Anna Łusakowska

2.9k total citations
38 papers, 609 citations indexed

About

Anna Łusakowska is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Anna Łusakowska has authored 38 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 15 papers in Genetics. Recurrent topics in Anna Łusakowska's work include Genetic Neurodegenerative Diseases (16 papers), Neurogenetic and Muscular Disorders Research (15 papers) and Muscle Physiology and Disorders (12 papers). Anna Łusakowska is often cited by papers focused on Genetic Neurodegenerative Diseases (16 papers), Neurogenetic and Muscular Disorders Research (15 papers) and Muscle Physiology and Disorders (12 papers). Anna Łusakowska collaborates with scholars based in Poland, United Kingdom and Germany. Anna Łusakowska's co-authors include I Hausmanowa-Pétrusewicz, Sabine Rudnik‐Schöneborn, Klaus Zerres, Janina Borkowska, Anna Kostera‐Pruszczyk, Anna Kamińska, Anna Kamińska, Janusz Zimowski, Małgorzata Gaweł and Marta Lipowska and has published in prestigious journals such as Neurology, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Anna Łusakowska

34 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Łusakowska Poland 13 376 324 181 134 123 38 609
Johanna C.W. Deenen Netherlands 6 374 1.0× 154 0.5× 54 0.3× 117 0.9× 120 1.0× 12 570
Heike Kölbel Germany 14 444 1.2× 461 1.4× 314 1.7× 57 0.4× 56 0.5× 56 722
Megan A. Waldrop United States 17 432 1.1× 252 0.8× 191 1.1× 27 0.2× 78 0.6× 48 677
Marco Pelliccioni Italy 7 427 1.1× 440 1.4× 250 1.4× 45 0.3× 81 0.7× 8 665
Olivia Schreiber‐Katz Germany 13 269 0.7× 365 1.1× 163 0.9× 90 0.7× 25 0.2× 29 511
Mark A. Mynhier United States 8 313 0.8× 140 0.4× 84 0.5× 141 1.1× 77 0.6× 8 580
Satoshi Kuru Japan 12 336 0.9× 122 0.4× 47 0.3× 68 0.5× 90 0.7× 49 527
Peter Rieß Germany 12 207 0.6× 184 0.6× 123 0.7× 187 1.4× 121 1.0× 22 658
U.‐P. Ketelsen Germany 11 280 0.7× 202 0.6× 120 0.7× 300 2.2× 74 0.6× 35 714
Katy Eichinger United States 19 806 2.1× 241 0.7× 98 0.5× 250 1.9× 623 5.1× 46 1.1k

Countries citing papers authored by Anna Łusakowska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Łusakowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Łusakowska

