Jerzy Foerster
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Immune responses and vaccinations
Papers in
- Immunology 11
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
- Immunotherapy and Immune Responses 2
- Atherosclerosis and Cardiovascular Diseases 2
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- RNA Interference and Gene Delivery 2
- Co-authors
- Ewa Bryl (8 shared papers)Jolanta Myśliwska (9 shared papers)Andrzej Myśliwski (9 shared papers)Lucyna Kaszubowska (9 shared papers)Zbigniew Kmieć (7 shared papers)Jacek M. Witkowski (3 shared papers)Tomasz Ślebioda (3 shared papers)Jan Jacek Kaczor (4 shared papers)
In The Last Decade
Jerzy Foerster
22 papers receiving 309 citations
Peers
Comparison fields: 5 of 74
- Aging 13
- Immunology 142
- Biological Psychiatry 14
- Neurology 26
- Geriatrics and Gerontology 9
Countries citing papers authored by Jerzy Foerster
This map shows the geographic impact of Jerzy Foerster'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 Jerzy Foerster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerzy Foerster more than expected).
Fields of papers citing papers by Jerzy Foerster
This network shows the impact of papers produced by Jerzy Foerster. 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 Jerzy Foerster. The network helps show where Jerzy Foerster may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerzy Foerster, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 80 | |
| 2 | 1999 | 31 | |
| 3 | 2001 | 28 | |
| 4 | 2016 | 23 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2014 | 13 | |
| 8 | 2013 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 1992 | 11 | |
| 11 | 2015 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 1993 | 7 | |
| 16 | 2002 | 5 | |
| 17 | 2009 | 5 | |
| 18 | 2002 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2022 | 4 |
About Jerzy Foerster
Jerzy Foerster is a scholar working on Immunology, Molecular Biology, Epidemiology, Neurology and Cell Biology, having authored 22 papers that have together received 313 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Immunotherapy and Immune Responses (2 papers), Calpain Protease Function and Regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Aging (13 citations), Immunology (142 citations), Biological Psychiatry (14 citations), Neurology (26 citations) and Geriatrics and Gerontology (9 citations). Jerzy Foerster has collaborated with scholars based in Poland, Italy and Canada. Frequent co-authors include Ewa Bryl, Jolanta Myśliwska, Andrzej Myśliwski, Lucyna Kaszubowska, Zbigniew Kmieć, Jacek M. Witkowski, Tomasz Ślebioda, Jan Jacek Kaczor, Aleksandra Jasiulewicz and Agnieszka Daca. Their work appears in journals such as Immunity & Ageing, Mechanisms of Ageing and Development, Gerontology, Archives of Gerontology and Geriatrics and Journal of Immunological Methods.
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.