Magdalena Chmara

53 total papers · 1.4k total citations
32 papers, 676 citations indexed

About

Magdalena Chmara is a scholar working on Surgery, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Magdalena Chmara has authored 32 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 9 papers in Cancer Research and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Magdalena Chmara's work include Lipoproteins and Cardiovascular Health (17 papers), Cancer, Lipids, and Metabolism (8 papers) and Lipid metabolism and disorders (3 papers). Magdalena Chmara is often cited by papers focused on Lipoproteins and Cardiovascular Health (17 papers), Cancer, Lipids, and Metabolism (8 papers) and Lipid metabolism and disorders (3 papers). Magdalena Chmara collaborates with scholars based in Poland, United Kingdom and United States. Magdalena Chmara's co-authors include Eric Legius, Bartosz Wasąg, Hilde Brems, Ludwine Messiaen, Sofie De Schepper, Ellen Denayer, Jan Cools, Jean‐Pierre Fryns, Koji Taniguchi and Reiko Kato and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Magdalena Chmara

30 papers receiving 659 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 Chmara 294 182 175 97 93 32 676
Tomonaga Matsushita 269 0.9× 146 0.8× 120 0.7× 64 0.7× 77 0.8× 21 741
Tatsuo Sawada 246 0.8× 121 0.7× 118 0.7× 119 1.2× 71 0.8× 56 717
Sandrine Eimer 244 0.8× 137 0.8× 77 0.4× 104 1.1× 140 1.5× 26 736
Makoto Shibuya 171 0.6× 219 1.2× 136 0.8× 108 1.1× 67 0.7× 49 788
Enrica Vitarelli 269 0.9× 77 0.4× 143 0.8× 158 1.6× 89 1.0× 52 794
Shoichi Nagai 228 0.8× 150 0.8× 84 0.5× 52 0.5× 48 0.5× 45 640
Dolores Segura 249 0.8× 52 0.3× 152 0.9× 129 1.3× 46 0.5× 25 629
Florian Wernig 225 0.8× 62 0.3× 132 0.8× 39 0.4× 62 0.7× 37 651
Robert Rzepko 205 0.7× 69 0.4× 135 0.8× 125 1.3× 69 0.7× 44 712
Shunji Yunoue 237 0.8× 175 1.0× 124 0.7× 80 0.8× 35 0.4× 26 730

Countries citing papers authored by Magdalena Chmara

Since Specialization
Citations

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

Fields of papers citing papers by Magdalena Chmara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Magdalena Chmara

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