Małgorzata Maj

63 total papers · 873 total citations
38 papers, 635 citations indexed

About

Małgorzata Maj is a scholar working on Oncology, Surgery and Genetics. According to data from OpenAlex, Małgorzata Maj has authored 38 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 9 papers in Surgery and 6 papers in Genetics. Recurrent topics in Małgorzata Maj's work include Tissue Engineering and Regenerative Medicine (6 papers), Mesenchymal stem cell research (6 papers) and Cancer Cells and Metastasis (5 papers). Małgorzata Maj is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), Mesenchymal stem cell research (6 papers) and Cancer Cells and Metastasis (5 papers). Małgorzata Maj collaborates with scholars based in Poland, United States and Spain. Małgorzata Maj's co-authors include Anna Bajek, Tomasz Drewa, Łukasz Kaźmierski, P. Monteleone, F Brambilla, Joanna Olkowska, Natalia Gurtowska, Joanna Skopińska-Wiśniewska, Alina Sionkowska and Lidia Rudnicka and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Małgorzata Maj

33 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Małgorzata Maj 154 139 130 118 117 38 635
A. V. Lyundup 76 0.5× 125 0.9× 170 1.3× 183 1.6× 73 0.6× 66 686
Josée A. Plantinga 54 0.4× 167 1.2× 195 1.5× 147 1.2× 103 0.9× 20 616
Manuela Dicarlo 68 0.4× 91 0.7× 219 1.7× 112 0.9× 171 1.5× 40 786
Yu Zhao 91 0.6× 33 0.2× 116 0.9× 117 1.0× 66 0.6× 53 600
Shahram Darabi 77 0.5× 78 0.6× 175 1.3× 66 0.6× 34 0.3× 64 689
Seiko Tatehara 56 0.4× 64 0.5× 86 0.7× 105 0.9× 155 1.3× 35 579
Alessandra Aldinucci 115 0.7× 23 0.2× 195 1.5× 37 0.3× 56 0.5× 30 627
Wei Wu 87 0.6× 11 0.1× 151 1.2× 140 1.2× 87 0.7× 39 728
Jolanta Gorecka 137 0.9× 82 0.6× 166 1.3× 141 1.2× 50 0.4× 18 578
Christophe Némos 166 1.1× 52 0.4× 336 2.6× 99 0.8× 49 0.4× 23 776

Countries citing papers authored by Małgorzata Maj

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Maj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Maj

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

All Works

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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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