Tomasz J. Prószyński
- Molecular Biology top 10%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Surgery
- Co-authors
- Kai SimonsRobin W. KlemmMichel BagnatJoshua R. SanesMichał A. SurmaAndrej ShevchenkoJúlio L. SampaioChrister S. Ejsing
- Topics
- Muscle Physiology and Disorders (12 papers)Cellular transport and secretion (8 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Cited by
- Cell BiologyMolecular BiologyAging
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- PolandUnited StatesGermany
In The Last Decade
Tomasz J. Prószyński
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 872
- Cell Biology 514
- Cellular and Molecular Neuroscience 164
- Physiology 132
- Surgery 69
Countries citing papers authored by Tomasz J. Prószyński
This map shows the geographic impact of Tomasz J. Prószyński'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 Tomasz J. Prószyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz J. Prószyński more than expected).
Fields of papers citing papers by Tomasz J. Prószyński
This network shows the impact of papers produced by Tomasz J. Prószyński. 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 Tomasz J. Prószyński. The network helps show where Tomasz J. Prószyński may publish in the future.
Co-authorship network of co-authors of Tomasz J. Prószyński
This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz J. Prószyński. A scholar is included among the top collaborators of Tomasz J. Prószyński 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 Tomasz J. Prószyński. Tomasz J. Prószyński 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 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 33 | |
| 6 | 15 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 38 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 42 | |
| 14 | 17 | |
| 15 | 316 | |
| 16 | 24 | |
| 17 | 57 | |
| 18 | 117 | |
| 19 | 63 | |
| 20 | 9 |
About Tomasz J. Prószyński
Tomasz J. Prószyński is a scholar working on Cell Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Cellular transport and secretion (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cell Biology (514 citations), Molecular Biology (872 citations) and Aging (19 citations). Tomasz J. Prószyński has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Kai Simons, Robin W. Klemm, Michel Bagnat, Joshua R. Sanes, Michał A. Surma, Andrej Shevchenko, Júlio L. Sampaio, Christer S. Ejsing, Hermann-Josef Kaiser and Charles Ferguson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.