Jonathan Hasselmann

2.3k total citations
17 papers, 759 citations indexed

About

Jonathan Hasselmann is a scholar working on Neurology, Immunology and Developmental Neuroscience. According to data from OpenAlex, Jonathan Hasselmann has authored 17 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Immunology and 5 papers in Developmental Neuroscience. Recurrent topics in Jonathan Hasselmann's work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Multiple Sclerosis Research Studies (4 papers). Jonathan Hasselmann is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Multiple Sclerosis Research Studies (4 papers). Jonathan Hasselmann collaborates with scholars based in United States, Switzerland and Australia. Jonathan Hasselmann's co-authors include Mathew Blurton‐Jones, Hayk Davtyan, Christina Tu, Morgan Coburn, Amanda McQuade, Seema K. Tiwari‐Woodruff, Anna J. Khalaj, Jean Paul Chadarevian, Sepideh Kiani Shabestari and Robert C. Spitale and has published in prestigious journals such as Neuron, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jonathan Hasselmann

16 papers receiving 752 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Hasselmann United States 11 386 253 200 157 131 17 759
Mar Bosch-Queralt Germany 6 341 0.9× 247 1.0× 218 1.1× 111 0.7× 172 1.3× 7 737
Nellie Anne Martin Denmark 9 437 1.1× 185 0.7× 257 1.3× 68 0.4× 141 1.1× 12 745
Dylan A. Galloway Canada 11 334 0.9× 294 1.2× 173 0.9× 86 0.5× 102 0.8× 11 700
Mackenzie A. Michell‐Robinson Canada 6 446 1.2× 160 0.6× 276 1.4× 93 0.6× 80 0.6× 12 675
Deborah Kronenberg‐Versteeg United Kingdom 17 311 0.8× 264 1.0× 349 1.7× 177 1.1× 180 1.4× 23 1.2k
Indigo V.L. Rose United States 11 557 1.4× 359 1.4× 212 1.1× 202 1.3× 150 1.1× 14 912
Beatriz Almolda Spain 17 449 1.2× 142 0.6× 314 1.6× 81 0.5× 101 0.8× 27 769
Shima Safaiyan Germany 5 562 1.5× 171 0.7× 290 1.4× 150 1.0× 180 1.4× 6 749
Merja Jaronen Finland 14 249 0.6× 246 1.0× 199 1.0× 147 0.9× 61 0.5× 17 834
Ruxandra Covacu Sweden 15 303 0.8× 262 1.0× 251 1.3× 94 0.6× 261 2.0× 22 913

Countries citing papers authored by Jonathan Hasselmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jonathan Hasselmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Hasselmann. A scholar is included among the top collaborators of Jonathan Hasselmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Hasselmann. Jonathan Hasselmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Coburn, Morgan, Ghazaleh Eskandari‐Sedighi, Jonathan Hasselmann, et al.. (2025). Human microglia differentially respond to β‐amyloid, tau, and combined Alzheimer's disease pathologies in vivo. Alzheimer s & Dementia. 21(11). e70930–e70930.
2.
Chadarevian, Jean Paul, Hayk Davtyan, Jasmine Nguyen, et al.. (2025). Harnessing human iPSC-microglia for CNS-wide delivery of disease-modifying proteins. Cell stem cell. 32(6). 914–934.e8. 10 indexed citations
3.
Chadarevian, Jean Paul, Jonathan Hasselmann, Christina Tu, et al.. (2024). Therapeutic potential of human microglia transplantation in a chimeric model of CSF1R-related leukoencephalopathy. Neuron. 112(16). 2686–2707.e8. 31 indexed citations
4.
Claes, Christel, Whitney England, Emma Danhash, et al.. (2022). The P522R protective variant of PLCG2 promotes the expression of antigen presentation genes by human microglia in an Alzheimer's disease mouse model. Alzheimer s & Dementia. 18(10). 1765–1778. 31 indexed citations
5.
Claes, Christel, Emma Danhash, Jonathan Hasselmann, et al.. (2021). Plaque-associated human microglia accumulate lipid droplets in a chimeric model of Alzheimer’s disease. Molecular Neurodegeneration. 16(1). 50–50. 106 indexed citations
6.
Hasselmann, Jonathan & Mathew Blurton‐Jones. (2020). Human iPSC‐derived microglia: A growing toolset to study the brain's innate immune cells. Glia. 68(4). 721–739. 94 indexed citations
7.
Hasselmann, Jonathan, Sung Hoon Kim, Joselyn S. Soto, et al.. (2019). Diffusion tensor imaging identifies aspects of therapeutic estrogen receptor β ligand-induced remyelination in a mouse model of multiple sclerosis. Neurobiology of Disease. 130. 104501–104501. 9 indexed citations
8.
McIntyre, Laura L., Jonathan Hasselmann, Shivashankar Othy, et al.. (2019). Human neural stem cells induce central nervous system specific regulatory T cells from the ex Treg pool and promote repair in models of multiple sclerosis. The Journal of Immunology. 202(1_Supplement). 193.10–193.10. 1 indexed citations
9.
Hingorani, Dina V., Jessica L. Crisp, Elamprakash N. Savariar, et al.. (2018). Impact of MMP-2 and MMP-9 enzyme activity on wound healing, tumor growth and RACPP cleavage. PLoS ONE. 13(9). e0198464–e0198464. 40 indexed citations
10.
McQuade, Amanda, Morgan Coburn, Christina Tu, et al.. (2018). Development and validation of a simplified method to generate human microglia from pluripotent stem cells. Molecular Neurodegeneration. 13(1). 67–67. 233 indexed citations
11.
Gold, Eric, et al.. (2018). Repeated Mild Closed Head Injuries Induce Long-Term White Matter Pathology and Neuronal Loss That Are Correlated With Behavioral Deficits. ASN NEURO. 10(1). 1663359201–1663359201. 41 indexed citations
12.
Lapato, Andrew, Jenny I. Szu, Jonathan Hasselmann, et al.. (2017). Chronic demyelination-induced seizures. Neuroscience. 346. 409–422. 47 indexed citations
13.
Hasselmann, Jonathan, et al.. (2017). Consistent induction of chronic experimental autoimmune encephalomyelitis in C57BL/6 mice for the longitudinal study of pathology and repair. Journal of Neuroscience Methods. 284. 71–84. 50 indexed citations
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16.
Khalaj, Anna J., et al.. (2016). Nudging oligodendrocyte intrinsic signaling to remyelinate and repair: Estrogen receptor ligand effects. The Journal of Steroid Biochemistry and Molecular Biology. 160. 43–52. 34 indexed citations
17.
Hussain, Timon, Linda Nguyen, Michael Whitney, Jonathan Hasselmann, & Quyen T. Nguyen. (2016). Improved facial nerve identification during parotidectomy with fluorescently labeled peptide. The Laryngoscope. 126(12). 2711–2717. 19 indexed citations

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.

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