Istvan Szakall
- Cellular and Molecular Neuroscience top 5%
- Pharmacology top 5%
- Molecular Biology
- Physiology
- Cognitive Neuroscience
- Co-authors
- Csaba VadászBasalingappa L. HungundÁgota ÁdámBalapal S. BasavarajappaMariko SaitoMelinda OrosRéka TóthFrédéric Simonin
- Topics
- Neurotransmitter Receptor Influence on Behavior (5 papers)Genetic and phenotypic traits in livestock (2 papers)Receptor Mechanisms and Signaling (2 papers)
- Partner nations
- HungaryUnited StatesAustralia
In The Last Decade
Istvan Szakall
11 papers receiving 463 citations
Peers
Comparison fields: 5 of 49
- Cellular and Molecular Neuroscience 377
- Pharmacology 242
- Molecular Biology 150
- Physiology 57
- Cognitive Neuroscience 50
Countries citing papers authored by Istvan Szakall
This map shows the geographic impact of Istvan Szakall'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 Istvan Szakall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Istvan Szakall more than expected).
Fields of papers citing papers by Istvan Szakall
This network shows the impact of papers produced by Istvan Szakall. 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 Istvan Szakall. The network helps show where Istvan Szakall may publish in the future.
Co-authorship network of co-authors of Istvan Szakall
This figure shows the co-authorship network connecting the top 25 collaborators of Istvan Szakall. A scholar is included among the top collaborators of Istvan Szakall 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 Istvan Szakall. Istvan Szakall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 17 | |
| 3 | 92 | |
| 4 | 26 | |
| 5 | 23 | |
| 6 | 276 | |
| 7 | 1 | |
| 8 | Relationship of dietary fat and lysine level with body composition in broiler chickens. | 4 |
| 9 | 3 | |
| 10 | Body composition of mice of different body condition score and sex. | 4 |
| 11 | Influence of a deficient intake of high and low degradable protein on body composition, metabolic adaptation, production and reproductive performance in early lactation dairy cows. | 3 |
About Istvan Szakall
Istvan Szakall is a scholar working on Animal Science and Zoology, Toxicology and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 474 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Genetic and phenotypic traits in livestock (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (377 citations), Pharmacology (242 citations) and Behavioral Neuroscience (23 citations). Istvan Szakall has collaborated with scholars based in Hungary, United States and Australia. Frequent co-authors include Csaba Vadász, Basalingappa L. Hungund, Ágota Ádám, Balapal S. Basavarajappa, Mariko Saito, Melinda Oros, Réka Tóth, Frédéric Simonin, Ray Wang and Vinod Kumar. Their work appears in journals such as Journal of Neurochemistry, Alcoholism Clinical and Experimental Research and Genomics.
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.