Dominika Piłat
- Physiology top 10%
- Pain Mechanisms and Treatments 7
- Alzheimer's disease research and treatments 4
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds 2
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Neuropeptides and Animal Physiology 2
- Immunology and Allergy top 10%
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- Protease and Inhibitor Mechanisms 3
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- S100 Proteins and Annexins 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Joanna MikaEwelina RojewskaWioletta MakuchAnna PiotrowskaSara A. CourtneidgeRitu DhandMartine F. RousselAgnieszka M. Jurga
- Cited by
- PhysiologyPharmacologyNeurology
- Partner nations
- PolandFranceUnited States
In The Last Decade
Dominika Piłat
14 papers receiving 667 citations
Peers
Comparison fields: 5 of 76
- Physiology 329
- Pharmacology 88
- Neurology 76
- Cellular and Molecular Neuroscience 157
- Immunology and Allergy 44
Countries citing papers authored by Dominika Piłat
This map shows the geographic impact of Dominika Piłat'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 Dominika Piłat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominika Piłat more than expected).
Fields of papers citing papers by Dominika Piłat
This network shows the impact of papers produced by Dominika Piłat. 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 Dominika Piłat. The network helps show where Dominika Piłat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dominika Piłat, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 16 | |
| 4 | 2021 | 10 | |
| 5 | 2019 | 54 | |
| 6 | 2018 | 13 | |
| 7 | 2016 | 61 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 87 | |
| 10 | 2015 | 42 | |
| 11 | 2015 | 36 | |
| 12 | 2015 | 85 | |
| 13 | The role of interleukin-1 family of cytokines in nociceptive transmission | 2014 | 2 |
| 14 | 2014 | 52 | |
| 15 | 1993 | 213 |
About Dominika Piłat
Dominika Piłat is a scholar working on Physiology, Cancer Research and Complementary and alternative medicine, having authored 15 papers that have together received 673 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Alzheimer's disease research and treatments (4 papers), Protease and Inhibitor Mechanisms (3 papers), Pharmacological Effects of Natural Compounds (2 papers), Neuropeptides and Animal Physiology (2 papers), S100 Proteins and Annexins (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Physiology (329 citations), Pharmacology (88 citations) and Neurology (76 citations). Dominika Piłat has collaborated with scholars based in Poland, France and United States. Frequent co-authors include Joanna Mika, Ewelina Rojewska, Wioletta Makuch, Anna Piotrowska, Sara A. Courtneidge, Ritu Dhand, Martine F. Roussel, Agnieszka M. Jurga, M.D. Waterfield and Barbara Przewłocka. Their work appears in journals such as Neural Plasticity, Pharmacological Reports, The EMBO Journal, Frontiers in Aging Neuroscience and European Journal of Pharmacology.
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.