungvári and Marina G. Mozhayeva. Their work appears in journals such as Matrix Biology, The Journals of Gerontology Series A, GeroScience, Nuclear Physics A and Proceedings of the National Academy of Sciences.
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.