Tomasz Uchański
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
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- Neuroscience and Neuropharmacology Research
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Receptor Mechanisms and Signaling 4
- Nicotinic Acetylcholine Receptors Study 3
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- T-cell and B-cell Immunology 4
- Co-authors
- Jan Steyaert (8 shared papers)Els Pardon (7 shared papers)Simonas Masiulis (3 shared papers)A.R. Aricescu (3 shared papers)Rooma Desai (2 shared papers)Jasenko Zivanov (2 shared papers)Tomas Malinauskas (2 shared papers)Duncan Laverty (2 shared papers)
- Journals
- Nature (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)Journal of Leukocyte Biology (1 paper)Cancers (1 paper)
- Partner nations
- BelgiumUnited StatesLuxembourg
In The Last Decade
Tomasz Uchański
14 papers receiving 1.0k citations
Tomasz Uchański's Hit Papers
Peers
Comparison fields: 5 of 88
- Structural Biology 71
- Cellular and Molecular Neuroscience 375
- Molecular Biology 725
- Radiology, Nuclear Medicine and Imaging 161
- Biological Psychiatry 17
Countries citing papers authored by Tomasz Uchański
This map shows the geographic impact of Tomasz Uchański'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 Uchański with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Uchański more than expected).
Fields of papers citing papers by Tomasz Uchański
This network shows the impact of papers produced by Tomasz Uchański. 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 Uchański. The network helps show where Tomasz Uchański may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomasz Uchański, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GABAA receptor signalling mechanisms revealed by structural pharmacology Hit paper breakdown → | 2018 | 415 |
| 2 | 2018 | 225 | |
| 3 | 2021 | 90 | |
| 4 | 2019 | 82 | |
| 5 | 2020 | 67 | |
| 6 | 2022 | 54 | |
| 7 | 2021 | 33 | |
| 8 | 2020 | 23 | |
| 9 | 2015 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 6 | |
| 13 | 2019 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 0 |
About Tomasz Uchański
Tomasz Uchański is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Oncology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chemokine receptors and signaling (4 papers), T-cell and B-cell Immunology (4 papers), Receptor Mechanisms and Signaling (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Structural Biology (71 citations), Cellular and Molecular Neuroscience (375 citations), Molecular Biology (725 citations), Radiology, Nuclear Medicine and Imaging (161 citations) and Biological Psychiatry (17 citations). Tomasz Uchański has collaborated with scholars based in Belgium, United States and Luxembourg. Frequent co-authors include Jan Steyaert, Els Pardon, Simonas Masiulis, A.R. Aricescu, Rooma Desai, Jasenko Zivanov, Tomas Malinauskas, Duncan Laverty, Keith W. Miller and Abhay Kotecha. Their work appears in journals such as Nature, Nature Communications, Nature Methods, Journal of Leukocyte Biology and Cancers.
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.