Magdalena Chmara

1.5k total citations
32 papers, 679 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 679 indexed citations (citations by other indexed papers that have themselves been cited), including 19 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 (18 papers), Cancer, Lipids, and Metabolism (8 papers) and Genetic factors in colorectal cancer (3 papers). Magdalena Chmara is often cited by papers focused on Lipoproteins and Cardiovascular Health (18 papers), Cancer, Lipids, and Metabolism (8 papers) and Genetic factors in colorectal cancer (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, Jan Cools, Ellen Denayer, Akihiko Yoshimura, Mourad Sahbatou and Peter Marynen and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Magdalena Chmara

30 papers receiving 663 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Magdalena Chmara Poland 12 294 183 179 97 93 32 679
Enrica Vitarelli Italy 17 269 0.9× 77 0.4× 143 0.8× 159 1.6× 89 1.0× 52 797
Florian Wernig United Kingdom 11 226 0.8× 62 0.3× 134 0.7× 39 0.4× 62 0.7× 38 655
Shunji Yunoue Japan 16 237 0.8× 175 1.0× 124 0.7× 81 0.8× 35 0.4× 26 733
Hiroko Fukushima Japan 12 127 0.4× 79 0.4× 95 0.5× 59 0.6× 84 0.9× 35 506
Eriks A. Lusis United States 12 239 0.8× 277 1.5× 171 1.0× 118 1.2× 75 0.8× 14 724
Rossella Gulli Italy 14 180 0.6× 88 0.5× 78 0.4× 39 0.4× 83 0.9× 21 676
Elisabeth Steichen‐Gersdorf Austria 15 319 1.1× 246 1.3× 53 0.3× 25 0.3× 75 0.8× 27 793
Julie A. Mund United States 15 335 1.1× 118 0.6× 107 0.6× 164 1.7× 23 0.2× 30 688
Martine Devillers France 11 214 0.7× 71 0.4× 649 3.6× 42 0.4× 88 0.9× 11 926
Maurizio Polano Italy 14 213 0.7× 101 0.6× 77 0.4× 202 2.1× 31 0.3× 31 599

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

20 of 20 papers shown
1.
Janaszak‐Jasiecka, Anna, Magdalena Chmara, Leszek Kalinowski, et al.. (2025). Characterization of selected LDLR substitutions in patients with familial hypercholesterolemia. PubMed. 62. 30–37.
2.
Jasiecki, Jacek, Anna Janaszak‐Jasiecka, Magdalena Chmara, et al.. (2023). Novel Tools for Comprehensive Functional Analysis of LDLR (Low-Density Lipoprotein Receptor) Variants. International Journal of Molecular Sciences. 24(14). 11435–11435. 4 indexed citations
4.
Chlebus, Krzysztof, Marta Żarczyńska-Buchowiecka, Marcin Pajkowski, et al.. (2021). Homozygous familial hypercholesterolemia due to APOB genetic variant with unusual clinical course. Kardiologia Polska. 79(9). 1030–1031. 1 indexed citations
5.
Futema, Marta, Agnieszka Ćwiklińska, Agnieszka Kuchta, et al.. (2020). Higher responsiveness to rosuvastatin in polygenic versus monogenic hypercholesterolaemia: a propensity score analysis. European Heart Journal. 41(Supplement_2). 4 indexed citations
7.
8.
Gilis‐Malinowska, Natasza, Rafał Gałąska, Grzegorz Raczak, et al.. (2018). Long-term lipoprotein apheresis in the treatment of severe familial hypercholesterolemia refractory to high intensity statin therapy: Three year experience at a lipoprotein apheresis centre. Cardiology Journal. 26(6). 669–679. 12 indexed citations
9.
Lango, Romuald, Piotr Siondalski, Magdalena Chmara, et al.. (2018). Clinical, biochemical and genetic risk factors for 30-day and 5-year mortality in 518 adult patients subjected to cardiopulmonary bypass during cardiac surgery - the INFLACOR study.. Acta Biochimica Polonica. 65(2). 241–250. 6 indexed citations
10.
Gałąska, Rafał, Magdalena Chmara, Krzysztof Chlebus, et al.. (2018). Aortic valve calcium score in hypercholesterolemic patients with and without low-density lipoprotein receptor gene mutation. PLoS ONE. 13(12). e0209229–e0209229. 5 indexed citations
11.
Lipska‐Ziętkiewicz, Beata S., Magdalena Chmara, Bartosz Wasąg, et al.. (2016). The algorithm for Alzheimer risk assessment based on APOE promoter polymorphisms. Alzheimer s Research & Therapy. 8(1). 19–19. 20 indexed citations
12.
Chmara, Magdalena, Marta Futema, Marcin Fijałkowski, et al.. (2016). Efficacy of clinical diagnostic criteria for familial hypercholesterolemia genetic testing in Poland. Atherosclerosis. 249. 52–58. 20 indexed citations
13.
Miettinen, Markku, Anna Felisiak-Gołąbek, Bartosz Wasąg, et al.. (2016). Fumarase-deficient Uterine Leiomyomas. The American Journal of Surgical Pathology. 40(12). 1661–1669. 57 indexed citations
14.
15.
Romanowska‐Kocejko, Marzena, Magdalena Chmara, Janusz Limon, et al.. (2014). Noninvasive assessment of endothelial function and vascular parameters in patients with familial and nonfamilial hypercholesterolemia. Polskie Archiwum Medycyny Wewnętrznej. 124(10). 516–524. 7 indexed citations
16.
Wimmer, Katharina, Irene Slavc, Yael Goldberg, et al.. (2010). Brain tumors in constitutional mismatch repair deficiency syndrome: four new families with biallelic pms2 mutations. Neuro-Oncology. 12(6). 1 indexed citations
17.
Chmara, Magdalena, Bartosz Wasąg, Jolanta Kubalska, et al.. (2010). Molecular characterization of Polish patients with familial hypercholesterolemia: novel and recurrentLDLR mutations. Journal of Applied Genetics. 51(1). 95–106. 50 indexed citations
18.
Kubalska, Jolanta, Magdalena Chmara, Janusz Limon, et al.. (2008). Clinical course of homozygous familial hypercholesterolemia during childhood: report on 4 unrelated patients with homozygous or compound heterozygous mutations in theLDLR gene. Journal of Applied Genetics. 49(1). 109–113. 5 indexed citations
19.
Denayer, Ellen, Annabel Parret, Magdalena Chmara, et al.. (2007). Mutation analysis in Costello syndrome: functional and structural characterization of theHRASp.Lys117Arg mutation. Human Mutation. 29(2). 232–239. 38 indexed citations
20.
Raedt, Thomas De, Ophélia Maertens, Magdalena Chmara, et al.. (2006). Somatic loss of wild type NF1 allele in neurofibromas: Comparison of NF1 microdeletion and non‐microdeletion patients. Genes Chromosomes and Cancer. 45(10). 893–904. 47 indexed citations

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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