Maria Korab-Laskowska

13 total papers · 405 total citations
8 papers, 311 citations indexed

About

Maria Korab-Laskowska is a scholar working on Molecular Biology, Genetics and Information Systems. According to data from OpenAlex, Maria Korab-Laskowska has authored 8 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Information Systems. Recurrent topics in Maria Korab-Laskowska's work include Molecular Biology Techniques and Applications (3 papers), Technology and Human Factors in Education and Health (2 papers) and Artificial Intelligence in Education (2 papers). Maria Korab-Laskowska is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Technology and Human Factors in Education and Health (2 papers) and Artificial Intelligence in Education (2 papers). Maria Korab-Laskowska collaborates with scholars based in Canada, United States and Poland. Maria Korab-Laskowska's co-authors include Damian Labuda, Ewa Ziętkiewicz, Michal Jarník, David Modiano, Rosaria Scozzari, Mark A. Batzer, Sarah A. Tishkoff, Kenneth K. Kídd, Mark Stoneking and Vania Yotova and has published in prestigious journals such as Nucleic Acids Research, Gene and Genomics.

In The Last Decade

Maria Korab-Laskowska

8 papers receiving 304 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Korab-Laskowska 155 144 30 25 20 8 311
Jonathan M. Downie 89 0.6× 78 0.5× 37 1.2× 11 0.4× 20 1.0× 13 223
Tatiana Ferreira de Almeida 182 1.2× 129 0.9× 18 0.6× 9 0.4× 19 0.9× 10 305
Daniel Harris 194 1.3× 173 1.2× 6 0.2× 125 5.0× 16 0.8× 5 336
Petra Galgóczy 275 1.8× 100 0.7× 7 0.2× 31 1.2× 14 0.7× 5 353
F. Marlhens 265 1.7× 92 0.6× 21 0.7× 34 1.4× 25 1.3× 15 346
E. T. Dermitzakis 178 1.1× 143 1.0× 5 0.2× 35 1.4× 57 2.9× 7 319
Alice Mann 143 0.9× 102 0.7× 11 0.4× 10 0.4× 11 0.6× 6 254
Katharina Steinmann 181 1.2× 111 0.8× 30 1.0× 42 1.7× 10 0.5× 9 350
Jussi Helppi 191 1.2× 86 0.6× 56 1.9× 19 0.8× 26 1.3× 9 321
Ryan O’Rourke 174 1.1× 68 0.5× 21 0.7× 35 1.4× 35 1.8× 7 280

Countries citing papers authored by Maria Korab-Laskowska

Since Specialization
Citations

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

Fields of papers citing papers by Maria Korab-Laskowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Korab-Laskowska. 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 Maria Korab-Laskowska. The network helps show where Maria Korab-Laskowska may publish in the future.

Co-authorship network of co-authors of Maria Korab-Laskowska

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

All Works

Loading papers...

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

Rankless by CCL
2026