Matthew Harmelink

440 total citations
12 papers, 99 citations indexed

About

Matthew Harmelink is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Matthew Harmelink has authored 12 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in Matthew Harmelink's work include Muscle Physiology and Disorders (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Neurological and metabolic disorders (2 papers). Matthew Harmelink is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Neurological and metabolic disorders (2 papers). Matthew Harmelink collaborates with scholars based in United States and Canada. Matthew Harmelink's co-authors include Dominic B. Fee, Emily Welby, Allison D. Ebert, Priya Monrad, Harry T. Whelan, Michael Weisgerber, Jun Ho Kim, Wei-Liang Chen, Donald E. Greydanus and Daniel Helbling and has published in prestigious journals such as Neurology, Human Molecular Genetics and Molecular Therapy.

In The Last Decade

Matthew Harmelink

11 papers receiving 96 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Harmelink United States 6 37 25 20 20 16 12 99
J. Cuisset France 7 81 2.2× 34 1.4× 52 2.6× 6 0.3× 11 0.7× 21 157
Sasha Živković United States 6 46 1.2× 13 0.5× 17 0.8× 47 2.4× 4 0.3× 9 113
L. Monge Galindo Spain 6 45 1.2× 30 1.2× 9 0.5× 34 1.7× 9 0.6× 34 137
Acary Sousa Bulle Oliveira Brazil 8 40 1.1× 18 0.7× 27 1.4× 56 2.8× 12 0.8× 14 161
R. Kulshrestha United Kingdom 8 151 4.1× 16 0.6× 30 1.5× 12 0.6× 15 0.9× 25 258
Marie Bénaiteau France 6 18 0.5× 31 1.2× 5 0.3× 86 4.3× 26 1.6× 24 140
Ali H. Alwadei Saudi Arabia 5 45 1.2× 15 0.6× 5 0.3× 28 1.4× 6 0.4× 14 113
Matthias Mauritz Austria 6 25 0.7× 64 2.6× 8 0.4× 21 1.1× 25 1.6× 12 119
Surachai Likasitwattanakul Thailand 6 19 0.5× 47 1.9× 10 0.5× 11 0.6× 39 2.4× 21 104
Hatice Mutlu Albayrak Türkiye 7 67 1.8× 9 0.4× 6 0.3× 5 0.3× 13 0.8× 26 147

Countries citing papers authored by Matthew Harmelink

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Harmelink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Harmelink

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

All Works

12 of 12 papers shown
2.
Harmelink, Matthew, et al.. (2024). IL-1ra and CCL5, but not IL-10, are promising targets for treating SMA astrocyte-driven pathology. Molecular Therapy. 33(2). 734–751. 1 indexed citations
3.
Harmelink, Matthew. (2022). Uncommon Causes of Rhabdomyolysis. Critical Care Clinics. 38(2). 271–285. 6 indexed citations
4.
Welby, Emily, et al.. (2021). Assessment of cerebral spinal fluid biomarkers and microRNA-mediated disease mechanisms in spinal muscular atrophy patient samples. Human Molecular Genetics. 31(11). 1830–1843. 17 indexed citations
5.
Nocton, James J., et al.. (2020). Anti‐Ku antibody‐positive systemic sclerosis‐polymyositis overlap syndrome in an adolescent. Pediatric Dermatology. 37(5). 960–961. 3 indexed citations
6.
Marbán, Linda, Craig M. McDonald, Michelle Eagle, et al.. (2020). LATE BREAKING NEWS E-POSTER PRESENTATION. Neuromuscular Disorders. 30. S168–S169. 4 indexed citations
7.
Harmelink, Matthew. (2019). Differentiating Congenital Myopathy from Congenital Muscular Dystrophy. Clinics in Perinatology. 47(1). 197–209. 5 indexed citations
8.
Helbling, Daniel, Julie McCarrier, Matthew Harmelink, et al.. (2019). Severe Neonatal RYR1 Myopathy With Pathological Features of Congenital Muscular Dystrophy. Journal of Neuropathology & Experimental Neurology. 78(3). 283–287. 4 indexed citations
9.
Whelan, Harry T., et al.. (2017). Complex febrile seizures—A systematic review. Disease-a-Month. 63(1). 5–23. 27 indexed citations
10.
Fee, Dominic B., et al.. (2017). Siblings With Mutations in TRAPPC11 Presenting With Limb-Girdle Muscular Dystrophy 2S. Journal of Clinical Neuromuscular Disease. 19(1). 27–30. 16 indexed citations
11.
Harmelink, Matthew, et al.. (2015). Pediatric Opsoclonus-Myoclonus-Ataxia Syndrome Associated With Anti-N-methyl-D-aspartate Receptor Encephalitis. Pediatric Neurology. 53(5). 456–458. 13 indexed citations
12.
Harmelink, Matthew, et al.. (2015). Congenital Unilateral Facial Nerve Hypoplasia and Parotid gland Agenesis (P2.105). Neurology. 84(14_supplement). 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026