Stella A. Glasmacher

605 total citations
17 papers, 254 citations indexed

About

Stella A. Glasmacher is a scholar working on Neurology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Stella A. Glasmacher has authored 17 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 4 papers in Pathology and Forensic Medicine and 3 papers in Genetics. Recurrent topics in Stella A. Glasmacher's work include Amyotrophic Lateral Sclerosis Research (5 papers), Multiple Sclerosis Research Studies (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Stella A. Glasmacher is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Multiple Sclerosis Research Studies (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Stella A. Glasmacher collaborates with scholars based in United Kingdom, Germany and Malawi. Stella A. Glasmacher's co-authors include Peter Leigh, William Stones, Suvankar Pal, Siddharthan Chandran, Patrick K. A. Kearns, Peter Connick, David Hunt, Niall MacDougall, Emily Beswick and Judith Newton and has published in prestigious journals such as PLoS ONE, The Lancet Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Stella A. Glasmacher

15 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stella A. Glasmacher United Kingdom 8 140 44 39 36 32 17 254
Vanja Bašić-Kes Croatia 11 76 0.5× 41 0.9× 11 0.3× 31 0.9× 24 0.8× 32 269
Vladimira Vuletić Croatia 11 97 0.7× 9 0.2× 21 0.5× 30 0.8× 41 1.3× 50 298
Toshimasa Sakakibara Japan 8 95 0.7× 34 0.8× 40 1.0× 72 2.0× 13 0.4× 16 340
Marine Le Corre France 10 45 0.3× 57 1.3× 17 0.4× 57 1.6× 25 0.8× 20 339
Roel Haeren Netherlands 11 228 1.6× 14 0.3× 12 0.3× 37 1.0× 31 1.0× 36 421
Edward Newman United Kingdom 5 138 1.0× 20 0.5× 46 1.2× 5 0.1× 29 0.9× 12 238
Vivek Vijay United Kingdom 8 188 1.3× 29 0.7× 36 0.9× 59 1.6× 7 0.2× 13 279
S. Zäll Sweden 6 304 2.2× 11 0.3× 28 0.7× 22 0.6× 22 0.7× 9 456
Peng‐Peng Niu China 11 96 0.7× 21 0.5× 6 0.2× 80 2.2× 21 0.7× 28 295

Countries citing papers authored by Stella A. Glasmacher

Since Specialization
Citations

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

Fields of papers citing papers by Stella A. Glasmacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stella A. Glasmacher. 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 Stella A. Glasmacher. The network helps show where Stella A. Glasmacher may publish in the future.

Co-authorship network of co-authors of Stella A. Glasmacher

This figure shows the co-authorship network connecting the top 25 collaborators of Stella A. Glasmacher. A scholar is included among the top collaborators of Stella A. Glasmacher 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 Stella A. Glasmacher. Stella A. Glasmacher 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.
Costa, Ana Sofia, Sandro Romanzetti, Stella A. Glasmacher, et al.. (2025). Two‐year impact of COVID‐19: Longitudinal MRI brain changes and neuropsychiatric trajectories. Psychiatry and Clinical Neurosciences. 79(4). 176–186. 3 indexed citations
2.
Hofmann, Anna, Ana Sofia Costa, Sandro Romanzetti, et al.. (2025). Evidence of clinical and brain recovery in post-COVID-19 condition: a three-year follow-up study. Brain Communications. 7(5). fcaf366–fcaf366.
3.
Reetz, Kathrin, Stella A. Glasmacher, Imis Dogan, et al.. (2025). Friedreich's ataxia—a rare multisystem disease. The Lancet Neurology. 24(7). 614–624. 4 indexed citations
4.
Glasmacher, Stella A., Daniel J. Taylor, Ruth Jenkins, et al.. (2023). Pain and cognitive performance in adults with multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders. 71. 104584–104584. 5 indexed citations
5.
Woodfield, Julie, Simon Lammy, Aimun A. B. Jamjoom, et al.. (2022). Demographics of Cauda Equina Syndrome: A Population-Based Incidence Study. Neuroepidemiology. 56(6). 460–468. 14 indexed citations
6.
Glasmacher, Stella A., Patrick K. A. Kearns, Peter Connick, et al.. (2022). The influence of disease-modifying therapy on hidden disability burden in people with newly diagnosed relapsing-remitting multiple sclerosis. Multiple Sclerosis and Related Disorders. 63. 103837–103837. 8 indexed citations
7.
Kearns, Patrick K. A., et al.. (2022). 032  Systematic review of prediction models in relapsing remitting multiple sclerosis. Journal of Neurology Neurosurgery & Psychiatry. 93(6). A23.2–A23.
8.
Beswick, Emily, Stella A. Glasmacher, Rachel Dakin, et al.. (2021). Prospective observational cohort study of factors influencing trial participation in people with motor neuron disease (FIT-participation-MND): a protocol. BMJ Open. 11(3). e044996–e044996. 5 indexed citations
9.
Glasmacher, Stella A., Patrick K. A. Kearns, Lucy Stirland, et al.. (2021). Prevalence of multimorbidity and its impact on survival in people with motor neuron disease. European Journal of Neurology. 28(8). 2756–2765. 2 indexed citations
10.
Glasmacher, Stella A., Patrick K. A. Kearns, Niall MacDougall, et al.. (2020). Systematic review of prediction models in relapsing remitting multiple sclerosis. PLoS ONE. 15(5). e0233575–e0233575. 27 indexed citations
11.
Glasmacher, Stella A., Judith Newton, Emily Beswick, et al.. (2020). The Prevalence and Management of Saliva Problems in Motor Neuron Disease: A 4-Year Analysis of the Scottish Motor Neuron Disease Register. Neurodegenerative Diseases. 20(4). 147–152. 9 indexed citations
12.
Newton, Judith, Stella A. Glasmacher, Andrew Bethell, et al.. (2020). Excellent reliability of the ALSFRS-R administered via videoconferencing: A study of people with motor neuron disease in Scotland. Journal of the Neurological Sciences. 416. 116991–116991. 6 indexed citations
13.
Glasmacher, Stella A., Hannah S. Thomas, Lucy Stirland, et al.. (2019). Incidental Findings Identified on Head MRI for Investigation of Cognitive Impairment: A Retrospective Review. Dementia and Geriatric Cognitive Disorders. 48(3-4). 123–130. 7 indexed citations
14.
Glasmacher, Stella A., et al.. (2019). Survival and Prognostic Factors in C9orf72 Repeat Expansion Carriers. JAMA Neurology. 77(3). 367–367. 23 indexed citations
15.
Glasmacher, Stella A., et al.. (2017). Predictors of survival in progressive supranuclear palsy and multiple system atrophy: a systematic review and meta-analysis. Journal of Neurology Neurosurgery & Psychiatry. 88(5). 402–411. 94 indexed citations
16.
Glasmacher, Stella A. & William Stones. (2017). A systematic review and diagnostic test accuracy meta-analysis of the validity of anion gap as a screening tool for hyperlactatemia. BMC Research Notes. 10(1). 556–556. 6 indexed citations
17.
Glasmacher, Stella A. & William Stones. (2015). Anion gap as a prognostic tool for risk stratification in critically ill patients – a systematic review and meta-analysis. BMC Anesthesiology. 16(1). 68–68. 41 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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