Piotr Walczak
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 37
- Genetics top 0.5%
- Mesenchymal stem cell research 35
- Biomaterials top 0.5%
- Biophysics top 0.5%
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 16
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- Advanced MRI Techniques and Applications 26
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- Lanthanide and Transition Metal Complexes 19
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- Tissue Engineering and Regenerative Medicine 17
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- 3D Printing in Biomedical Research 17
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- Pluripotent Stem Cells Research 17
- Co-authors
- Jeff W. M. BulteMirosław JanowskiAssaf A. GiladDorota KedziorekPeter C.M. van ZijlMichael T. McMahonBarbara ŁukomskaYajie Liang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (2 papers)Physical Review Letters (2 papers)
- Partner nations
- United StatesPolandChina
In The Last Decade
Piotr Walczak
189 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 152
- Developmental Neuroscience 831
- Genetics 1.7k
- Biomaterials 1.4k
- Biophysics 452
- Neurology 642
Countries citing papers authored by Piotr Walczak
This map shows the geographic impact of Piotr Walczak'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 Piotr Walczak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Walczak more than expected).
Fields of papers citing papers by Piotr Walczak
This network shows the impact of papers produced by Piotr Walczak. 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 Piotr Walczak. The network helps show where Piotr Walczak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Piotr Walczak, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 37 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 35 | |
| 11 | 2019 | 2 | |
| 12 | 2017 | 35 | |
| 13 | 2016 | 76 | |
| 14 | 2015 | 17 | |
| 15 | 2015 | 27 | |
| 16 | 2010 | 9 | |
| 17 | 2010 | 13 | |
| 18 | 2009 | 68 | |
| 19 | Abstract 1049: Noninvasive Detection of Macrophage-dense Atherosclerotic Plaque in Hyperlipidemic Rabbits using ‘Positive Contrast’ Magnetic Resonance Imaging. | 2007 | 1 |
| 20 | 2007 | 30 |
About Piotr Walczak
Piotr Walczak is a scholar working on Developmental Neuroscience, Genetics and Neurology, having authored 197 papers that have together received 7.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (37 papers), Mesenchymal stem cell research (35 papers), Advanced MRI Techniques and Applications (26 papers), Lanthanide and Transition Metal Complexes (19 papers), Tissue Engineering and Regenerative Medicine (17 papers), 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (17 papers) and Neuroinflammation and Neurodegeneration Mechanisms (16 papers). The work is most often cited by research in Developmental Neuroscience (831 citations), Genetics (1.7k citations) and Biomaterials (1.4k citations). Piotr Walczak has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Jeff W. M. Bulte, Mirosław Janowski, Assaf A. Gilad, Dorota Kedziorek, Peter C.M. van Zijl, Michael T. McMahon, Barbara Łukomska, Yajie Liang, Jesús Ruı́z-Cabello and Stéphane Randoux. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.