Tom Ceska
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Structural Biology top 10%
Papers in
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- Receptor Mechanisms and Signaling 3
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Florence Lebon (3 shared papers)Alastair D. G. Lawson (5 shared papers)David McMillan (4 shared papers)Bingfa Sun (2 shared papers)Tong Sun Kobilka (2 shared papers)Brian K. Kobilka (2 shared papers)Martyn Wood (2 shared papers)Zara A. Sands (2 shared papers)
- Journals
- Nature Communications (4 papers)Scientific Reports (1 paper)ACS Medicinal Chemistry Letters (1 paper)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)mAbs (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Tom Ceska
16 papers receiving 658 citations
Peers
Comparison fields: 5 of 88
- Physiology 58
- Structural Biology 16
- Cellular and Molecular Neuroscience 137
- Immunology and Allergy 40
- Neurology 94
Countries citing papers authored by Tom Ceska
This map shows the geographic impact of Tom Ceska'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 Tom Ceska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Ceska more than expected).
Fields of papers citing papers by Tom Ceska
This network shows the impact of papers produced by Tom Ceska. 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 Tom Ceska. The network helps show where Tom Ceska may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Ceska, 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 | 2013 | 102 | |
| 2 | 2017 | 101 | |
| 3 | 2019 | 81 | |
| 4 | 2021 | 63 | |
| 5 | 2017 | 62 | |
| 6 | 2016 | 45 | |
| 7 | 2021 | 37 | |
| 8 | 2019 | 32 | |
| 9 | 2016 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2008 | 4 |
About Tom Ceska
Tom Ceska is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Cellular and Molecular Neuroscience and Structural Biology, having authored 16 papers that have together received 669 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (2 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Immune Response and Inflammation (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Physiology (58 citations), Structural Biology (16 citations), Cellular and Molecular Neuroscience (137 citations), Immunology and Allergy (40 citations) and Neurology (94 citations). Tom Ceska has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Florence Lebon, Alastair D. G. Lawson, David McMillan, Bingfa Sun, Tong Sun Kobilka, Brian K. Kobilka, Martyn Wood, Zara A. Sands, Tim Bourne and Bruce Carrington. Their work appears in journals such as Nature Communications, Scientific Reports, ACS Medicinal Chemistry Letters, Naunyn-Schmiedeberg s Archives of Pharmacology and mAbs.
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.