Tomáš Freiberger

9.9k total citations
143 papers, 2.0k citations indexed

About

Tomáš Freiberger is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Tomáš Freiberger has authored 143 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Surgery, 28 papers in Cardiology and Cardiovascular Medicine and 28 papers in Immunology. Recurrent topics in Tomáš Freiberger's work include Lipoproteins and Cardiovascular Health (52 papers), Cancer, Lipids, and Metabolism (25 papers) and Immunodeficiency and Autoimmune Disorders (16 papers). Tomáš Freiberger is often cited by papers focused on Lipoproteins and Cardiovascular Health (52 papers), Cancer, Lipids, and Metabolism (25 papers) and Immunodeficiency and Autoimmune Disorders (16 papers). Tomáš Freiberger collaborates with scholars based in Czechia, United Kingdom and United States. Tomáš Freiberger's co-authors include Lucie Grodecká, Lukáš Tichý, Lenka Fajkusová, Jiří Litzman, Vladimír Soška, Barbora Ravčuková, Michal Vráblík, Hana Grombiříková, Eva Němcová and V. Bláha and has published in prestigious journals such as Circulation, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Tomáš Freiberger

132 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Freiberger Czechia 25 622 527 363 361 344 143 2.0k
John V. Scholes United States 25 764 1.2× 419 0.8× 152 0.4× 185 0.5× 248 0.7× 51 2.0k
Geraldine G. Miller United States 28 960 1.5× 350 0.7× 515 1.4× 228 0.6× 516 1.5× 51 2.4k
Raffaella Morotti United States 26 1.1k 1.7× 558 1.1× 239 0.7× 67 0.2× 270 0.8× 95 2.3k
Kousaku Matsubara Japan 26 292 0.5× 485 0.9× 274 0.8× 81 0.2× 386 1.1× 108 2.0k
Farsad Eskandary Austria 28 917 1.5× 343 0.7× 512 1.4× 242 0.7× 161 0.5× 84 2.3k
Steven R. Hunt United States 26 1.6k 2.6× 765 1.5× 344 0.9× 98 0.3× 663 1.9× 80 3.2k
Masahiko Sugitani Japan 22 315 0.5× 661 1.3× 128 0.4× 92 0.3× 538 1.6× 132 2.0k
Rosalba Minisini Italy 27 150 0.2× 1.2k 2.3× 230 0.6× 183 0.5× 332 1.0× 104 2.1k
Jacob Nattermann Germany 36 440 0.7× 1.9k 3.6× 1.6k 4.5× 153 0.4× 414 1.2× 138 4.4k
Peter Schwimmbeck Germany 26 462 0.7× 420 0.8× 558 1.5× 1.7k 4.7× 479 1.4× 70 2.8k

Countries citing papers authored by Tomáš Freiberger

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Freiberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Freiberger

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Freiberger. A scholar is included among the top collaborators of Tomáš Freiberger 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 Tomáš Freiberger. Tomáš Freiberger 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.
Loja, Tomáš, Lenka Fajkusová, Ana Catarina Alves, et al.. (2025). Functional characterization of 16 variants found in the LDL receptor gene. Journal of Lipid Research. 66(9). 100873–100873.
2.
Bogsrud, Martin P., Kjetil Retterstøl, Elisabeth Kleivhaug Vesterbekkmo, et al.. (2025). Prospective study on breastfeeding, lipid profile and cardiovascular risk markers in women with familial hypercholesterolaemia: study protocol for the FH-FEMINA study. BMJ Open. 15(4). e092208–e092208. 1 indexed citations
3.
Freiberger, Tomáš, et al.. (2024). LDLR gene rearrangements in Czech FH patients likely arise from one mutational event. Lipids in Health and Disease. 23(1). 36–36.
4.
Gidding, Samuel S., Albert Wiegman, Urh Grošelj, et al.. (2022). Paediatric familial hypercholesterolaemia screening in Europe: public policy background and recommendations. European Journal of Preventive Cardiology. 29(18). 2301–2311. 40 indexed citations
5.
Souček, Přemysl, et al.. (2021). Nucleotides in both donor and acceptor splice sites are responsible for choice in NAGNAG tandem splice sites. Cellular and Molecular Life Sciences. 78(21-22). 6979–6993. 4 indexed citations
6.
7.
Grombiříková, Hana, et al.. (2020). Mendelian Susceptibility to Mycobacterial Disease: The First Case of a Diagnosed Adult Patient in the Czech Republic. SHILAP Revista de lepidopterología. 2020. 1–5. 3 indexed citations
8.
Urbánek, Robin, Lukáš Tichý, & Tomáš Freiberger. (2020). Tangier disease in family with the phenotype of familial hypercholesterolemia. Vnitřní lékařství. 66(7). 443–446. 1 indexed citations
9.
Králíčková, Pavlína, Ctirad Andrýs, Tomáš Freiberger, & Jan Krejsek. (2020). Inherited C2-complement deficiency: variable clinical manifestation (case reports and review). Vnitřní lékařství. 66(2). e48–e52. 2 indexed citations
10.
Souček, Přemysl, Kamila Réblová, Lenka Radová, et al.. (2019). High-throughput analysis revealed mutations’ diverging effects on SMN1 exon 7 splicing. RNA Biology. 16(10). 1364–1376. 6 indexed citations
11.
Vlková, Marcela, Zita Chovancová, Přemysl Souček, et al.. (2018). Neutrophil and Granulocytic Myeloid-Derived Suppressor Cell–Mediated T Cell Suppression Significantly Contributes to Immune Dysregulation in Common Variable Immunodeficiency Disorders. The Journal of Immunology. 202(1). 93–104. 26 indexed citations
12.
13.
Češka, R, et al.. (2017). [Hyperlipoproteinemia and dyslipidemia as rare diseases. Diagnostics and treatment].. PubMed. 62(11). 887–894. 2 indexed citations
14.
Freiberger, Tomáš, Lukáš Tichý, Vladimír Soška, et al.. (2017). [Familial hypercholesterolemia in the Czech Republic in 2016].. PubMed. 62(11). 924–928. 1 indexed citations
15.
Soška, Vladimír, Michal Vráblík, V. Bláha, et al.. (2016). [PCSK9 inhibitors - new possibilities in the treatment of hypercholesterolemia: For which patients will be indicated?Czech atherosclerosis society statement].. PubMed. 62(4). 329–33. 1 indexed citations
16.
Freiberger, Tomáš & Michal Vráblík. (2015). [Early diagnosis of familial hypercholesterolemia in Czech Republic in pursuance of MedPed Project].. PubMed. 61(11). 942–5. 2 indexed citations
17.
Soška, Vladimír, H Vaverková, Michal Vráblík, et al.. (2013). Stanovisko výboru ČSAT k doporučením ESC/EAS pro diagnostiku a léčbu dyslipidemií z roku 2011. Interní medicína pro praxi. 15(10). 322–326.
18.
Krejčí, Jan, Petr Hude, Tomáš Freiberger, et al.. (2013). Impact of inflammatory infiltration and viral genome presence in myocardium on the changes of echocardiographic parameters. Cor et Vasa. 55(4). e333–e340. 8 indexed citations
19.
20.
Belada, David, et al.. (2010). Diffuse large B-cell lymphoma in a patient with hyper-IgEsyndrome: Successful treatment with risk-adaptedrituximab-based immunochemotherapy. Leukemia Research. 2 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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