Magdalena Kukla‐Bartoszek

757 total citations
16 papers, 406 citations indexed

About

Magdalena Kukla‐Bartoszek is a scholar working on Cell Biology, Molecular Biology and Dermatology. According to data from OpenAlex, Magdalena Kukla‐Bartoszek has authored 16 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 7 papers in Molecular Biology and 4 papers in Dermatology. Recurrent topics in Magdalena Kukla‐Bartoszek's work include melanin and skin pigmentation (9 papers), Molecular Biology Techniques and Applications (5 papers) and Skin Protection and Aging (4 papers). Magdalena Kukla‐Bartoszek is often cited by papers focused on melanin and skin pigmentation (9 papers), Molecular Biology Techniques and Applications (5 papers) and Skin Protection and Aging (4 papers). Magdalena Kukla‐Bartoszek collaborates with scholars based in Poland, Netherlands and United States. Magdalena Kukla‐Bartoszek's co-authors include Wojciech Branicki, Ewelina Pośpiech, Manfred Kayser, Susan Walsh, Krystal Breslin, Titia Sijen, Peter de Knijff, Lakshmi Chaitanya, Fan Liu and Sofia B. Zuniga and has published in prestigious journals such as International Journal of Molecular Sciences, BMC Genomics and Journal of Cellular Biochemistry.

In The Last Decade

Magdalena Kukla‐Bartoszek

14 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Magdalena Kukla‐Bartoszek Poland 10 230 206 115 61 56 16 406
Fabio P.N. Leite Brazil 5 142 0.6× 140 0.7× 155 1.3× 86 1.4× 20 0.4× 7 332
Gengqian Zhang China 11 244 1.1× 157 0.8× 26 0.2× 4 0.1× 33 0.6× 36 318
Yi‐Liang Wei China 13 267 1.2× 217 1.1× 16 0.1× 2 0.0× 16 0.3× 28 486
Boris Rebolledo‐Jaramillo Chile 9 257 1.1× 67 0.3× 10 0.1× 12 0.2× 3 0.1× 14 375
Marc L. Short United States 15 456 2.0× 315 1.5× 28 0.2× 31 0.6× 21 607
William H. Light United States 10 633 2.8× 63 0.3× 26 0.2× 10 0.2× 11 702
Ruiyang Tao China 13 423 1.8× 249 1.2× 5 0.0× 2 0.0× 24 0.4× 62 537
Gou Takahashi Japan 8 315 1.4× 151 0.7× 17 0.1× 4 0.1× 18 360
Muhammad Nasim Khan Pakistan 10 156 0.7× 75 0.4× 41 0.4× 2 0.0× 1 0.0× 27 256
Francesca Genova Italy 8 289 1.3× 165 0.8× 19 0.2× 4 0.1× 1 0.0× 12 383

Countries citing papers authored by Magdalena Kukla‐Bartoszek

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Kukla‐Bartoszek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magdalena Kukla‐Bartoszek. 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 Magdalena Kukla‐Bartoszek. The network helps show where Magdalena Kukla‐Bartoszek may publish in the future.

Co-authorship network of co-authors of Magdalena Kukla‐Bartoszek

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

All Works

16 of 16 papers shown
1.
Branicki, Wojciech, Aleksandra Pisarek, Magdalena Kukla‐Bartoszek, et al.. (2025). Investigation of the MC1R Gene Sequence Variation Using Oxford Nanopore Sequencing. Electrophoresis. 46(11-12). 727–731.
2.
3.
Głombik, Katarzyna, et al.. (2024). Contribution of changes in the orexin system and energy sensors in the brain in depressive disorder - a study in an animal model. Pharmacological Reports. 76(1). 51–71. 3 indexed citations
4.
Kukla‐Bartoszek, Magdalena & Katarzyna Głombik. (2024). Train and Reprogram Your Brain: Effects of Physical Exercise at Different Stages of Life on Brain Functions Saved in Epigenetic Modifications. International Journal of Molecular Sciences. 25(22). 12043–12043. 4 indexed citations
5.
Głombik, Katarzyna, et al.. (2023). The Effects of Prenatal Dexamethasone Exposure on Brain Metabolic Homeostasis in Adulthood: Implications for Depression. International Journal of Molecular Sciences. 24(2). 1156–1156. 9 indexed citations
6.
Pośpiech, Ewelina, Joanna Karłowska-Pik, Magdalena Kukla‐Bartoszek, et al.. (2022). Overlapping association signals in the genetics of hair-related phenotypes in humans and their relevance to predictive DNA analysis. Forensic Science International Genetics. 59. 102693–102693. 9 indexed citations
7.
Głombik, Katarzyna, et al.. (2022). Changes in regulators of lipid metabolism in the brain: a study of animal models of depression and hypothyroidism. Pharmacological Reports. 74(5). 859–870. 6 indexed citations
8.
Kukla‐Bartoszek, Magdalena, Paweł Teisseyre, Ewelina Pośpiech, et al.. (2021). Searching for improvements in predicting human eye colour from DNA. International Journal of Legal Medicine. 135(6). 2175–2187. 9 indexed citations
9.
Kukla‐Bartoszek, Magdalena, et al.. (2020). The challenge of predicting human pigmentation traits in degraded bone samples with the MPS-based HIrisPlex-S system. Forensic Science International Genetics. 47. 102301–102301. 19 indexed citations
10.
Pośpiech, Ewelina, Magdalena Kukla‐Bartoszek, Joanna Karłowska-Pik, et al.. (2020). Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data. BMC Genomics. 21(1). 538–538. 27 indexed citations
11.
Kukla‐Bartoszek, Magdalena, Ewelina Pośpiech, Joanna Karłowska-Pik, et al.. (2019). DNA-based predictive models for the presence of freckles. Forensic Science International Genetics. 42. 252–259. 25 indexed citations
12.
Breslin, Krystal, Arwin Ralf, Marina Ventayol García, et al.. (2019). HIrisPlex-S system for eye, hair, and skin color prediction from DNA: Massively parallel sequencing solutions for two common forensically used platforms. Forensic Science International Genetics. 43. 102152–102152. 52 indexed citations
13.
Chaitanya, Lakshmi, Krystal Breslin, Sofia B. Zuniga, et al.. (2018). The HIrisPlex-S system for eye, hair and skin colour prediction from DNA: Introduction and forensic developmental validation. Forensic Science International Genetics. 35. 123–135. 172 indexed citations
14.
Kukla‐Bartoszek, Magdalena, Ewelina Pośpiech, Magdalena Spólnicka, et al.. (2018). Investigating the impact of age-depended hair colour darkening during childhood on DNA-based hair colour prediction with the HIrisPlex system. Forensic Science International Genetics. 36. 26–33. 24 indexed citations
15.
Pośpiech, Ewelina, et al.. (2016). Further evidence for population specific differences in the effect of DNA markers and gender on eye colour prediction in forensics. International Journal of Legal Medicine. 130(4). 923–934. 18 indexed citations
16.
Horwacik, Irena, et al.. (2015). Monocyte Chemoattractant Protein-Induced Protein 1 Overexpression Modulates Transcriptome, Including MicroRNA, in Human Neuroblastoma Cells. Journal of Cellular Biochemistry. 117(3). 694–707. 29 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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