Melissa Gresle

1.3k total citations
37 papers, 773 citations indexed

About

Melissa Gresle is a scholar working on Pathology and Forensic Medicine, Immunology and Neurology. According to data from OpenAlex, Melissa Gresle has authored 37 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pathology and Forensic Medicine, 14 papers in Immunology and 9 papers in Neurology. Recurrent topics in Melissa Gresle's work include Multiple Sclerosis Research Studies (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). Melissa Gresle is often cited by papers focused on Multiple Sclerosis Research Studies (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). Melissa Gresle collaborates with scholars based in Australia, United States and Switzerland. Melissa Gresle's co-authors include Helmut Butzkueven, Trevor J. Kilpatrick, Gerry Shaw, Vilija Jokubaitis, Dennis Kemper, Michele D. Binder, Anna Friedhuber, Gary F. Egan, Bevyn Jarrott and Anneke van der Walt and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Melissa Gresle

34 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Gresle Australia 17 271 242 193 129 104 37 773
Jennifer L. Berard Canada 9 321 1.2× 220 0.9× 238 1.2× 321 2.5× 88 0.8× 9 929
Katrien L. de Graaf Germany 15 412 1.5× 312 1.3× 203 1.1× 111 0.9× 45 0.4× 24 791
Evert‐Jan Kooi Netherlands 10 245 0.9× 467 1.9× 184 1.0× 433 3.4× 140 1.3× 13 951
Mariola Matysiak Poland 15 222 0.8× 251 1.0× 265 1.4× 166 1.3× 121 1.2× 34 825
Ewoud Ewing Sweden 14 331 1.2× 124 0.5× 392 2.0× 249 1.9× 72 0.7× 27 933
Iliana Michailidou Netherlands 11 247 0.9× 243 1.0× 170 0.9× 368 2.9× 108 1.0× 21 716
J.C. Koetsier Netherlands 11 166 0.6× 275 1.1× 136 0.7× 146 1.1× 40 0.4× 21 600
Liat Hayardeny Israel 20 413 1.5× 467 1.9× 319 1.7× 247 1.9× 130 1.3× 35 1.2k
Hanane Touil Canada 11 570 2.1× 477 2.0× 204 1.1× 446 3.5× 95 0.9× 18 1.1k
Nathalie Koning Netherlands 12 517 1.9× 124 0.5× 225 1.2× 504 3.9× 74 0.7× 13 1.0k

Countries citing papers authored by Melissa Gresle

Since Specialization
Citations

This map shows the geographic impact of Melissa Gresle'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 Melissa Gresle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Gresle more than expected).

Fields of papers citing papers by Melissa Gresle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Gresle. 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 Melissa Gresle. The network helps show where Melissa Gresle may publish in the future.

