Nicholas Nagykery
- Physiology top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Reproductive Medicine top 5%
- Pharmacology top 10%
- Co-authors
- Changiz GeulaChuang-Kuo WuAlexander NicholasDavid PépinPatricia K. DonahoeHatice D. SaatciogluMotohiro KanoChuang‐Kuo Wu
- Topics
- Reproductive Biology and Fertility (5 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)Memory and Neural Mechanisms (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Comparative Neurology
- Partner nations
- United StatesAustralia
In The Last Decade
Nicholas Nagykery
16 papers receiving 767 citations
Peers
Comparison fields: 5 of 82
- Physiology 258
- Molecular Biology 232
- Public Health, Environmental and Occupational Health 216
- Reproductive Medicine 173
- Pharmacology 159
Countries citing papers authored by Nicholas Nagykery
This map shows the geographic impact of Nicholas Nagykery'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 Nicholas Nagykery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Nagykery more than expected).
Fields of papers citing papers by Nicholas Nagykery
This network shows the impact of papers produced by Nicholas Nagykery. 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 Nicholas Nagykery. The network helps show where Nicholas Nagykery may publish in the future.
Co-authorship network of co-authors of Nicholas Nagykery
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Nagykery. A scholar is included among the top collaborators of Nicholas Nagykery 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 Nicholas Nagykery. Nicholas Nagykery 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 | 0 | |
| 3 | 0 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 32 | |
| 7 | 47 | |
| 8 | 29 | |
| 9 | 15 | |
| 10 | 150 | |
| 11 | 2 | |
| 12 | 156 | |
| 13 | 16 | |
| 14 | 70 | |
| 15 | 32 | |
| 16 | 30 | |
| 17 | 78 | |
| 18 | 94 | |
| 19 | 4 |
About Nicholas Nagykery
Nicholas Nagykery is a scholar working on Reproductive Medicine, Pharmacology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 775 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Reproductive Medicine (173 citations), Neurology (105 citations) and Physiology (258 citations). Nicholas Nagykery has collaborated with scholars based in United States and Australia. Frequent co-authors include Changiz Geula, Chuang-Kuo Wu, Alexander Nicholas, David Pépin, Patricia K. Donahoe, Hatice D. Saatcioglu, Motohiro Kano, Chuang‐Kuo Wu, Dan Wang and Guangping Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Comparative Neurology.
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.