J Pryjma
- Immunology top 2%
- Molecular Biology top 10%
- Epidemiology top 10%
- Oncology top 10%
- Infectious Diseases top 10%
- Co-authors
- Marek ZembalaMartin ErnstH.‐D. FladMałgorzata KajsturaH. Dorota HalickaZbigniew DarżynkiewiczEvelin Grage‐GriebenowJarosław Baran
- Topics
- Immune Response and Inflammation (22 papers)Immune Cell Function and Interaction (17 papers)T-cell and B-cell Immunology (17 papers)
- Partner nations
- PolandGermanyUnited States
In The Last Decade
J Pryjma
95 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Immunology 1.3k
- Molecular Biology 756
- Epidemiology 323
- Oncology 296
- Infectious Diseases 235
Countries citing papers authored by J Pryjma
This map shows the geographic impact of J Pryjma'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 J Pryjma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Pryjma more than expected).
Fields of papers citing papers by J Pryjma
This network shows the impact of papers produced by J Pryjma. 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 J Pryjma. The network helps show where J Pryjma may publish in the future.
Co-authorship network of co-authors of J Pryjma
This figure shows the co-authorship network connecting the top 25 collaborators of J Pryjma. A scholar is included among the top collaborators of J Pryjma 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 J Pryjma. J Pryjma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 92 | |
| 4 | 254 | |
| 5 | 15 | |
| 6 | 111 | |
| 7 | Produkcja cytokin typu Th1 i Th2 przez aktywowane jednojądrzaste komórki krwi obwodowej ($PBMC_{s}$) u pacjentów z atopowym zapaleniem skóry : związek ze stanem klinicznym i kolonizacją skóry przez Staphylococcus aureus | 1 |
| 8 | 99 | |
| 9 | 55 | |
| 10 | 36 | |
| 11 | 19 | |
| 12 | 16 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | Proteins in bronchial secretion of children with chronic pulmonary diseases. I. Relation to clinical diagnosis. | 8 |
| 20 | Prolonged C3 depletion by cobra venom factor in thymus-deprived mice and its implication for the role of C3 as an essential second signal for B-cell triggering. | 53 |
About J Pryjma
J Pryjma is a scholar working on Immunology, Immunology and Allergy and Emergency Medical Services, having authored 98 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Response and Inflammation (22 papers), Immune Cell Function and Interaction (17 papers) and T-cell and B-cell Immunology (17 papers). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (161 citations) and Dermatology (126 citations). J Pryjma has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Marek Zembala, Martin Ernst, H.‐D. Flad, Małgorzata Kajstura, H. Dorota Halicka, Zbigniew Darżynkiewicz, Evelin Grage‐Griebenow, Jarosław Baran, Monika Bzowska and Joanna Skrzeczyńska-Moncznik. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.