Mateusz Maciejewski
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Complement system in diseases
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Rheumatoid Arthritis Research and Therapies 7
-
- Complement system in diseases 4
- Co-authors
- Daniel Ziemek (9 shared papers)Paul Nigel Barlow (5 shared papers)Anne Mai Wassermann (3 shared papers)Meir Glick (2 shared papers)Ranillo R.G. Resuello (1 shared paper)Kimme Leanne Hyrich (3 shared papers)Daniel Ricklin (1 shared paper)Darren Plant (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Scientific Reports (2 papers)Lara D. Veeken (2 papers)Journal of Computational Chemistry (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Mateusz Maciejewski
28 papers receiving 916 citations
Peers
Comparison fields: 5 of 110
- Immunology 438
- Rheumatology 137
- Microbiology 36
- Nephrology 40
- Oncology 143
Countries citing papers authored by Mateusz Maciejewski
This map shows the geographic impact of Mateusz Maciejewski'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 Mateusz Maciejewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Maciejewski more than expected).
Fields of papers citing papers by Mateusz Maciejewski
This network shows the impact of papers produced by Mateusz Maciejewski. 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 Mateusz Maciejewski. The network helps show where Mateusz Maciejewski may publish in the future.
Co-authors
The 25 scholars most cited alongside Mateusz Maciejewski, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 302 | |
| 2 | 2012 | 131 | |
| 3 | 2019 | 56 | |
| 4 | 2020 | 54 | |
| 5 | 2016 | 47 | |
| 6 | 2021 | 46 | |
| 7 | 2017 | 42 | |
| 8 | 2021 | 34 | |
| 9 | 2013 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2012 | 23 | |
| 12 | 2011 | 19 | |
| 13 | 2019 | 18 | |
| 14 | 2021 | 18 | |
| 15 | 2016 | 17 | |
| 16 | 2013 | 14 | |
| 17 | 2015 | 14 | |
| 18 | 2014 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2021 | 7 |
About Mateusz Maciejewski
Mateusz Maciejewski is a scholar working on Rheumatology, Immunology, Computational Theory and Mathematics, Biophysics and Molecular Biology, having authored 29 papers that have together received 944 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (7 papers), Computational Drug Discovery Methods (6 papers), Complement system in diseases (4 papers), Inflammatory Bowel Disease (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Immunology (438 citations), Rheumatology (137 citations), Microbiology (36 citations), Nephrology (40 citations) and Oncology (143 citations). Mateusz Maciejewski has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Daniel Ziemek, Paul Nigel Barlow, Anne Mai Wassermann, Meir Glick, Ranillo R.G. Resuello, Kimme Leanne Hyrich, Daniel Ricklin, Darren Plant, Robert A. DeAngelis and Nisha Nair. Their work appears in journals such as Journal of Chemical Information and Modeling, Scientific Reports, Lara D. Veeken, Journal of Computational Chemistry and Bioinformatics.
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.