Magda Kucia

256 papers and 14.2k indexed citations i.

About

Magda Kucia is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Magda Kucia has authored 256 papers receiving a total of 14.2k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Molecular Biology, 83 papers in Genetics and 66 papers in Hematology. Recurrent topics in Magda Kucia’s work include Mesenchymal stem cell research (78 papers), Pluripotent Stem Cells Research (72 papers) and Hematopoietic Stem Cell Transplantation (55 papers). Magda Kucia is often cited by papers focused on Mesenchymal stem cell research (78 papers), Pluripotent Stem Cells Research (72 papers) and Hematopoietic Stem Cell Transplantation (55 papers). Magda Kucia collaborates with scholars based in United States, Poland and Canada. Magda Kucia's co-authors include Mariusz Z. Ratajczak, Janina Ratajczak, Ryan Reca, Ewa Zuba‐Surma, Marcin Wysoczynski, Wojciech Wojakowski, Anna Janowska‐Wieczorek, Marcin Majka, Katarzyna Miękus and Petr Dvořák and has published in prestigious journals such as Circulation, Blood and Journal of the American College of Cardiology.

In The Last Decade

Co-authorship network of co-authors of Magda Kucia i

Fields of papers citing papers by Magda Kucia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Magda Kucia

Since Specialization
Citations

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

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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2025