Piotr Piotrowski

1.2k total citations
63 papers, 874 citations indexed

About

Piotr Piotrowski is a scholar working on Immunology, Rheumatology and Molecular Biology. According to data from OpenAlex, Piotr Piotrowski has authored 63 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 13 papers in Rheumatology and 12 papers in Molecular Biology. Recurrent topics in Piotr Piotrowski's work include Systemic Lupus Erythematosus Research (13 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Piotr Piotrowski is often cited by papers focused on Systemic Lupus Erythematosus Research (13 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Piotr Piotrowski collaborates with scholars based in Poland, United States and Czechia. Piotr Piotrowski's co-authors include Paweł P. Jagodzińśki, B. Anne Croy, Margarita Lianeri, Mariusz Wudarski, M Śmiałek, Antoni J. Dulęba, Marzena Olesińska, Amanda B. Cress, Anna Sokalska and R.H. Hopkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Piotr Piotrowski

53 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Piotr Piotrowski Poland 19 276 170 138 129 113 63 874
Shiliang Shen United States 14 160 0.6× 483 2.8× 104 0.8× 43 0.3× 162 1.4× 23 1.3k
Rick Kamps Netherlands 16 218 0.8× 495 2.9× 224 1.6× 18 0.1× 233 2.1× 26 1.1k
Stephen A. Butler United Kingdom 22 322 1.2× 416 2.4× 269 1.9× 23 0.2× 153 1.4× 51 1.3k
Joshua I. Warrick United States 22 115 0.4× 592 3.5× 59 0.4× 31 0.2× 54 0.5× 72 1.6k
Koichiro Higasa Japan 20 149 0.5× 794 4.7× 102 0.7× 40 0.3× 229 2.0× 72 1.4k
Marina Zweyer Italy 21 144 0.5× 697 4.1× 54 0.4× 37 0.3× 71 0.6× 62 1.4k
Bożena Szymańska Poland 15 180 0.7× 334 2.0× 29 0.2× 48 0.4× 40 0.4× 47 722
Fabio D’Amico Italy 17 244 0.9× 254 1.5× 42 0.3× 41 0.3× 56 0.5× 40 762
Vincenzo Guarcello United States 15 217 0.8× 282 1.7× 170 1.2× 17 0.1× 79 0.7× 31 872
F. vom Dorp Germany 24 237 0.9× 1.0k 6.0× 46 0.3× 55 0.4× 97 0.9× 86 1.9k

Countries citing papers authored by Piotr Piotrowski

Since Specialization
Citations

This map shows the geographic impact of Piotr Piotrowski'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 Piotr Piotrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piotr Piotrowski more than expected).

Fields of papers citing papers by Piotr Piotrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Piotr Piotrowski. 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 Piotr Piotrowski. The network helps show where Piotr Piotrowski may publish in the future.

