Gyula Lázár
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Endocrine and Autonomic Systems top 5%
- Neurology top 5%
- Co-authors
- Pál Péter TóthJerome L. MaderdrutGyörgy SzékelyIstván MerchenthalerHajnalka ÁbrahámTamás KoziczMilena KemaliAttila Losonczy
- Topics
- Retinal Development and Disorders (15 papers)Vestibular and auditory disorders (10 papers)Neuroscience and Neuropharmacology Research (9 papers)
- Cited by
- Cellular and Molecular NeuroscienceDevelopmental NeuroscienceEndocrine and Autonomic Systems
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Gyula Lázár
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 753
- Molecular Biology 544
- Cognitive Neuroscience 296
- Endocrine and Autonomic Systems 206
- Neurology 195
Countries citing papers authored by Gyula Lázár
This map shows the geographic impact of Gyula Lázár'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 Gyula Lázár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gyula Lázár more than expected).
Fields of papers citing papers by Gyula Lázár
This network shows the impact of papers produced by Gyula Lázár. 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 Gyula Lázár. The network helps show where Gyula Lázár may publish in the future.
Co-authorship network of co-authors of Gyula Lázár
This figure shows the co-authorship network connecting the top 25 collaborators of Gyula Lázár. A scholar is included among the top collaborators of Gyula Lázár 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 Gyula Lázár. Gyula Lázár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 26 | |
| 3 | 38 | |
| 4 | 39 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 53 | |
| 9 | 16 | |
| 10 | 5 | |
| 11 | 23 | |
| 12 | 9 | |
| 13 | 11 | |
| 14 | 66 | |
| 15 | 19 | |
| 16 | 60 | |
| 17 | 75 | |
| 18 | 10 | |
| 19 | The optokinetic head nystagmogram of the frog. | 5 |
| 20 | An investigation into the hypothesis of shifting neuronal relationships during development. | 31 |
About Gyula Lázár
Gyula Lázár is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinal Development and Disorders (15 papers), Vestibular and auditory disorders (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (753 citations), Developmental Neuroscience (142 citations) and Endocrine and Autonomic Systems (206 citations). Gyula Lázár has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include Pál Péter Tóth, Jerome L. Maderdrut, György Székely, István Merchenthaler, Hajnalka Ábrahám, Tamás Kozicz, Milena Kemali, Attila Losonczy, Zsolt Liposits and Scott Trasti. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research and 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.