Małgorzata Kapral

52 total papers · 584 total citations
45 papers, 500 citations indexed

About

Małgorzata Kapral is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Małgorzata Kapral has authored 45 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Małgorzata Kapral's work include Phytase and its Applications (13 papers), Sinusitis and nasal conditions (6 papers) and TGF-β signaling in diseases (6 papers). Małgorzata Kapral is often cited by papers focused on Phytase and its Applications (13 papers), Sinusitis and nasal conditions (6 papers) and TGF-β signaling in diseases (6 papers). Małgorzata Kapral collaborates with scholars based in Poland. Małgorzata Kapral's co-authors include Ludmiła Węglarz, Urszula Mazurek, Barbara Strzałka‐Mrozik, Małgorzata Kowalczyk, Marcin Frączek, Dariusz Kuśmierz, Joanna Gola, Monika Paul-Samojedny, Wojciech Gawron and Małgorzata Latocha and has published in prestigious journals such as International Journal of Molecular Sciences, Molecules and Mediators of Inflammation.

In The Last Decade

Małgorzata Kapral

45 papers receiving 492 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 Kapral 222 89 81 68 68 45 500
Christian Freise 198 0.9× 50 0.6× 88 1.1× 81 1.2× 44 0.6× 34 615
Kang Min Han 178 0.8× 50 0.6× 90 1.1× 79 1.2× 64 0.9× 49 584
Wei Ren 357 1.6× 102 1.1× 68 0.8× 69 1.0× 78 1.1× 42 606
Juncheng Li 216 1.0× 63 0.7× 113 1.4× 50 0.7× 43 0.6× 38 498
Eun Young Seo 245 1.1× 78 0.9× 39 0.5× 82 1.2× 33 0.5× 31 577
Nermin Raafat 197 0.9× 64 0.7× 79 1.0× 97 1.4× 35 0.5× 48 513
Katarzyna Ratajczak‐Wielgomas 218 1.0× 30 0.3× 106 1.3× 67 1.0× 156 2.3× 42 574
Jufang Chi 286 1.3× 33 0.4× 79 1.0× 40 0.6× 86 1.3× 26 562
Dezhong Wang 281 1.3× 97 1.1× 36 0.4× 64 0.9× 31 0.5× 34 558
Yan Hou 234 1.1× 70 0.8× 81 1.0× 44 0.6× 97 1.4× 26 598

Countries citing papers authored by Małgorzata Kapral

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Kapral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Kapral

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Kapral. A scholar is included among the top collaborators of Małgorzata Kapral 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 Kapral. Małgorzata Kapral 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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