Jakub Rosik
- Molecular Biology
- Infectious Diseases top 5%
- Cancer Research top 10%
- Neurology top 10%
- Surgery
- Co-authors
- Filip MachajBartosz SzostakSaeid GhavamiKatarzyna KotfisSylwester DrożdżalKacper LechowiczMarek ŁośAndrzej Pawlik
- Topics
- COVID-19 Clinical Research Studies (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)Rheumatoid Arthritis Research and Therapies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesBiotechnology Advances
- Partner nations
- PolandCanadaUnited States
In The Last Decade
Jakub Rosik
33 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 445
- Infectious Diseases 324
- Cancer Research 176
- Neurology 161
- Surgery 149
Countries citing papers authored by Jakub Rosik
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 96 | |
| 8 | An update on drugs with therapeutic potential for SARS-CoV-2 (COVID-19) treatmentbreakdown → | 180 |
| 9 | 70 | |
| 10 | 4 | |
| 11 | COVID-19: The Influence of ACE Genotype and ACE-I and ARBs on the Course of SARS-CoV-2 Infection in Elderly Patients | 2 |
| 12 | 114 | |
| 13 | 23 | |
| 14 | 126 | |
| 15 | 13 | |
| 16 | New therapies for the treatment of heart failure: a summary of recent accomplishments | 5 |
| 17 | 28 | |
| 18 | 84 | |
| 19 | 198 | |
| 20 | 1 |
About Jakub Rosik
Jakub Rosik is a scholar working on Infectious Diseases, Genetics and Behavioral Neuroscience, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this 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). The work is most often cited by research in Infectious Diseases (324 citations), Cancer Research (176 citations) and Neurology (161 citations). Jakub Rosik has collaborated with scholars based in Poland, Canada and United States. Frequent co-authors include Filip Machaj, Bartosz Szostak, Saeid Ghavami, Katarzyna Kotfis, Sylwester Drożdżal, Kacper Lechowicz, Marek Łoś, Andrzej Pawlik, Tayyebeh Madrakian and Shayan Amiri. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Biotechnology Advances.
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.