Co-authorship network of co-authors of Melissa Gresle

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Gresle. A scholar is included among the top collaborators of Melissa Gresle 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 Melissa Gresle. Melissa Gresle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Xin, Yanan Hu, Chao Zhu, et al.. (2025). Adaptive transformer modelling of density function for nonparametric survival analysis. Machine Learning. 114(2).
2.
Foong, Yi Chao, Daniel Merlo, Melissa Gresle, et al.. (2025). Longitudinal Trajectories of Digital Cognitive Biomarkers for Multiple Sclerosis. Annals of Clinical and Translational Neurology. 12(4). 842–850. 2 indexed citations
3.
Merlo, Daniel, Yi Chao Foong, Chao Zhu, et al.. (2025). Long-term acceptability of MSReactor digital cognitive monitoring among people living with multiple sclerosis. Multiple Sclerosis Journal. 31(5). 595–606. 1 indexed citations
4.
Foong, Yi Chao, Daniel Merlo, Melissa Gresle, et al.. (2024). 3115 Longitudinal trajectories of digital cognitive biomarkers for multiple sclerosis. SHILAP Revista de lepidopterología. A37.3–A37.
5.
Foong, Yi Chao, Daniel Merlo, Melissa Gresle, et al.. (2024). Longitudinal trajectories of digital upper limb biomarkers for multiple sclerosis. European Journal of Neurology. 32(1). e70000–e70000. 1 indexed citations
6.
7.
Yeh, Wei Zhen, Melissa Gresle, Rod A. Lea, et al.. (2024). The immune cell transcriptome is modulated by vitamin D3 supplementation in people with a first demyelinating event participating in a randomized placebo-controlled trial. Clinical Immunology. 262. 110183–110183. 2 indexed citations
8.
Yeh, Wei Zhen, Rod A. Lea, Jim Stankovich, et al.. (2024). Transcriptomics identifies blunted immunomodulatory effects of vitamin D in people with multiple sclerosis. Scientific Reports. 14(1). 1436–1436. 3 indexed citations
9.
Foong, Yi Chao, Daniel Merlo, Melissa Gresle, et al.. (2023). The Patient‐Determined Disease Steps scale is not interchangeable with the Expanded Disease Status Scale in mild to moderate multiple sclerosis. European Journal of Neurology. 31(1). e16046–e16046. 9 indexed citations
10.
Maltby, Vicki E., Rod A. Lea, Alexandre Xavier, et al.. (2020). Epigenetic differences at the HTR2A locus in progressive multiple sclerosis patients. Scientific Reports. 10(1). 22217–22217. 8 indexed citations
11.
Gresle, Melissa, Margaret A. Jordan, Jim Stankovich, et al.. (2020). Multiple sclerosis risk variants regulate gene expression in innate and adaptive immune cells. Life Science Alliance. 3(7). e202000650–e202000650. 27 indexed citations
12.
Merlo, Daniel, Jim Stankovich, David Darby, et al.. (2020). The MSReactor computerized cognitive battery correlates with the processing speed test in relapsing-remitting multiple sclerosis. Multiple Sclerosis and Related Disorders. 43. 102212–102212. 5 indexed citations
13.
Field, Judith, Stephen D. Schibeci, Laura Johnson, et al.. (2015). The MS Risk Allele of CD40 Is Associated with Reduced Cell-Membrane Bound Expression in Antigen Presenting Cells: Implications for Gene Function. PLoS ONE. 10(6). e0127080–e0127080. 39 indexed citations
14.
Thiem, Stefan, Tanja Kuhlmann, Raimund Wagener, et al.. (2014). Axonally derived matrilin-2 induces proinflammatory responses that exacerbate autoimmune neuroinflammation. Journal of Clinical Investigation. 124(11). 5042–5056. 31 indexed citations
15.
Jokubaitis, Vilija, Melissa Gresle, Dennis Kemper, et al.. (2013). Endogenously regulated Dab2 worsens inflammatory injury in experimental autoimmune encephalomyelitis. Acta Neuropathologica Communications. 1(1). 32–32. 26 indexed citations
16.
Munro, Kathryn M., Kirsty J. Dixon, Melissa Gresle, et al.. (2013). EphA4 Receptor Tyrosine Kinase Is a Modulator of Onset and Disease Severity of Experimental Autoimmune Encephalomyelitis (EAE). PLoS ONE. 8(2). e55948–e55948. 23 indexed citations
17.
Gresle, Melissa, Qizhu Wu, Gary F. Egan, et al.. (2012). Leukemia Inhibitory Factor Protects Axons in Experimental Autoimmune Encephalomyelitis via an Oligodendrocyte-Independent Mechanism. PLoS ONE. 7(10). e47379–e47379. 23 indexed citations
18.
Walt, Anneke van der, Helmut Butzkueven, Scott Kolbe, et al.. (2010). Neuroprotection in multiple sclerosis: A therapeutic challenge for the next decade. Pharmacology & Therapeutics. 126(1). 82–93. 47 indexed citations
19.
Gresle, Melissa, Gerry Shaw, Bevyn Jarrott, et al.. (2008). Validation of a novel biomarker for acute axonal injury in experimental autoimmune encephalomyelitis. Journal of Neuroscience Research. 86(16). 3548–3555. 46 indexed citations
20.
Wu, Qizhu, Helmut Butzkueven, Melissa Gresle, et al.. (2007). MR diffusion changes correlate with ultra-structurally defined axonal degeneration in murine optic nerve. NeuroImage. 37(4). 1138–1147. 74 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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