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Łusakowska. A scholar is included among the top collaborators of Anna Łusakowska 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 Anna Łusakowska. Anna Łusakowska 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.
Maj, Edyta, Tomasz Wolak, Katarzyna Janiszewska, et al.. (2023). Differences in diffusion tensor imaging parameters of brain white matter tracts between patients with myotonic dystrophy type 1 and type 2 — a retrospective single-centre study. Neurologia i Neurochirurgia Polska. 57(5). 430–437. 1 indexed citations
2.
Łusakowska, Anna, et al.. (2023). Long-term nusinersen treatment across a wide spectrum of spinal muscular atrophy severity: a real-world experience. Orphanet Journal of Rare Diseases. 18(1). 230–230. 31 indexed citations
3.
4.
Mazurkiewicz‐Bełdzińska, Maria, Anna Kostera‐Pruszczyk, Anna Łusakowska, et al.. (2021). Clinical, multicenter treatment of patients with spinal muscular atrophy - the experience in Poland. 31(60). 11–25.
5.
Łusakowska, Anna, Maria Jędrzejowska, Anna Kamińska, et al.. (2021). Observation of the natural course of type 3 spinal muscular atrophy: data from the polish registry of spinal muscular atrophy. Orphanet Journal of Rare Diseases. 16(1). 150–150. 26 indexed citations
6.
7.
Muntoni, Francesco, Enrico Bertini, Giacomo P. Comi, et al.. (2020). Long-term follow-up of patients with type 2 and non-ambulant type 3 spinal muscular atrophy (SMA) treated with olesoxime in the OLEOS trial. Neuromuscular Disorders. 30(12). 959–969. 18 indexed citations
8.
Nojszewska, Monika, Anna Łusakowska, Małgorzata Gaweł, et al.. (2019). The needle EMG findings in myotonia congenita. Journal of Electromyography and Kinesiology. 49. 102362–102362. 4 indexed citations
9.
Schoser, Benedikt, Federica Montagnese, Guillaume Bassez, et al.. (2019). Consensus-based care recommendations for adults with myotonic dystrophy type 2. Neurology Clinical Practice. 9(4). 343–353. 35 indexed citations
10.
Łusakowska, Anna, Jakub Fichna, Katherine Johnson, et al.. (2019). ANO5 mutations in the Polish limb girdle muscular dystrophy patients: Effects on the protein structure. Scientific Reports. 9(1). 11533–11533. 12 indexed citations
11.
Wojciechowska, Marzena, Krzysztof Sobczak, Piotr Kozłowski, et al.. (2018). Quantitative Methods to Monitor RNA Biomarkers in Myotonic Dystrophy. Scientific Reports. 8(1). 5885–5885. 27 indexed citations
12.
Palczewski, Piotr, et al.. (2018). Hypoglossal nerve palsy as an isolated syndrome of internal carotid artery dissection: A review of the literature and a case report. Neurologia i Neurochirurgia Polska. 52(6). 731–735. 6 indexed citations
13.
Sułek, Anna, Anna Łusakowska, Wioletta Krysa, et al.. (2018). Evidence for a relatively high proportion of DM2 mutations in a large group of Polish patients. Neurologia i Neurochirurgia Polska. 52(6). 736–742. 1 indexed citations
14.
Bienias, Piotr, et al.. (2017). Cardiac autonomic function in type 1 and type 2 myotonic dystrophy. Clinical Autonomic Research. 27(3). 193–202. 3 indexed citations
15.
Nojszewska, Monika, Małgorzata Gaweł, Elżbieta Szmidt-Sałkowska, et al.. (2016). Abnormal spontaneous activity in primary myopathic disorders. Muscle & Nerve. 56(3). 427–432. 4 indexed citations
16.
Zimowski, Janusz, et al.. (2014). MLPA based detection of mutations in the dystrophin gene of 180 Polish families with Duchenne/Becker muscular dystrophy. Neurologia i Neurochirurgia Polska. 48(6). 416–422. 12 indexed citations
17.
Gaweł, Małgorzata, Anna Kostera‐Pruszczyk, Anna Łusakowska, et al.. (2014). Motor unit loss estimation by the multipoint incremental MUNE method in children with spinal muscular atrophy – A preliminary study. Neuromuscular Disorders. 25(3). 216–221. 20 indexed citations
18.
Szmidt-Sałkowska, Elżbieta, Małgorzata Gaweł, Anna Łusakowska, et al.. (2014). Does quantitative EMG differ myotonic dystrophy type 2 and type 1?. Journal of Electromyography and Kinesiology. 24(5). 755–761. 6 indexed citations
19.
Berdyński, Mariusz, Magdalena Kuźma‐Kozakiewicz, Claudia Ricci, et al.. (2011). Recurrent G41S mutation in Cu/Zn superoxide dismutase gene (SOD1) causing familial amyotrophic lateral sclerosis in a large Polish family. Amyotrophic Lateral Sclerosis. 13(1). 132–136. 5 indexed citations
20.
Zerres, Klaus, et al.. (1997). A collaborative study on the natural history of childhood and juvenile onset proximal spinal muscular atrophy (type II and III SMA): 569 patients. Journal of the Neurological Sciences. 146(1). 67–72. 194 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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