Jakub Rosik

2.0k total citations · 1 hit paper
34 papers, 1.3k citations indexed

About

Jakub Rosik is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jakub Rosik has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jakub Rosik's work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). Jakub Rosik is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). Jakub Rosik collaborates with scholars based in Poland, Canada and United States. Jakub Rosik's co-authors include Filip Machaj, Bartosz Szostak, Saeid Ghavami, Katarzyna Kotfis, Sylwester Drożdżal, Kacper Lechowicz, Marek Łoś, Andrzej Pawlik, Mazaher Ahmadi and Shayan Amiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Biotechnology Advances.

In The Last Decade

Jakub Rosik

33 papers receiving 1.3k citations

Hit Papers

An update on drugs with therapeutic potential for SARS-Co... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Rosik Poland 15 445 324 176 161 149 34 1.3k
Filip Machaj Poland 14 433 1.0× 301 0.9× 172 1.0× 153 1.0× 137 0.9× 25 1.2k
Negin Parsamanesh Iran 15 540 1.2× 237 0.7× 136 0.8× 76 0.5× 165 1.1× 46 1.4k
Wenbin Tan United States 21 326 0.7× 296 0.9× 80 0.5× 169 1.0× 260 1.7× 48 1.3k
Shenghao Tu China 20 514 1.2× 327 1.0× 100 0.6× 158 1.0× 82 0.6× 70 1.7k
Kai Meng China 21 510 1.1× 341 1.1× 193 1.1× 209 1.3× 120 0.8× 65 1.6k
Ting Zhu China 24 632 1.4× 376 1.2× 137 0.8× 95 0.6× 58 0.4× 81 1.7k
Li‐Jiuan Shen Taiwan 26 384 0.9× 102 0.3× 184 1.0× 84 0.5× 159 1.1× 87 1.8k
Carmen Veith Netherlands 13 395 0.9× 732 2.3× 78 0.4× 215 1.3× 64 0.4× 15 1.5k

Countries citing papers authored by Jakub Rosik

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Rosik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Rosik

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Rosik. A scholar is included among the top collaborators of Jakub Rosik 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 Jakub Rosik. Jakub Rosik 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.
Rosik, Jakub, et al.. (2025). Catestatin in Cardiovascular Diseases. International Journal of Molecular Sciences. 26(6). 2417–2417. 2 indexed citations
2.
Kiełbowski, Kajetan, et al.. (2025). DNA and RNA Methylation in Rheumatoid Arthritis—A Narrative Review. Epigenomes. 9(1). 2–2. 1 indexed citations
3.
Rosik, Jakub, et al.. (2024). The Role of Semaphorins in the Pathogenesis of Rheumatoid Arthritis. Cells. 13(7). 618–618. 6 indexed citations
4.
Rosik, Jakub, et al.. (2023). Nuclear expression of Ku70/80 is associated with CHEK2 germline mutations in breast cancer. Polish Journal of Pathology. 74(2). 75–81.
5.
Kaczmarczyk, Mariusz, et al.. (2022). The Genetic Variants in the Renin-Angiotensin System and the Risk of Heart Failure in Polish Patients. Genes. 13(7). 1257–1257. 7 indexed citations
7.
Aghaei, Mahmoud, Marveh Rahmati, Filip Machaj, et al.. (2021). The Role of BiP and the IRE1α–XBP1 Axis in Rhabdomyosarcoma Pathology. Cancers. 13(19). 4927–4927. 11 indexed citations
8.
Kotowski, Krzysztof, Jakub Rosik, Filip Machaj, et al.. (2021). Role of PFKFB3 and PFKFB4 in Cancer: Genetic Basis, Impact on Disease Development/Progression, and Potential as Therapeutic Targets. Cancers. 13(4). 909–909. 96 indexed citations
9.
Rosik, Jakub, Bartosz Szostak, Filip Machaj, & Andrzej Pawlik. (2021). The Role of CTLA4 and Its Polymorphisms in Solid Organ and Haematopoietic Stem Cell Transplantation. International Journal of Molecular Sciences. 22(6). 3081–3081. 4 indexed citations
10.
Drożdżal, Sylwester, Kacper Lechowicz, Bartosz Szostak, et al.. (2021). Kidney damage from nonsteroidal anti‐inflammatory drugs—Myth or truth? Review of selected literature. Pharmacology Research & Perspectives. 9(4). e00817–e00817. 70 indexed citations
11.
Sieńko, Jerzy, et al.. (2020). COVID-19: The Influence of ACE Genotype and ACE-I and ARBs on the Course of SARS-CoV-2 Infection in Elderly Patients. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Ahmadi, Mazaher, Shayan Amiri, Stevan Pecic, et al.. (2020). Pleiotropic effects of statins: A focus on cancer. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(12). 165968–165968. 114 indexed citations
13.
Hybiak, Jolanta, Filip Machaj, Jakub Rosik, et al.. (2020). Reprogramming and transdifferentiation - two key processes for regenerative medicine. European Journal of Pharmacology. 882. 173202–173202. 13 indexed citations
14.
Drożdżal, Sylwester, Jakub Rosik, Kacper Lechowicz, et al.. (2020). FDA approved drugs with pharmacotherapeutic potential for SARS-CoV-2 (COVID-19) therapy. Drug Resistance Updates. 53. 100719–100719. 126 indexed citations
15.
Sieńko, Jerzy, Anna Bogacz, Kacper Lechowicz, et al.. (2020). <p>COVID-19: The Influence of ACE Genotype and ACE-I and ARBs on the Course of SARS-CoV-2 Infection in Elderly Patients</p>. Clinical Interventions in Aging. Volume 15. 1231–1240. 23 indexed citations
16.
Szostak, Bartosz, Filip Machaj, Jakub Rosik, & Andrzej Pawlik. (2020). Using pharmacogenetics to predict methotrexate response in rheumatoid arthritis patients. Expert Opinion on Drug Metabolism & Toxicology. 16(7). 617–626. 26 indexed citations
17.
Machaj, Filip, et al.. (2019). New therapies for the treatment of heart failure: a summary of recent accomplishments. SHILAP Revista de lepidopterología. 5 indexed citations
18.
Szostak, Bartosz, Filip Machaj, Jakub Rosik, & Andrzej Pawlik. (2019). Umbilical cord blood transplantation and the impact of the CTLA4 genotype on outcomes. Expert Review of Hematology. 12(12). 1089–1094. 1 indexed citations
19.
Machaj, Filip, et al.. (2019). <p>New therapies for the treatment of heart failure: a summary of recent accomplishments</p>. Therapeutics and Clinical Risk Management. Volume 15. 147–155. 28 indexed citations
20.
Hybiak, Jolanta, et al.. (2019). Aspirin and its pleiotropic application. European Journal of Pharmacology. 866. 172762–172762. 84 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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