Jonathan Hasselmann
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroinflammation and Neurodegeneration Mechanisms 9
-
- Multiple Sclerosis Research Studies 4
- Co-authors
- Mathew Blurton‐Jones (9 shared papers)Hayk Davtyan (7 shared papers)Christina Tu (5 shared papers)Morgan Coburn (3 shared papers)Amanda McQuade (2 shared papers)Seema K. Tiwari‐Woodruff (6 shared papers)Anna J. Khalaj (3 shared papers)Sepideh Kiani Shabestari (5 shared papers)
- Journals
- Neurology (2 papers)Alzheimer s & Dementia (2 papers)Molecular Neurodegeneration (2 papers)ASN NEURO (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jonathan Hasselmann
17 papers receiving 823 citations
Peers
Comparison fields: 5 of 76
- Neurology 398
- Developmental Neuroscience 132
- Biological Psychiatry 29
- Immunology 194
- Physiology 145
Countries citing papers authored by Jonathan Hasselmann
This map shows the geographic impact of Jonathan Hasselmann'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 Hasselmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Hasselmann more than expected).
Fields of papers citing papers by Jonathan Hasselmann
This network shows the impact of papers produced by Jonathan Hasselmann. 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 Hasselmann. The network helps show where Jonathan Hasselmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Hasselmann, 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 | 2018 | 250 | |
| 2 | 2021 | 116 | |
| 3 | 2020 | 102 | |
| 4 | 2017 | 51 | |
| 5 | 2017 | 50 | |
| 6 | 2018 | 43 | |
| 7 | 2018 | 43 | |
| 8 | 2024 | 40 | |
| 9 | 2016 | 36 | |
| 10 | 2022 | 32 | |
| 11 | 2016 | 22 | |
| 12 | 2025 | 18 | |
| 13 | 2016 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2016 | 4 | |
| 16 | 2019 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Jonathan Hasselmann
Jonathan Hasselmann is a scholar working on Neurology, Pathology and Forensic Medicine, Developmental Neuroscience, Immunology and Molecular Biology, having authored 18 papers that have together received 827 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Multiple Sclerosis Research Studies (4 papers), Alzheimer's disease research and treatments (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Sphingolipid Metabolism and Signaling (2 papers), RNA regulation and disease (1 paper) and Medicinal Plants and Bioactive Compounds (1 paper). The work is most often cited by research in Neurology (398 citations), Developmental Neuroscience (132 citations), Biological Psychiatry (29 citations), Immunology (194 citations) and Physiology (145 citations). Jonathan Hasselmann has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Mathew Blurton‐Jones, Hayk Davtyan, Christina Tu, Morgan Coburn, Amanda McQuade, Seema K. Tiwari‐Woodruff, Anna J. Khalaj, Sepideh Kiani Shabestari, Robert C. Spitale and Jean Paul Chadarevian. Their work appears in journals such as Neurology, Alzheimer s & Dementia, Molecular Neurodegeneration, ASN NEURO and Molecular Therapy.
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.