Zsanett Bahor
- Small Animals top 5%
- Statistics, Probability and Uncertainty top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Physiology
- Co-authors
- Malcolm MacleodEmily S. SenaGillian L. CurrieDavid W. HowellsH. M. VesterinenStylianos SerghiouKieren EganJing Liao
- Topics
- Meta-analysis and systematic reviews (6 papers)Animal testing and alternatives (6 papers)Antioxidant Activity and Oxidative Stress (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaPLoS BiologyJournal of Cerebral Blood Flow & Metabolism
- Partner nations
- United KingdomAustraliaNetherlands
In The Last Decade
Zsanett Bahor
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 100
- Small Animals 111
- Statistics, Probability and Uncertainty 102
- Molecular Biology 77
- Public Health, Environmental and Occupational Health 62
- Physiology 45
Countries citing papers authored by Zsanett Bahor
This map shows the geographic impact of Zsanett Bahor'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 Zsanett Bahor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsanett Bahor more than expected).
Fields of papers citing papers by Zsanett Bahor
This network shows the impact of papers produced by Zsanett Bahor. 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 Zsanett Bahor. The network helps show where Zsanett Bahor may publish in the future.
Co-authorship network of co-authors of Zsanett Bahor
This figure shows the co-authorship network connecting the top 25 collaborators of Zsanett Bahor. A scholar is included among the top collaborators of Zsanett Bahor 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 Zsanett Bahor. Zsanett Bahor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 29 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 40 | |
| 6 | 1 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | Improving our understanding of the in vivo modelling of psychotic disorders: a systematic review and meta-analysis | 0 |
| 10 | 19 | |
| 11 | 8 | |
| 12 | 36 | |
| 13 | 239 |
About Zsanett Bahor
Zsanett Bahor is a scholar working on Statistics, Probability and Uncertainty, Small Animals and History and Philosophy of Science, having authored 13 papers that have together received 408 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Animal testing and alternatives (6 papers) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Small Animals (111 citations), Statistics, Probability and Uncertainty (102 citations) and Behavioral Neuroscience (22 citations). Zsanett Bahor has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Malcolm Macleod, Emily S. Sena, Gillian L. Currie, David W. Howells, H. M. Vesterinen, Stylianos Serghiou, Kieren Egan, Jing Liao, Andrew Thomson and Aikaterini Kyriakopoulou. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS Biology and Journal of Cerebral Blood Flow & Metabolism.
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.