Magda Łapińska

44 total papers · 750 total citations
24 papers, 166 citations indexed

About

Magda Łapińska is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Magda Łapińska has authored 24 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Physiology. Recurrent topics in Magda Łapińska's work include Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Diet and metabolism studies (3 papers). Magda Łapińska is often cited by papers focused on Cardiovascular Function and Risk Factors (5 papers), Cardiac Imaging and Diagnostics (4 papers) and Diet and metabolism studies (3 papers). Magda Łapińska collaborates with scholars based in Poland, United States and Belgium. Magda Łapińska's co-authors include Karol Kamiński, Jacek Jamiołkowski, Paweł Sowa, Małgorzata Chlabicz, Tadeusz Wojciech Łapiński, Andrzej Raczkowski, Małgorzata Szpakowicz, Joanna Pogorzelska, Magdalena Zalewska and Alicja Kalinowska and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Heart Journal.

In The Last Decade

Magda Łapińska

22 papers receiving 162 citations

Author Peers

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

Author Last Decade Papers Cites
Magda Łapińska 40 37 30 27 24 24 166
Małgorzata Chlabicz 76 1.9× 27 0.7× 37 1.2× 22 0.8× 18 0.8× 33 170
Liyan Huang 86 2.1× 51 1.4× 30 1.0× 30 1.1× 21 0.9× 36 218
Mariarosaria De Luca 113 2.8× 32 0.9× 16 0.5× 36 1.3× 24 1.0× 24 196
Cem Tanrıöver 32 0.8× 49 1.3× 31 1.0× 43 1.6× 66 2.8× 24 280
Shui Yu 37 0.9× 28 0.8× 18 0.6× 39 1.4× 21 0.9× 23 268
Stefano Cacciatore 54 1.4× 96 2.6× 21 0.7× 32 1.2× 15 0.6× 37 225
Jui‐Ting Hsiung 31 0.8× 37 1.0× 31 1.0× 35 1.3× 27 1.1× 20 184
Min‐Kuang Tsai 35 0.9× 49 1.3× 26 0.9× 25 0.9× 16 0.7× 30 176
Ahmed Mustafa Rashid 63 1.6× 42 1.1× 31 1.0× 26 1.0× 53 2.2× 34 179
Aida Fallahzadeh 77 1.9× 15 0.4× 22 0.7× 50 1.9× 29 1.2× 32 224

Countries citing papers authored by Magda Łapińska

Since Specialization
Citations

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

Fields of papers citing papers by Magda Łapińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magda Łapińska

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