G. Maksay
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Spectroscopy
- Physiology
- Organic Chemistry
- Co-authors
- Maharaj K. TickuMiklós SimonyiHeinrich BetzBodo LaubeTamás Bı́róLászló FodorLászló ÖtvösJulianna Kardos
- Topics
- Neuroscience and Neuropharmacology Research (15 papers)Ion channel regulation and function (5 papers)Receptor Mechanisms and Signaling (5 papers)
- Journals
- Journal of NeurochemistryBritish Journal of PharmacologyCellular and Molecular Life Sciences
- Partner nations
- HungaryUnited StatesIndia
In The Last Decade
G. Maksay
20 papers receiving 381 citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 291
- Molecular Biology 269
- Spectroscopy 37
- Physiology 34
- Organic Chemistry 33
Countries citing papers authored by G. Maksay
This map shows the geographic impact of G. Maksay'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 G. Maksay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Maksay more than expected).
Fields of papers citing papers by G. Maksay
This network shows the impact of papers produced by G. Maksay. 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 G. Maksay. The network helps show where G. Maksay may publish in the future.
Co-authorship network of co-authors of G. Maksay
This figure shows the co-authorship network connecting the top 25 collaborators of G. Maksay. A scholar is included among the top collaborators of G. Maksay 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 G. Maksay. G. Maksay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 19 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 74 | |
| 7 | 8 | |
| 8 | 22 | |
| 9 | 40 | |
| 10 | Inhibition of high-affinity synaptosomal uptake of gamma-aminobutyric acid by a bicyclo-heptane derivative. | 8 |
| 11 | 9 | |
| 12 | 47 | |
| 13 | 25 | |
| 14 | 82 | |
| 15 | 7 | |
| 16 | Lorazepam and oxazepam esters. Hydrophobicity, hydrolysis rates and brain appearance. | 1 |
| 17 | Specific binding of racemic oxazepam esters to rat brain synaptosomes and the influence of bioactivation by esterases. | 2 |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 10 |
About G. Maksay
G. Maksay is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Spectroscopy, having authored 20 papers that have together received 396 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Ion channel regulation and function (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (291 citations), Behavioral Neuroscience (23 citations) and Molecular Biology (269 citations). G. Maksay has collaborated with scholars based in Hungary, United States and India. Frequent co-authors include Maharaj K. Ticku, Miklós Simonyi, Heinrich Betz, Bodo Laube, Tamás Bı́ró, László Fodor, László Ötvös, Julianna Kardos, András Mihály Boros and Ilona Kovács. Their work appears in journals such as Journal of Neurochemistry, British Journal of Pharmacology and Cellular and Molecular Life 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.