Ewelina Pośpiech

3.3k total citations
58 papers, 1.9k citations indexed

About

Ewelina Pośpiech is a scholar working on Molecular Biology, Cell Biology and Dermatology. According to data from OpenAlex, Ewelina Pośpiech has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 20 papers in Cell Biology and 11 papers in Dermatology. Recurrent topics in Ewelina Pośpiech's work include Epigenetics and DNA Methylation (19 papers), melanin and skin pigmentation (19 papers) and Skin Protection and Aging (11 papers). Ewelina Pośpiech is often cited by papers focused on Epigenetics and DNA Methylation (19 papers), melanin and skin pigmentation (19 papers) and Skin Protection and Aging (11 papers). Ewelina Pośpiech collaborates with scholars based in Poland, United States and Netherlands. Ewelina Pośpiech's co-authors include Wojciech Branicki, Manfred Kayser, Susan Walsh, Anna Wojas‐Pelc, Magdalena Spólnicka, Fan Liu, Tomasz Kupiec, Christopher Phillips, Rezvan Noroozi and Soudeh Ghafouri‐Fard and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Oncogene.

In The Last Decade

Ewelina Pośpiech

54 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewelina Pośpiech Poland 27 1.2k 650 394 210 162 58 1.9k
Albert Min‐Shan Ko Taiwan 24 461 0.4× 493 0.8× 26 0.1× 28 0.1× 254 1.6× 47 1.8k
Nicholas Rafaels United States 21 324 0.3× 475 0.7× 35 0.1× 341 1.6× 15 0.1× 64 1.8k
Jane Juusola United States 21 1.2k 1.1× 892 1.4× 35 0.1× 10 0.0× 26 0.2× 41 1.7k
Lukas Forer Austria 19 879 0.8× 1.1k 1.7× 33 0.1× 9 0.0× 208 1.3× 58 2.2k
Nader Ghebranious United States 19 1.2k 1.1× 490 0.8× 80 0.2× 32 0.2× 6 0.0× 25 2.1k
Yuan Lin United States 20 779 0.7× 53 0.1× 445 1.1× 31 0.1× 38 0.2× 37 1.7k
María Cerezo Spain 13 917 0.8× 1.1k 1.7× 28 0.1× 13 0.1× 127 0.8× 19 1.8k
Matti Lukka Finland 19 497 0.4× 709 1.1× 36 0.1× 119 0.6× 58 0.4× 42 1.7k
Elida P.B. Ojopi Brazil 18 267 0.2× 273 0.4× 37 0.1× 20 0.1× 11 0.1× 30 1.4k
Patrick Sulem Iceland 26 974 0.8× 1.0k 1.6× 94 0.2× 14 0.1× 5 0.0× 51 2.7k

Countries citing papers authored by Ewelina Pośpiech

Since Specialization
Citations

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

Fields of papers citing papers by Ewelina Pośpiech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewelina Pośpiech

This figure shows the co-authorship network connecting the top 25 collaborators of Ewelina Pośpiech. A scholar is included among the top collaborators of Ewelina Pośpiech 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 Ewelina Pośpiech. Ewelina Pośpiech 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.
Żurawek, Dariusz, Piotr Major, Krzysztof Szade, et al.. (2025). Diosmetin alleviates TNFα-induced liver inflammation by improving liver sinusoidal endothelial cell dysfunction. Biomedicine & Pharmacotherapy. 183. 117843–117843. 3 indexed citations
2.
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.
3.
Haagmans, Martin A., Ewelina Pośpiech, Wojciech Branicki, et al.. (2025). DNA methylation-based forensic framework for age prediction and body fluid identification using nanopore sequencing. Forensic Science International Genetics. 81. 103370–103370.
4.
Radák, Zsolt, Ferenc Torma, Mátyás Jókai, et al.. (2023). DNAmFitAge: biological age indicator incorporating physical fitness. Aging. 15(10). 3904–3938. 53 indexed citations
5.
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
6.
Podkalicka, Paulina, Olga Mucha, Krzysztof Szade, et al.. (2022). miR-378 affects metabolic disturbances in the mdx model of Duchenne muscular dystrophy. Scientific Reports. 12(1). 3945–3945. 14 indexed citations
7.
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.
Pośpiech, Ewelina, Catarina Xavier, Aleksandra Pisarek, et al.. (2021). Development of the VISAGE enhanced tool and statistical models for epigenetic age estimation in blood, buccal cells and bones. Aging. 13(5). 6459–6484. 65 indexed citations
10.
Noroozi, Rezvan, Wojciech Branicki, Krzysztof Pyrć, et al.. (2020). Altered cytokine levels and immune responses in patients with SARS-CoV-2 infection and related conditions. Cytokine. 133. 155143–155143. 54 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.
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
13.
Spólnicka, Magdalena, Ewelina Pośpiech, Beata Pepłońska, et al.. (2017). DNA methylation in ELOVL2 and C1orf132 correctly predicted chronological age of individuals from three disease groups. International Journal of Legal Medicine. 132(1). 1–11. 76 indexed citations
14.
Freire-Aradas, A., Christopher Phillips, Ana Mosquera‐Miguel, et al.. (2016). Development of a methylation marker set for forensic age estimation using analysis of public methylation data and the Agena Bioscience EpiTYPER system. Forensic Science International Genetics. 24. 65–74. 118 indexed citations
15.
Pośpiech, Ewelina, Jeppe Dyrberg Andersen, M. van den Berge, et al.. (2015). Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness. PLoS ONE. 10(5). e0127852–e0127852. 50 indexed citations
16.
17.
Branicki, Wojciech, Ewelina Pośpiech, Tomasz Kupiec, & Józefa Styrna. (2014). A new dimension of the forensic DNA expertise – the need for training experts and expertise recipients. SHILAP Revista de lepidopterología. 3(3). 175–194. 2 indexed citations
18.
Pośpiech, Ewelina, Anna Wojas‐Pelc, Susan Walsh, et al.. (2014). The common occurrence of epistasis in the determination of human pigmentation and its impact on DNA-based pigmentation phenotype prediction. Forensic Science International Genetics. 11. 64–72. 44 indexed citations
19.
Pośpiech, Ewelina, et al.. (2013). Prediction of eye color in the Slovenian population using the IrisPlex SNPs. Croatian Medical Journal. 54(4). 381–386. 36 indexed citations
20.
Maruszak, Aleksandra, Krzysztof Safranow, Wojciech Branicki, et al.. (2011). The Impact of Mitochondrial and Nuclear DNA Variants on Late-Onset Alzheimer's Disease Risk. Journal of Alzheimer s Disease. 27(1). 197–210. 44 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Albert Min‐Shan Ko Breakdown of academic impact, for papers by Nicholas Rafaels Breakdown of academic impact, for papers by Jane Juusola Breakdown of academic impact, for papers by Lukas Forer Breakdown of academic impact, for papers by Nader Ghebranious Breakdown of academic impact, for papers by Yuan Lin Breakdown of academic impact, for papers by María Cerezo Breakdown of academic impact, for papers by Matti Lukka Breakdown of academic impact, for papers by Elida P.B. Ojopi Breakdown of academic impact, for papers by Patrick Sulem
Rankless by CCL
2026