Katalin Gallatz
- Pharmacology top 2%
- Surgery top 10%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Miklós PalkovitsCatherine Llorens‐CortésZsolt LenkeiIvana ŠkultétyováAnnabelle Réaux‐Le GoazigoPierre CorvolSaı̈d El MessariNadia De Mota
- Topics
- Neuropeptides and Animal Physiology (8 papers)Neuroscience and Neuropharmacology Research (7 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
Katalin Gallatz
30 papers receiving 947 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 511
- Surgery 428
- Cellular and Molecular Neuroscience 410
- Endocrinology, Diabetes and Metabolism 168
- Endocrine and Autonomic Systems 156
Countries citing papers authored by Katalin Gallatz
This map shows the geographic impact of Katalin Gallatz'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 Katalin Gallatz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Gallatz more than expected).
Fields of papers citing papers by Katalin Gallatz
This network shows the impact of papers produced by Katalin Gallatz. 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 Katalin Gallatz. The network helps show where Katalin Gallatz may publish in the future.
Co-authorship network of co-authors of Katalin Gallatz
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Gallatz. A scholar is included among the top collaborators of Katalin Gallatz 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 Katalin Gallatz. Katalin Gallatz 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 | 39 | |
| 3 | 10 | |
| 4 | 47 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 11 | |
| 9 | 181 | |
| 10 | 62 | |
| 11 | 320 | |
| 12 | Non-neuronal dopamine in the gastro-intestinal system Sites of production and possible targets | 1 |
| 13 | 56 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | Double immunohistochemical study on paraventricular efferents to autonomic centers. | 1 |
| 17 | 4 | |
| 18 | 22 | |
| 19 | 16 | |
| 20 | 27 |
About Katalin Gallatz
Katalin Gallatz is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 30 papers that have together received 956 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers). The work is most often cited by research in Pharmacology (511 citations), Endocrine and Autonomic Systems (156 citations) and Cellular and Molecular Neuroscience (410 citations). Katalin Gallatz has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Miklós Palkovits, Catherine Llorens‐Cortés, Zsolt Lenkei, Ivana Škultétyová, Annabelle Réaux‐Le Goazigo, Pierre Corvol, Saı̈d El Messari, Nadia De Mota, Mariann Fodor and Nela Puškaš. 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.