Lajos László
Impact in
- Neurology top 1%
- Neurological diseases and metabolism
- Parkinson's Disease Mechanisms and Treatments
- Developmental Neuroscience top 5%
Papers in
-
- Prion Diseases and Protein Misfolding 22
- Ubiquitin and proteasome pathways 11
- Neurology 20
- Neurological diseases and metabolism 19
- Co-authors
- R. John Mayer (21 shared papers)Michael Landon (15 shared papers)James Lowe (13 shared papers)Gábor G. Kovács (18 shared papers)Kinga Molnár (17 shared papers)Herbert Budka (11 shared papers)James Hope (5 shared papers)F J Doherty (6 shared papers)
- Journals
- Neurobiology of Disease (5 papers)The Journal of Pathology (4 papers)Acta Neuropathologica (4 papers)Experimental Cell Research (4 papers)FEBS Letters (4 papers)
- Partner nations
- HungaryUnited KingdomAustria
In The Last Decade
Lajos László
73 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 103
- Neurology 694
- Developmental Neuroscience 108
- Neurology 376
- Molecular Biology 1.8k
- Physiology 606
Countries citing papers authored by Lajos László
This map shows the geographic impact of Lajos László'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 Lajos László with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lajos László more than expected).
Fields of papers citing papers by Lajos László
This network shows the impact of papers produced by Lajos László. 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 Lajos László. The network helps show where Lajos László may publish in the future.
Co-authors
The 25 scholars most cited alongside Lajos László, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 268 | |
| 2 | 1997 | 242 | |
| 3 | 2017 | 175 | |
| 4 | 1992 | 158 | |
| 5 | 1995 | 143 | |
| 6 | 2004 | 135 | |
| 7 | 1991 | 125 | |
| 8 | 2014 | 108 | |
| 9 | 2002 | 95 | |
| 10 | 2010 | 91 | |
| 11 | 2017 | 90 | |
| 12 | 1989 | 87 | |
| 13 | 1990 | 80 | |
| 14 | 2011 | 63 | |
| 15 | 2007 | 44 | |
| 16 | 1992 | 42 | |
| 17 | Receptor-like properties of the 26 kDa transmembrane form of TNF. | 2002 | 42 |
| 18 | 2000 | 40 | |
| 19 | 1999 | 40 | |
| 20 | 1996 | 40 |
About Lajos László
Lajos László is a scholar working on Molecular Biology, Neurology, Epidemiology, Cell Biology and Physiology, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (22 papers), Neurological diseases and metabolism (19 papers), Autophagy in Disease and Therapy (15 papers), Ubiquitin and proteasome pathways (11 papers), Cellular transport and secretion (9 papers), Alzheimer's disease research and treatments (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Trace Elements in Health (7 papers). The work is most often cited by research in Neurology (694 citations), Developmental Neuroscience (108 citations), Neurology (376 citations), Molecular Biology (1.8k citations) and Physiology (606 citations). Lajos László has collaborated with scholars based in Hungary, United Kingdom and Austria. Frequent co-authors include R. John Mayer, Michael Landon, James Lowe, Gábor G. Kovács, Kinga Molnár, Herbert Budka, James Hope, F J Doherty, Puzheng Zhang and Claudio Monetti. Their work appears in journals such as Neurobiology of Disease, The Journal of Pathology, Acta Neuropathologica, Experimental Cell Research and FEBS Letters.
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.