Mariusz Skwarczyński
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Immunology top 1%
- Immunotherapy and Immune Responses
Papers in
-
- RNA Interference and Gene Delivery 36
- vaccines and immunoinformatics approaches 19
- Chemical Synthesis and Analysis 14
- Immunology 63
- Immunotherapy and Immune Responses 49
- Immune Response and Inflammation 14
- Co-authors
- István Tóth (138 shared papers)Waleed M. Hussein (58 shared papers)Yoshiaki Kiso (16 shared papers)Nirmal Marasini (17 shared papers)Yoshio Hayashi (15 shared papers)Michael F. Good (29 shared papers)Ashwini Kumar Giddam (19 shared papers)Michael R. Batzloff (23 shared papers)
In The Last Decade
Mariusz Skwarczyński
162 papers receiving 5.4k citations
Mariusz Skwarczyński's Hit Papers
Peers
Comparison fields: 5 of 116
- Microbiology 789
- Immunology 1.8k
- Pharmaceutical Science 482
- Infectious Diseases 737
- Molecular Biology 2.7k
Countries citing papers authored by Mariusz Skwarczyński
This map shows the geographic impact of Mariusz Skwarczyński'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 Mariusz Skwarczyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariusz Skwarczyński more than expected).
Fields of papers citing papers by Mariusz Skwarczyński
This network shows the impact of papers produced by Mariusz Skwarczyński. 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 Mariusz Skwarczyński. The network helps show where Mariusz Skwarczyński may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariusz Skwarczyński, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Peptide-based synthetic vaccines Hit paper breakdown → | 2015 | 459 |
| 2 | 2013 | 192 | |
| 3 | 2014 | 166 | |
| 4 | 2006 | 150 | |
| 5 | 2010 | 145 | |
| 6 | 2014 | 126 | |
| 7 | 2013 | 102 | |
| 8 | 2011 | 99 | |
| 9 | 2013 | 96 | |
| 10 | 2020 | 92 | |
| 11 | 2012 | 81 | |
| 12 | 2021 | 80 | |
| 13 | 2018 | 78 | |
| 14 | 2021 | 77 | |
| 15 | 2014 | 76 | |
| 16 | 2019 | 73 | |
| 17 | 2021 | 73 | |
| 18 | 2019 | 73 | |
| 19 | 2019 | 71 | |
| 20 | 2003 | 70 |
About Mariusz Skwarczyński
Mariusz Skwarczyński is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Microbiology and Organic Chemistry, having authored 163 papers that have together received 5.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (49 papers), Streptococcal Infections and Treatments (39 papers), RNA Interference and Gene Delivery (36 papers), Antimicrobial Peptides and Activities (21 papers), Neonatal and Maternal Infections (20 papers), vaccines and immunoinformatics approaches (19 papers), Immune Response and Inflammation (14 papers) and Chemical Synthesis and Analysis (14 papers). The work is most often cited by research in Microbiology (789 citations), Immunology (1.8k citations), Pharmaceutical Science (482 citations), Infectious Diseases (737 citations) and Molecular Biology (2.7k citations). Mariusz Skwarczyński has collaborated with scholars based in Australia, Japan and Egypt. Frequent co-authors include István Tóth, Waleed M. Hussein, Yoshiaki Kiso, Nirmal Marasini, Yoshio Hayashi, Michael F. Good, Ashwini Kumar Giddam, Michael R. Batzloff, Fazren Azmi and Mehfuz Zaman. Their work appears in journals such as Vaccines, Bioorganic & Medicinal Chemistry, Nanomedicine, Current Drug Delivery and Pharmaceutics.
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.