Jonathan Pansieri
Impact in
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- Alzheimer's disease research and treatments
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- Supramolecular Self-Assembly in Materials
Papers in
- Physiology 15
- Alzheimer's disease research and treatments 14
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- S100 Proteins and Annexins 5
- Protein Structure and Dynamics 3
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
- Connexins and lens biology 2
- 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)Vytautas Smirnovas (5 shared papers)Mireille Dumoulin (3 shared papers)
- Journals
- Chemical Science (3 papers)Scientific Reports (2 papers)ACS Chemical Neuroscience (1 paper)Chemical Communications (1 paper)Progress in Neurobiology (1 paper)
- Partner nations
- United KingdomFranceSweden
In The Last Decade
Jonathan Pansieri
19 papers receiving 445 citations
Peers
Comparison fields: 5 of 80
- Physiology 181
- Biomaterials 81
- Microbiology 33
- Neurology 35
- Molecular Biology 212
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 71 | |
| 2 | 2016 | 53 | |
| 3 | 2018 | 49 | |
| 4 | 2013 | 41 | |
| 5 | 2018 | 40 | |
| 6 | 2018 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2021 | 24 | |
| 9 | 2017 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2021 | 17 | |
| 12 | 2019 | 12 | |
| 13 | 2023 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 0 |
About Jonathan Pansieri
Jonathan Pansieri is a scholar working on Physiology, Molecular Biology, Neurology, Pathology and Forensic Medicine and Neurology, having authored 20 papers that have together received 446 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), S100 Proteins and Annexins (5 papers), Protein Structure and Dynamics (3 papers), Multiple Sclerosis Research Studies (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Connexins and lens biology (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Physiology (181 citations), Biomaterials (81 citations), Microbiology (33 citations), Neurology (35 citations) and Molecular Biology (212 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, Vytautas Smirnovas, Mireille Dumoulin, Charlotte Vendrely and M Sallanon. Their work appears in journals such as Chemical Science, Scientific Reports, ACS Chemical Neuroscience, Chemical Communications and Progress in Neurobiology.
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.