Co-authorship network of co-authors of Piotr Piotrowski

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Piotrowski. A scholar is included among the top collaborators of Piotr Piotrowski 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 Piotr Piotrowski. Piotr Piotrowski 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.
2.
Piotrowski, Piotr, Mariusz Wudarski, Anna Sowińska, Marzena Olesińska, & Paweł P. Jagodzińśki. (2015). TNF-308G/A polymorphism and risk of systemic lupus erythematosus in the Polish population. Modern Rheumatology. 25(5). 719–723. 10 indexed citations
3.
4.
Piotrowski, Piotr, Margarita Lianeri, Mariusz Wudarski, Marzena Olesińska, & Paweł P. Jagodzińśki. (2012). Contribution of STAT4 gene single-nucleotide polymorphism to systemic lupus erythematosus in the Polish population. Molecular Biology Reports. 39(9). 8861–8866. 20 indexed citations
5.
Piotrowski, Piotr, Margarita Lianeri, Mariusz Wudarski, Marzena Olesińska, & Paweł P. Jagodzińśki. (2012). Contribution of toll-like receptor 9 gene single-nucleotide polymorphism to systemic lupus erythematosus. Rheumatology International. 33(5). 1121–1125. 19 indexed citations
6.
Piotrowski, Piotr, Margarita Lianeri, Marzena Olesińska, & Paweł P. Jagodzińśki. (2011). Prevalence of the NKG2D Thr72Ala polymorphism in patients with systemic lupus erythematosus. Molecular Biology Reports. 39(2). 1343–1347. 11 indexed citations
7.
Piotrowski, Piotr, Margarita Lianeri, Mariusz Wudarski, J K Łacki, & Paweł P. Jagodzińśki. (2010). CD24 Ala57Val gene polymorphism and the risk of systemic lupus erythematosus. Tissue Antigens. 75(6). 696–700. 14 indexed citations
8.
Sokalska, Anna, et al.. (2010). Statins Inhibit Growth of Human Theca-Interstitial Cells in PCOS and Non-PCOS Tissues Independently of Cholesterol Availability. The Journal of Clinical Endocrinology & Metabolism. 95(12). 5390–5394. 38 indexed citations
9.
Foyouzi, Nastaran, et al.. (2010). Antioxidants Induce Apoptosis of Rat Ovarian Theca-Interstitial Cells1. Biology of Reproduction. 84(1). 162–166. 16 indexed citations
10.
Piotrowski, Piotr, et al.. (2009). Role of Isoprenylation in Simvastatin-Induced Inhibition of Ovarian Theca-Interstitial Growth in the Rat1. Biology of Reproduction. 81(5). 850–855. 28 indexed citations
11.
Śmiałowska, Maria, Helena Domin, Barbara A. Zieba, et al.. (2009). Neuroprotective effects of neuropeptide Y-Y2 and Y5 receptor agonists in vitro and in vivo. Neuropeptides. 43(3). 235–249. 56 indexed citations
12.
Piotrowski, Piotr, Margarita Lianeri, Mariusz Wudarski, et al.. (2009). The CD3Z 844 T>A polymorphism within the 3′‐UTR of CD3Z confers increased risk of incidence of systemic lupus erythematosus. Tissue Antigens. 74(1). 68–72. 11 indexed citations
13.
Piotrowski, Piotr, et al.. (2008). Contribution of polymorphism in codon 72 of p53 gene to systemic lupus erythematosus in Poland. Lupus. 17(2). 148–151. 10 indexed citations
14.
Kwintkiewicz, Jakub, et al.. (2006). Mevastatin inhibits proliferation of rat ovarian theca–interstitial cells by blocking the mitogen-activated protein kinase pathway. Fertility and Sterility. 86(4). 1053–1058. 17 indexed citations
15.
Piotrowski, Piotr, Jakub Kwintkiewicz, Yasemin Seval, et al.. (2006). Statins Inhibit Growth of Human Endometrial Stromal Cells Independently of Cholesterol Availability1. Biology of Reproduction. 75(1). 107–111. 41 indexed citations
16.
Piotrowski, Piotr, et al.. (2005). Expression of human endogenous retrovirus clone 4-1 may correlate with blood plasma concentration of anti-U1 RNP and anti-Sm nuclear antibodies. Clinical Rheumatology. 24(6). 620–624. 36 indexed citations
17.
Piotrowski, Piotr. (2003). Cudzoziemcy na austriackim rynku pracy. Polityka Społeczna. 23–27.
18.
Szwaczkowski, T., et al.. (2000). Direct and maternal genetic and environmental effects for fertility and hatchability in laying hens. Archiv für Geflügelkunde. 64(3). 115–120. 20 indexed citations
19.
Piotrowski, Piotr & B. Anne Croy. (1996). Maternal Cells are Widely Distributed in Murine Fetuses in Utero1. Biology of Reproduction. 54(5). 1103–1110. 77 indexed citations
20.
Gajkowska, B, et al.. (1995). Neurotoxic effect of sodium tellurite in the rat temporal lobe. Acta Neurobiologiae Experimentalis. 55(3). 221–221. 2 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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