Alexander E. Kalyuzhny
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Physiology top 10%
- Endocrine and Autonomic Systems top 5%
- Immunology
- Co-authors
- Martin W. WessendorfPhilip S. PortogheseR. Alberto TravagliKirsteen N. BrowningAjay YekkiralaWei WuUlf ArvidssonMary M. Lunzer
- Topics
- Neuropeptides and Animal Physiology (10 papers)Immune Response and Inflammation (8 papers)Receptor Mechanisms and Signaling (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceThe Journal of Comparative Neurology
- Partner nations
- United StatesPoland
In The Last Decade
Alexander E. Kalyuzhny
43 papers receiving 904 citations
Peers
Comparison fields: 5 of 96
- Cellular and Molecular Neuroscience 472
- Molecular Biology 398
- Physiology 266
- Endocrine and Autonomic Systems 109
- Immunology 104
Countries citing papers authored by Alexander E. Kalyuzhny
This map shows the geographic impact of Alexander E. Kalyuzhny'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 Alexander E. Kalyuzhny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander E. Kalyuzhny more than expected).
Fields of papers citing papers by Alexander E. Kalyuzhny
This network shows the impact of papers produced by Alexander E. Kalyuzhny. 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 Alexander E. Kalyuzhny. The network helps show where Alexander E. Kalyuzhny may publish in the future.
Co-authorship network of co-authors of Alexander E. Kalyuzhny
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander E. Kalyuzhny. A scholar is included among the top collaborators of Alexander E. Kalyuzhny 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 Alexander E. Kalyuzhny. Alexander E. Kalyuzhny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 7 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 41 | |
| 20 | 53 |
About Alexander E. Kalyuzhny
Alexander E. Kalyuzhny is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Immunology, having authored 46 papers that have together received 916 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (10 papers), Immune Response and Inflammation (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (472 citations), Endocrine and Autonomic Systems (109 citations) and Physiology (266 citations). Alexander E. Kalyuzhny has collaborated with scholars based in United States and Poland. Frequent co-authors include Martin W. Wessendorf, Philip S. Portoghese, R. Alberto Travagli, Kirsteen N. Browning, Ajay Yekkirala, Wei Wu, Ulf Arvidsson, Mary M. Lunzer, Jeromy Dooyema and Morgan Le Naour. 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.