Katarzyna Popiołek-Barczyk
- Physiology top 2%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 2%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Joanna MikaEwelina RojewskaBarbara PrzewłockaMagdalena ŻychowskaWioletta MakuchAnna PiotrowskaKatarzyna StarowiczAgnieszka M. Jurga
- Topics
- Pain Mechanisms and Treatments (18 papers)Neuropeptides and Animal Physiology (9 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)
In The Last Decade
Katarzyna Popiołek-Barczyk
28 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Physiology 929
- Cellular and Molecular Neuroscience 529
- Neurology 386
- Molecular Biology 329
- Neurology 270
Countries citing papers authored by Katarzyna Popiołek-Barczyk
This map shows the geographic impact of Katarzyna Popiołek-Barczyk'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 Katarzyna Popiołek-Barczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katarzyna Popiołek-Barczyk more than expected).
Fields of papers citing papers by Katarzyna Popiołek-Barczyk
This network shows the impact of papers produced by Katarzyna Popiołek-Barczyk. 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 Katarzyna Popiołek-Barczyk. The network helps show where Katarzyna Popiołek-Barczyk may publish in the future.
Co-authorship network of co-authors of Katarzyna Popiołek-Barczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Popiołek-Barczyk. A scholar is included among the top collaborators of Katarzyna Popiołek-Barczyk 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 Katarzyna Popiołek-Barczyk. Katarzyna Popiołek-Barczyk 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 | 2 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 30 | |
| 6 | 40 | |
| 7 | 17 | |
| 8 | 53 | |
| 9 | 36 | |
| 10 | 13 | |
| 11 | 53 | |
| 12 | 28 | |
| 13 | 152 | |
| 14 | 45 | |
| 15 | 87 | |
| 16 | 111 | |
| 17 | 70 | |
| 18 | 52 | |
| 19 | 85 | |
| 20 | Importance of glial activation in neuropathic painbreakdown → | 382 |
About Katarzyna Popiołek-Barczyk
Katarzyna Popiołek-Barczyk is a scholar working on Neurology, Pharmacology and Biological Psychiatry, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Biological Psychiatry (128 citations), Neurology (386 citations) and Physiology (929 citations). Katarzyna Popiołek-Barczyk has collaborated with scholars based in Poland, Italy and Germany. Frequent co-authors include Joanna Mika, Ewelina Rojewska, Barbara Przewłocka, Magdalena Żychowska, Wioletta Makuch, Anna Piotrowska, Katarzyna Starowicz, Agnieszka M. Jurga, Dominika Piłat and Katarzyna Ciapała. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.