Jonathan Pansieri
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Physiology top 10%
- Alzheimer's disease research and treatments
Papers in
- Physiology 12
- Alzheimer's disease research and treatments 12
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- Multiple Sclerosis Research Studies 6
- Co-authors
- C. Marquette (5 shared papers)Vincent Forge (5 shared papers)Ludmilla A. Morozova‐Roche (7 shared papers)Olivier Tillement (3 shared papers)François Lux (3 shared papers)Igor A. Iashchishyn (5 shared papers)Mireille Dumoulin (3 shared papers)Vytautas Smirnovas (5 shared papers)
- Journals
- Chemical Science (3 papers)Scientific Reports (2 papers)Neurology (2 papers)ACS Chemical Neuroscience (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomFranceSweden
In The Last Decade
Jonathan Pansieri
19 papers receiving 495 citations
Peers
Comparison fields: 5 of 55
- Biomaterials 92
- Physiology 168
- Microbiology 33
- Neurology 25
- Biophysics 14
Countries citing papers authored by Jonathan Pansieri
This map shows the geographic impact of Jonathan Pansieri'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 Jonathan Pansieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Pansieri more than expected).
Fields of papers citing papers by Jonathan Pansieri
This network shows the impact of papers produced by Jonathan Pansieri. 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 Jonathan Pansieri. The network helps show where Jonathan Pansieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Pansieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2016 | 62 | |
| 3 | 2018 | 52 | |
| 4 | 2018 | 46 | |
| 5 | 2013 | 45 | |
| 6 | 2018 | 32 | |
| 7 | 2017 | 28 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 25 | |
| 10 | 2022 | 24 | |
| 11 | 2021 | 19 | |
| 12 | 2019 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 0 |
About Jonathan Pansieri
Jonathan Pansieri is a scholar working on Physiology, Pathology and Forensic Medicine, Molecular Biology, Neurology and Spectroscopy, having authored 22 papers that have together received 500 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Multiple Sclerosis Research Studies (6 papers), S100 Proteins and Annexins (5 papers), Mass Spectrometry Techniques and Applications (2 papers), Lipid Membrane Structure and Behavior (1 paper), Heat shock proteins research (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Biomaterials (92 citations), Physiology (168 citations), Microbiology (33 citations), Neurology (25 citations) and Biophysics (14 citations). Jonathan Pansieri has collaborated with scholars based in United Kingdom, France and Sweden. Frequent co-authors include C. Marquette, Vincent Forge, Ludmilla A. Morozova‐Roche, Olivier Tillement, François Lux, Igor A. Iashchishyn, Mireille Dumoulin, Vytautas Smirnovas, Marcelle Moulin Sallanon and Charlotte Vendrely. Their work appears in journals such as Chemical Science, Scientific Reports, Neurology, ACS Chemical Neuroscience and Journal of Biological Chemistry.
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.