Joanna Taybert

445 total citations
17 papers, 274 citations indexed

About

Joanna Taybert is a scholar working on Molecular Biology, Clinical Biochemistry and Rheumatology. According to data from OpenAlex, Joanna Taybert has authored 17 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Clinical Biochemistry and 6 papers in Rheumatology. Recurrent topics in Joanna Taybert's work include Metabolism and Genetic Disorders (7 papers), Mitochondrial Function and Pathology (6 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). Joanna Taybert is often cited by papers focused on Metabolism and Genetic Disorders (7 papers), Mitochondrial Function and Pathology (6 papers) and Glycogen Storage Diseases and Myoclonus (4 papers). Joanna Taybert collaborates with scholars based in Poland, United Kingdom and Netherlands. Joanna Taybert's co-authors include Ewa Pronicka, Nicholas Beauchamp, Maciej Pronicki, Patrick McKiernan, Jolanta Sykut‐Cegielska, Terry G. J. Derks, Ulrike Steuerwald, Ewa Popowska, Elaine Murphy and François Petit and has published in prestigious journals such as Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease and European Journal of Pediatrics.

In The Last Decade

Joanna Taybert

17 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna Taybert Poland 8 118 111 76 72 56 17 274
Chuan‐Hong Kao Taiwan 7 158 1.3× 102 0.9× 141 1.9× 39 0.5× 204 3.6× 10 411
Marta Camilot Italy 12 157 1.3× 42 0.4× 66 0.9× 80 1.1× 18 0.3× 29 385
Toju Tanaka Japan 10 101 0.9× 106 1.0× 135 1.8× 27 0.4× 274 4.9× 16 417
Roberto Della Casa Italy 16 138 1.2× 311 2.8× 103 1.4× 166 2.3× 139 2.5× 34 536
Nawal Makhseed Kuwait 12 167 1.4× 66 0.6× 104 1.4× 38 0.5× 53 0.9× 18 303
Surekha Pendyal United States 9 89 0.8× 214 1.9× 158 2.1× 121 1.7× 128 2.3× 21 366
Emma Glamuzina New Zealand 11 148 1.3× 76 0.7× 149 2.0× 62 0.9× 68 1.2× 30 323
Barry Lewis Australia 10 141 1.2× 66 0.6× 187 2.5× 78 1.1× 56 1.0× 22 385
H.‐W. Yoo South Korea 11 166 1.4× 64 0.6× 38 0.5× 53 0.7× 21 0.4× 17 321
Bert Bachrach United States 9 67 0.6× 96 0.9× 20 0.3× 141 2.0× 22 0.4× 13 293

Countries citing papers authored by Joanna Taybert

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Taybert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Taybert

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Taybert. A scholar is included among the top collaborators of Joanna Taybert 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 Joanna Taybert. Joanna Taybert 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.
Jezela‐Stanek, Aleksandra, Agnieszka Sobczyńska‐Tomaszewska, Katarzyna Kuśmierska, et al.. (2022). Molecular Background and Disease Prevalence of Biotinidase Deficiency in a Polish Population—Data Based on the National Newborn Screening Programme. Genes. 13(5). 802–802. 4 indexed citations
2.
Bekiesińska‐Figatowska, Monika, et al.. (2021). Increasing the spectrum of white matter diseases with tigroid pattern on MRI: glutaric aciduria type 1 – case report. BMC Pediatrics. 21(1). 146–146. 2 indexed citations
3.
Szypowska, Agnieszka, et al.. (2020). Treatment of classic phenylketonuria in Poland in the years 2009–2015based on the database of the Polish National Health Fund. Pediatric Endocrinology Diabetes and Metabolism. 26(3). 118–124. 2 indexed citations
4.
Szypowska, Agnieszka, et al.. (2018). Medical care of patients with disorders of aromatic amino acid metabolism: a report based on the Polish National Health Fund data records. Pediatric Endocrinology Diabetes and Metabolism. 24(3). 118–125. 2 indexed citations
5.
Weinstein, David A., René Santer, Elaine Murphy, et al.. (2016). Glycogen storage disease type III: diagnosis, genotype, management, clinical course and outcome. Journal of Inherited Metabolic Disease. 39(5). 697–704. 97 indexed citations
6.
Taybert, Joanna. (2016). Procreation in families with inborn error of metabolism--new challenges for medical care.. PubMed. 19(4). 519–22. 3 indexed citations
7.
Tylki‐Szymańska, Anna, et al.. (2014). Clinical and molecular characteristics of two transaldolase-deficient patients. European Journal of Pediatrics. 173(12). 1679–1682. 11 indexed citations
8.
Pronicka, Ewa, Joanna Taybert, Maciej Pronicki, et al.. (2010). Post mortem identification of deoxyguanosine kinase (DGUOK) gene mutations combined with impaired glucose homeostasis and iron overload features in four infants with severe progressive liver failure. Journal of Applied Genetics. 52(1). 61–66. 36 indexed citations
9.
Tylki‐Szymańska, Anna, Mirjam M. C. Wamelink, Gajja S. Salomons, et al.. (2009). Transaldolase deficiency in two new patients with a relative mild phenotype. Molecular Genetics and Metabolism. 97(1). 15–17. 24 indexed citations
10.
Pronicki, Maciej, Dorota Piekutowska‐Abramczuk, Joanna Taybert, et al.. (2009). A homozygous mutation in the SCO2 gene causes a spinal muscular atrophy like presentation with stridor and respiratory insufficiency. European Journal of Paediatric Neurology. 14(3). 253–260. 21 indexed citations
11.
Matyja, Ewa, et al.. (2009). Remodelling of skeletal muscle cells in children with SCO2 gene mutation - ultrastructural study.. PubMed. 47(1). 20–32. 3 indexed citations
12.
Jurecka, Agnieszka, Anna Tylki‐Szymańska, Tomasz Kmieć, et al.. (2007). Deficyt liazy adenylobursztynianowej – diagnostyka i charakterystyka kliniczna 7 polskich pacjentów. Pediatria Polska. 82(7). 526–532. 2 indexed citations
13.
Beauchamp, Nicholas, Joanna Taybert, M. P. Champion, et al.. (2007). High frequency of missense mutations in glycogen storage disease type VI. Journal of Inherited Metabolic Disease. 30(5). 722–734. 31 indexed citations
14.
Sykut‐Cegielska, Jolanta, Agnieszka Jurecka, Joanna Taybert, et al.. (2005). Trial of erythropoietin treatment in a boy with glutathione synthetase deficiency. Journal of Inherited Metabolic Disease. 28(6). 1153–1154. 3 indexed citations
15.
16.
Tylki‐Szymańska, Anna, Barbara Czartoryska, Agnieszka Ługowska, et al.. (2003). Infantile sialic acid storage disease (ISSD): Report of the first case detected in Poland. Pediatrics International. 45(2). 199–200. 2 indexed citations
17.
Pronicka, Ewa, et al.. (2001). Compulsory hyperventilation and hypocapnia of patients with Leigh syndrome associated with SURF1 gene mutations as a cause of low serum bicarbonates. Journal of Inherited Metabolic Disease. 24(7). 707–714. 20 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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