András Lakatos
- Cellular and Molecular Neuroscience top 2%
- Developmental Neuroscience top 0.5%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Neurology top 5%
- Co-authors
- Robin J.M. FranklinSusan C. BarnettNick D. JefferyGeorge M. GibbonsOle PaulsenSusanna B. MierauGiulia E. TyzackTimothy P.H. Sit
- Topics
- Nerve injury and regeneration (11 papers)Neurogenesis and neuroplasticity mechanisms (10 papers)Amyotrophic Lateral Sclerosis Research (6 papers)
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
András Lakatos
33 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 1.0k
- Developmental Neuroscience 757
- Molecular Biology 684
- Pathology and Forensic Medicine 338
- Neurology 285
Countries citing papers authored by András Lakatos
This map shows the geographic impact of András Lakatos'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 András Lakatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites András Lakatos more than expected).
Fields of papers citing papers by András Lakatos
This network shows the impact of papers produced by András Lakatos. 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 András Lakatos. The network helps show where András Lakatos may publish in the future.
Co-authorship network of co-authors of András Lakatos
This figure shows the co-authorship network connecting the top 25 collaborators of András Lakatos. A scholar is included among the top collaborators of András Lakatos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with András Lakatos. András Lakatos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 115 | |
| 7 | Cerebral organoids at the air–liquid interface generate diverse nerve tracts with functional outputbreakdown → | 400 |
| 8 | 89 | |
| 9 | 97 | |
| 10 | 3 | |
| 11 | 127 | |
| 12 | 13 | |
| 13 | 80 | |
| 14 | 8 | |
| 15 | 34 | |
| 16 | 164 | |
| 17 | 72 | |
| 18 | 21 | |
| 19 | 24 | |
| 20 | 78 |
About András Lakatos
András Lakatos is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nerve injury and regeneration (11 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Amyotrophic Lateral Sclerosis Research (6 papers). The work is most often cited by research in Developmental Neuroscience (757 citations), Cellular and Molecular Neuroscience (1.0k citations) and Neurology (285 citations). András Lakatos has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Robin J.M. Franklin, Susan C. Barnett, Nick D. Jeffery, George M. Gibbons, Ole Paulsen, Susanna B. Mierau, Giulia E. Tyzack, Timothy P.H. Sit, Magdalena Sutcliffe and Emmanuel Derivery. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.