Małgorzata Marjańska
-
- Advanced MRI Techniques and Applications 73
- Advanced Neuroimaging Techniques and Applications 20
- Biophysics top 1%
- Electron Spin Resonance Studies 11
- Spectroscopy top 1%
- Advanced NMR Techniques and Applications 34
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 20
- Biological Psychiatry top 5%
-
- Glioma Diagnosis and Treatment 10
-
- Lanthanide and Transition Metal Complexes 8
-
- Alzheimer's disease research and treatments 8
- Co-authors
- Dinesh K. DeelchandKâmil UǧurbilPierre‐Gilles HenryMelissa TerpstraMichael GarwoodEdward J. AuerbachGülin ÖzJulien Doyon
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Journal of Chemical Physics (2 papers)Journal of Neuroscience (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Małgorzata Marjańska
103 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 2.0k
- Biophysics 280
- Spectroscopy 717
- Cognitive Neuroscience 764
- Biological Psychiatry 92
Countries citing papers authored by Małgorzata Marjańska
This map shows the geographic impact of Małgorzata Marjańska'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 Małgorzata Marjańska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Marjańska more than expected).
Fields of papers citing papers by Małgorzata Marjańska
This network shows the impact of papers produced by Małgorzata Marjańska. 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 Małgorzata Marjańska. The network helps show where Małgorzata Marjańska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Małgorzata Marjańska, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 8 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 207 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 19 | |
| 14 | 2017 | 37 | |
| 15 | 2015 | 116 | |
| 16 | 2013 | 40 | |
| 17 | 2009 | 53 | |
| 18 | 2009 | 27 | |
| 19 | 2005 | 10 | |
| 20 | 2005 | 48 |
About Małgorzata Marjańska
Małgorzata Marjańska is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Biophysics, having authored 105 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (73 papers), Advanced NMR Techniques and Applications (34 papers), Functional Brain Connectivity Studies (20 papers), Advanced Neuroimaging Techniques and Applications (20 papers), Electron Spin Resonance Studies (11 papers), Glioma Diagnosis and Treatment (10 papers), Lanthanide and Transition Metal Complexes (8 papers) and Alzheimer's disease research and treatments (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.0k citations), Biophysics (280 citations) and Spectroscopy (717 citations). Małgorzata Marjańska has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Dinesh K. Deelchand, Kâmil Uǧurbil, Pierre‐Gilles Henry, Melissa Terpstra, Michael Garwood, Edward J. Auerbach, Gülin Öz, Julien Doyon, Clifford R. Jack and Joseph F. Poduslo. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Neuroscience.
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.