Gergely Zachár
- Social Psychology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Developmental Biology top 2%
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
- Co-authors
- András CsillagToshiya MatsushimaEi‐Ichi IzawaÁgota ÁdámShin YanagiharaTamás SzékelyÉva SzökőTamás Tábi
- Topics
- Animal Vocal Communication and Behavior (14 papers)Animal Behavior and Reproduction (9 papers)Primate Behavior and Ecology (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Comparative Neurology
- Partner nations
- HungaryUnited KingdomUnited States
In The Last Decade
Gergely Zachár
39 papers receiving 520 citations
Peers
Comparison fields: 5 of 97
- Social Psychology 175
- Ecology, Evolution, Behavior and Systematics 128
- Developmental Biology 123
- Cognitive Neuroscience 92
- Cellular and Molecular Neuroscience 85
Countries citing papers authored by Gergely Zachár
This map shows the geographic impact of Gergely Zachár'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 Gergely Zachár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gergely Zachár more than expected).
Fields of papers citing papers by Gergely Zachár
This network shows the impact of papers produced by Gergely Zachár. 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 Gergely Zachár. The network helps show where Gergely Zachár may publish in the future.
Co-authorship network of co-authors of Gergely Zachár
This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Zachár. A scholar is included among the top collaborators of Gergely Zachár 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 Gergely Zachár. Gergely Zachár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 13 | |
| 6 | 17 | |
| 7 | 8 | |
| 8 | Distribution of vasotocin- and vasoactive intestinal peptide-like immunoreactivity in the brain of penduline tit | 1 |
| 9 | 12 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 25 | |
| 14 | 9 | |
| 15 | 14 | |
| 16 | 25 | |
| 17 | 17 | |
| 18 | 11 | |
| 19 | 24 | |
| 20 | 23 |
About Gergely Zachár
Gergely Zachár is a scholar working on Developmental Biology, Toxicology and Endocrine and Autonomic Systems, having authored 42 papers that have together received 523 indexed citations. Recurring topics across this work include Animal Vocal Communication and Behavior (14 papers), Animal Behavior and Reproduction (9 papers) and Primate Behavior and Ecology (9 papers). The work is most often cited by research in Developmental Biology (123 citations), Social Psychology (175 citations) and Ecology, Evolution, Behavior and Systematics (128 citations). Gergely Zachár has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include András Csillag, Toshiya Matsushima, Ei‐Ichi Izawa, Ágota Ádám, Shin Yanagihara, Tamás Székely, Éva Szökő, Tamás Tábi, Catherine M. Montagnese and Szilvia Mezey. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience 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.