Jerzy Foerster

453 total citations
22 papers, 338 citations indexed

About

Jerzy Foerster is a scholar working on Immunology, Neurology and Molecular Biology. According to data from OpenAlex, Jerzy Foerster has authored 22 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 5 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Jerzy Foerster's work include Immune Cell Function and Interaction (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Exercise and Physiological Responses (3 papers). Jerzy Foerster is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Exercise and Physiological Responses (3 papers). Jerzy Foerster collaborates with scholars based in Poland, Italy and Canada. Jerzy Foerster's co-authors include Ewa Bryl, Andrzej Myśliwski, Jolanta Myśliwska, Lucyna Kaszubowska, Zbigniew Kmieć, Jacek M. Witkowski, Jan Jacek Kaczor, Tomasz Ślebioda, Jacek Bigda and Danuta Sosnowska and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Jerzy Foerster

22 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jerzy Foerster Poland 12 189 73 60 52 42 22 338
Lucyna Kaszubowska Poland 11 109 0.6× 109 1.5× 45 0.8× 105 2.0× 22 0.5× 20 325
Gustavo Gastão Davanzo Brazil 7 119 0.6× 160 2.2× 61 1.0× 53 1.0× 32 0.8× 12 383
Luis‐Fernando Perez Spain 8 82 0.4× 60 0.8× 104 1.7× 86 1.7× 42 1.0× 14 394
Joselyn Natasha Allen United States 7 188 1.0× 88 1.2× 110 1.8× 63 1.2× 29 0.7× 10 369
Rosalia Stecconi Italy 9 110 0.6× 94 1.3× 71 1.2× 63 1.2× 16 0.4× 10 403
Dave Martin United States 8 113 0.6× 59 0.8× 35 0.6× 39 0.8× 20 0.5× 9 328
Medi Adibzadeh Germany 9 333 1.8× 120 1.6× 95 1.6× 103 2.0× 33 0.8× 12 477
Virginia Kocieda United States 6 156 0.8× 165 2.3× 37 0.6× 32 0.6× 23 0.5× 7 406
Vincent Peng United States 10 240 1.3× 169 2.3× 40 0.7× 29 0.6× 46 1.1× 16 495
Amna Malik United Kingdom 8 57 0.3× 92 1.3× 94 1.6× 38 0.7× 18 0.4× 15 328

Countries citing papers authored by Jerzy Foerster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jerzy Foerster

This figure shows the co-authorship network connecting the top 25 collaborators of Jerzy Foerster. A scholar is included among the top collaborators of Jerzy Foerster 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 Jerzy Foerster. Jerzy Foerster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kaszubowska, Lucyna, et al.. (2024). Expression of a stress-inducible heme oxygenase-1 in NK cells is maintained in the process of human aging. Frontiers in Immunology. 15. 1398468–1398468. 2 indexed citations
2.
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Kaszubowska, Lucyna, Jerzy Foerster, & Zbigniew Kmieć. (2022). NKT-like (CD3 + CD56+) cells differ from T cells in expression level of cellular protective proteins and sensitivity to stimulation in the process of ageing. Immunity & Ageing. 19(1). 18–18. 9 indexed citations
4.
Foerster, Jerzy, et al.. (2022). Muscle pain and muscle weakness in COVID19 patients: Cross-talk with statins – Preliminary results. Biomedicine & Pharmacotherapy. 148. 112757–112757. 4 indexed citations
5.
Kaszubowska, Lucyna, et al.. (2019). NKT-like cells reveal higher than T lymphocytes expression of cellular protective proteins HSP70 and SOD2 and comparably increased expression of SIRT1 in the oldest seniors. Folia Histochemica et Cytobiologica. 56(4). 231–240. 15 indexed citations
6.
7.
Kaszubowska, Lucyna, et al.. (2018). NK cells of the oldest seniors represent constant and resistant to stimulation high expression of cellular protective proteins SIRT1 and HSP70. Immunity & Ageing. 15(1). 12–12. 14 indexed citations
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Kaszubowska, Lucyna, et al.. (2015). Optimal reference genes for qPCR in resting and activated human NK cells—Flow cytometric data correspond to qPCR gene expression analysis. Journal of Immunological Methods. 422. 125–129. 11 indexed citations
10.
Klatka, Maria, et al.. (2014). Treatment of Graves’ disease with methimazole in children alters the proliferation of Treg cells and CD3+ T lymphocytes. Folia Histochemica et Cytobiologica. 52(1). 69–77. 13 indexed citations
11.
Foerster, Jerzy, Aleksandra Jasiulewicz, Giuseppina Colonna‐Romano, et al.. (2013). Expression of calpain-calpastatin system (CCS) member proteins in human lymphocytes of young and elderly individuals; pilot baseline data for the CALPACENT project. Immunity & Ageing. 10(1). 27–27. 13 indexed citations
12.
Szmit, Ewa, Piotr Trzonkowski, Jolanta Myśliwska, Jerzy Foerster, & Andrzej Myśliwski. (2002). EX VIVO APOPTOTIC POTENTIAL OF PERIPHERAL BLOOD MONONUCLEAR CELLS OF THE ELDERLY HUMAN SUBJECT. Cell Biology International. 26(6). 517–527. 5 indexed citations
13.
Trzonkowski, Piotr, et al.. (2002). Lower percentage of CD8high+CD152+ but not CD8high+CD28+ T lymphocytes in the elderly may be reverted by interleukin 2 in vitro. Mechanisms of Ageing and Development. 123(9). 1283–1293. 4 indexed citations
14.
Myśliwski, Andrzej, Piotr Trzonkowski, Ewa Szmit, et al.. (2001). Anti-influenza vaccination changes expression of CD45 isoforms on peripheral blood NK cells of the elderly. Advances in experimental medicine and biology. 495. 311–314. 1 indexed citations
15.
Myśliwska, Jolanta, Ewa Bryl, Jerzy Foerster, & Andrzej Myśliwski. (1999). The upregulation of TNFα production is not a generalised phenomenon in the elderly between their sixth and seventh decades of life. Mechanisms of Ageing and Development. 107(1). 1–14. 31 indexed citations
16.
Myśliwska, Jolanta, Ewa Bryl, Jerzy Foerster, & Andrzej Myśliwski. (1998). Increase of interleukin 6 and decrease of interleukin 2 production during the ageing process are influenced by the health status. Mechanisms of Ageing and Development. 100(3). 313–328. 80 indexed citations
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18.
Myśliwski, Andrzej, et al.. (1993). Elderly high NK responders are characterized by intensive proliferative response to PHA and Con A and optimal health status. Archives of Gerontology and Geriatrics. 16(3). 199–205. 7 indexed citations
19.
Myśliwska, Jolanta, et al.. (1992). Level of NK cytotoxic activity in the elderly aged more than 80 years. Archives of Gerontology and Geriatrics. 15(1). 21–28. 11 indexed citations
20.
Myśliwska, Jolanta, Andrzej Myśliwski, Piotr Romanowski, et al.. (1992). Monocytes Are Responsible for Depressed Natural Killer (NK) Activity in both Young and Elderly Low NK Responders. Gerontology. 38(1-2). 41–49. 24 indexed citations

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.

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