Anna Sułek

2.4k total citations
53 papers, 397 citations indexed

About

Anna Sułek is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Anna Sułek has authored 53 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cellular and Molecular Neuroscience, 29 papers in Molecular Biology and 12 papers in Neurology. Recurrent topics in Anna Sułek's work include Genetic Neurodegenerative Diseases (29 papers), Mitochondrial Function and Pathology (15 papers) and Hereditary Neurological Disorders (8 papers). Anna Sułek is often cited by papers focused on Genetic Neurodegenerative Diseases (29 papers), Mitochondrial Function and Pathology (15 papers) and Hereditary Neurological Disorders (8 papers). Anna Sułek collaborates with scholars based in Poland, Germany and United States. Anna Sułek's co-authors include Jacek Zaremba, Wioletta Krysa, Maria Rakowicz, Elżbieta Zdzienicka, Iwona Stępniak, Małgorzata Chalimoniuk, Dorota Hoffman‐Zacharska, Jacek Pilch, Anna Łusakowska and Małgorzata Bednarska‐Makaruk and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of the Neurological Sciences.

In The Last Decade

Anna Sułek

50 papers receiving 390 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 Sułek Poland 13 238 156 101 95 86 53 397
Janel O. Johnson United States 10 94 0.4× 153 1.0× 66 0.7× 163 1.7× 73 0.8× 11 364
Gail Eglon United Kingdom 8 190 0.8× 172 1.1× 82 0.8× 72 0.8× 34 0.4× 10 302
Gong‐Lu Liu China 11 95 0.4× 111 0.7× 55 0.5× 70 0.7× 36 0.4× 20 309
Sonia Nouioua Algeria 11 298 1.3× 164 1.1× 124 1.2× 105 1.1× 33 0.4× 18 441
Robyn Labrum United Kingdom 14 400 1.7× 488 3.1× 62 0.6× 175 1.8× 44 0.5× 21 772
Jennifer Müller vom Hagen Germany 12 117 0.5× 169 1.1× 51 0.5× 150 1.6× 44 0.5× 15 440
T. Chkili Morocco 11 400 1.7× 363 2.3× 93 0.9× 191 2.0× 25 0.3× 32 721
Viorica Chelban United Kingdom 13 162 0.7× 128 0.8× 85 0.8× 185 1.9× 29 0.3× 27 381
Susen Schaake Germany 11 137 0.6× 115 0.7× 68 0.7× 234 2.5× 9 0.1× 22 407
Tamaki Iwase Japan 11 165 0.7× 142 0.9× 31 0.3× 87 0.9× 23 0.3× 19 415

Countries citing papers authored by Anna Sułek

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sułek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Sułek

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Sułek. A scholar is included among the top collaborators of Anna Sułek 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 Sułek. Anna Sułek 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.
2.
Hoffman‐Zacharska, Dorota & Anna Sułek. (2024). The New Face of Dynamic Mutation—The CAA [CAG]n CAA CAG Motif as a Mutable Unit in the TBP Gene Causative for Spino-Cerebellar Ataxia Type 17. International Journal of Molecular Sciences. 25(15). 8190–8190. 1 indexed citations
3.
Sułek, Anna. (2024). Secretome – the role of extracellular vesicles in the pathogenesisand therapy of neurodegenerative diseases. SHILAP Revista de lepidopterología. 33(3). 147–162. 2 indexed citations
4.
Sobańska, Anna, et al.. (2022). C9orf72 hexanucleotide repeat expansion found in suspected spinobulbar muscular atrophy (SBMA). Neurologia i Neurochirurgia Polska. 56(3). 276–280. 4 indexed citations
5.
Dulski, Jarosław, et al.. (2022). Spinocerebellar ataxia type 3 (Machado–Joseph disease). Polskie Archiwum Medycyny Wewnętrznej. 132(10). 2 indexed citations
6.
Chalimoniuk, Małgorzata, et al.. (2020). The Effect of Endurance Training on Brain-Derived Neurotrophic Factor and Inflammatory Markers in Healthy People and Parkinson's Disease. A Narrative Review. Frontiers in Physiology. 11. 578981–578981. 12 indexed citations
7.
Bosak, Magdalena, et al.. (2020). Genetic testing and the phenotype of Polish patients with Unverricht–Lundborg disease (EPM1) — A cohort study. Epilepsy & Behavior. 112. 107439–107439. 3 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.
Lasek‐Bal, Anetta, et al.. (2019). Unverricht-Lundborg disease: Clinical course and seizure management based on the experience of polish centers. Seizure. 69. 87–91. 7 indexed citations
10.
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
11.
Stępniak, Iwona, Wioletta Krysa, Maria Rakowicz, et al.. (2015). Molecular spectrum of the SPAST, ATL1 and REEP1 gene mutations associated with the most common hereditary spastic paraplegias in a group of Polish patients. Journal of the Neurological Sciences. 359(1-2). 35–39. 25 indexed citations
12.
Petriczko, Elżbieta, Ewa Barg, Anna Sułek, et al.. (2012). Familial distal monosomy 3p26.3‐pter with trisomy 4q32.2‐qter, presenting with progressive ataxia, intellectual disability, and dysmorphic features. American Journal of Medical Genetics Part A. 158A(6). 1442–1446. 4 indexed citations
13.
Koziorowski, Dariusz, et al.. (2011). Rodzinne występowanie zespołu FXTAS powodowanego premutacją w genie FMR1. Neurologia i Neurochirurgia Polska. 45(4). 391–396. 1 indexed citations
14.
15.
Sułek, Anna, et al.. (2010). The occurrence of spinocerebellar ataxias caused by dynamic mutations in Polish patients. Neurologia i Neurochirurgia Polska. 44(3). 238–245. 19 indexed citations
16.
Sułek, Anna, et al.. (2009). Screening for premutation in the FMR1 gene in male patients suspected of spinocerebellar ataxia.. PubMed. 42(6). 497–504. 9 indexed citations
17.
Skrzypczak-Zielińska, Marzena, Anna Sułek, Marek Mierzejewski, & Ursula G. Froster. (2009). New Analysis Method of Myotonic Dystrophy 1 Based on Quantitative Fluorescent Polymerase Chain Reaction. Genetic Testing and Molecular Biomarkers. 13(5). 651–655. 4 indexed citations
18.
Mirowska-Guzeł, Dagmara, Joanna Seniów, Anna Sułek, Marcin Leśniak, & Anna Członkowska. (2009). Are cognitive and behavioural deficits a part of the clinical picture in Kennedy's disease? A case study. Neurocase. 15(4). 332–337. 8 indexed citations
19.
Sułek, Anna, Wioletta Krysa, Elżbieta Zdzienicka, et al.. (2008). Searching for mutation in the JPH3, ATN1 and TBP genes in Polish patients suspected of Huntington's disease and without mutation in the IT15 gene.. PubMed. 42(3). 203–9. 11 indexed citations
20.
Popowska, Ewa, Anna Sułek, Jolanta Kubalska, et al.. (1998). Different mutations in Polish patients with HPRT deficiency - the Lesch-Nyhan and Kelley-Seegmiller syndromes. Journal of Applied Genetics. 39(1). 103–111. 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.

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