Magdalena Łanocha

75 total papers · 444 total citations
40 papers, 287 citations indexed

About

Magdalena Łanocha is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Magdalena Łanocha has authored 40 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 23 papers in Surgery and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Magdalena Łanocha's work include Coronary Interventions and Diagnostics (18 papers), Acute Myocardial Infarction Research (8 papers) and Cardiac Imaging and Diagnostics (7 papers). Magdalena Łanocha is often cited by papers focused on Coronary Interventions and Diagnostics (18 papers), Acute Myocardial Infarction Research (8 papers) and Cardiac Imaging and Diagnostics (7 papers). Magdalena Łanocha collaborates with scholars based in Poland, China and Spain. Magdalena Łanocha's co-authors include Maciej Lesiak, Stefan Grajek, Olga Trojnarska, Adrian Włodarczak, Andrzej Szyszka, Lucyna Kramer, Adrian Gwizdała, Małgorzata Pyda, Piotr Rola and Magdalena Janus and has published in prestigious journals such as The American Journal of Cardiology, Journal of Clinical Medicine and EP Europace.

In The Last Decade

Magdalena Łanocha

36 papers receiving 280 citations

Author Peers

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

Author Last Decade Papers Cites
Magdalena Łanocha 197 147 79 76 59 40 287
Giuseppe Calligaris 137 0.7× 177 1.2× 54 0.7× 146 1.9× 82 1.4× 29 314
Pier Pasquale Leone 146 0.7× 150 1.0× 47 0.6× 53 0.7× 66 1.1× 47 243
Dimytri Siqueira 232 1.2× 158 1.1× 92 1.2× 97 1.3× 50 0.8× 54 312
Eglė Ereminienė 221 1.1× 75 0.5× 61 0.8× 109 1.4× 41 0.7× 52 286
Serruys Pw 160 0.8× 204 1.4× 41 0.5× 84 1.1× 115 1.9× 43 291
Miroslava Stolcova 166 0.8× 175 1.2× 72 0.9× 134 1.8× 65 1.1× 40 297
Jakub Marczak 111 0.6× 112 0.8× 51 0.6× 68 0.9× 39 0.7× 29 296
Toshiaki Toyota 228 1.2× 168 1.1× 37 0.5× 33 0.4× 74 1.3× 35 324
G Soots 126 0.6× 214 1.5× 40 0.5× 110 1.4× 72 1.2× 36 313
Hyun Song 209 1.1× 226 1.5× 47 0.6× 61 0.8× 39 0.7× 29 314

Countries citing papers authored by Magdalena Łanocha

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Łanocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Łanocha

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