Piotr Kraj

1.8k total citations
34 papers, 1.4k citations indexed

About

Piotr Kraj is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Piotr Kraj has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 11 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Piotr Kraj's work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (21 papers) and Immunotherapy and Immune Responses (14 papers). Piotr Kraj is often cited by papers focused on T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (21 papers) and Immunotherapy and Immune Responses (14 papers). Piotr Kraj collaborates with scholars based in United States, China and Poland. Piotr Kraj's co-authors include Leszek Ignatowicz, Rafał Pacholczyk, Michal Kuczma, Grzegorz A. Rempała, Paweł Kisielow, Anna Cebula, Richard McIndoe, Timothy L. Denning, L. E. Silberstein and Michał Seweryn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Piotr Kraj

34 papers receiving 1.4k 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 Kraj United States 18 1.1k 328 200 108 99 34 1.4k
Guo‐Min Deng China 19 923 0.9× 304 0.9× 158 0.8× 185 1.7× 46 0.5× 41 1.4k
Jeroen van Bergen Netherlands 28 1.3k 1.2× 253 0.8× 202 1.0× 99 0.9× 128 1.3× 51 2.0k
Iris Castro United States 19 900 0.8× 406 1.2× 425 2.1× 72 0.7× 92 0.9× 27 1.5k
Jonathan Shupe United States 5 1.3k 1.2× 197 0.6× 133 0.7× 154 1.4× 67 0.7× 5 1.5k
Takahiro Uehara Japan 15 889 0.8× 365 1.1× 181 0.9× 82 0.8× 60 0.6× 17 1.4k
Louise Berg Sweden 25 916 0.9× 226 0.7× 157 0.8× 120 1.1× 73 0.7× 44 1.4k
Brian Crain United States 17 587 0.6× 259 0.8× 169 0.8× 80 0.7× 75 0.8× 31 976
Theresa Truitt United States 10 1.0k 1.0× 255 0.8× 356 1.8× 121 1.1× 100 1.0× 10 1.4k
Janet F. Piskurich United States 24 1.2k 1.2× 392 1.2× 300 1.5× 90 0.8× 68 0.7× 35 1.6k
H Yagita Japan 20 1.2k 1.1× 446 1.4× 205 1.0× 67 0.6× 82 0.8× 48 1.7k

Countries citing papers authored by Piotr Kraj

Since Specialization
Citations

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

Fields of papers citing papers by Piotr Kraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piotr Kraj

This figure shows the co-authorship network connecting the top 25 collaborators of Piotr Kraj. A scholar is included among the top collaborators of Piotr Kraj 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 Kraj. Piotr Kraj 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.
Kraj, Piotr. (2022). Bone Morphogenetic Proteins Shape Treg Cells. Frontiers in Immunology. 13. 865546–865546. 10 indexed citations
2.
Kraj, Piotr. (2021). Bone Morphogenic Protein Signaling and Melanoma. Current Treatment Options in Oncology. 22(6). 48–48. 5 indexed citations
3.
Mao, Rui, Haitao Liu, Sharad Purohit, et al.. (2019). Cell-based high throughput screening identified a novel compound that promotes regulatory T cells and prevents autoimmune colitis. Biochemical Pharmacology. 169. 113618–113618. 2 indexed citations
4.
Heller, Loreé C., Piotr Kraj, Michel Ledizet, et al.. (2017). Coordination of different ligands to copper(II) and cobalt(III) metal centers enhances Zika virus and dengue virus loads in both arthropod cells and human keratinocytes. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(1). 40–50. 8 indexed citations
5.
Kuczma, Michal & Piotr Kraj. (2015). Bone Morphogenetic Protein Signaling Regulates Development and Activation of CD4+ T Cells. Vitamins and hormones. 99. 171–193. 5 indexed citations
6.
Kuczma, Michal, et al.. (2013). Modulation of bone morphogenic protein signaling in T-cells for cancer immunotherapy. Journal of Immunotoxicology. 11(4). 319–327. 16 indexed citations
7.
Mao, Rui, Wei Xiao, Haitao Liu, et al.. (2013). Systematic evaluation of 640 FDA drugs for their effect on CD4+Foxp3+ regulatory T cells using a novel cell-based high throughput screening assay. Biochemical Pharmacology. 85(10). 1513–1524. 21 indexed citations
8.
Kuczma, Michal, et al.. (2010). Intratumoral Convergence of the TCR Repertoires of Effector and Foxp3+ CD4+ T cells. PLoS ONE. 5(10). e13623–e13623. 13 indexed citations
9.
Kuczma, Michal, et al.. (2009). TCR Repertoire and Foxp3 Expression Define Functionally Distinct Subsets of CD4+ Regulatory T Cells. The Journal of Immunology. 183(5). 3118–3129. 25 indexed citations
10.
Kuczma, Michal, Robert H. Podolsky, Nikhil Garge, et al.. (2009). Foxp3-Deficient Regulatory T Cells Do Not Revert into Conventional Effector CD4+ T Cells but Constitute a Unique Cell Subset. The Journal of Immunology. 183(6). 3731–3741. 41 indexed citations
11.
Kraj, Piotr, Ashok Sharma, Nikhil Garge, Robert H. Podolsky, & Richard McIndoe. (2008). ParaKMeans: Implementation of a parallelized K-means algorithm suitable for general laboratory use. BMC Bioinformatics. 9(1). 200–200. 20 indexed citations
12.
Pacholczyk, Rafał, et al.. (2007). Nonself-Antigens Are the Cognate Specificities of Foxp3+ Regulatory T Cells. Immunity. 27(3). 493–504. 163 indexed citations
13.
Pacholczyk, Rafał, et al.. (2006). Origin and T Cell Receptor Diversity of Foxp3+CD4+CD25+ T Cells. Immunity. 25(2). 249–259. 246 indexed citations
14.
Pacholczyk, Rafał, Piotr Kraj, & Leszek Ignatowicz. (2002). Peptide Specificity of Thymic Selection of CD4+CD25+ T Cells. The Journal of Immunology. 168(2). 613–620. 80 indexed citations
15.
Kraj, Piotr, Rafał Pacholczyk, & Leszek Ignatowicz. (2001). αβTCRs Differ in the Degree of Their Specificity for the Positively Selecting MHC/Peptide Ligand. The Journal of Immunology. 166(4). 2251–2259. 16 indexed citations
16.
Pacholczyk, Rafał, Piotr Kraj, & Leszek Ignatowicz. (2001). An Incremental Increase in the Complexity of Peptides Bound to Class II MHC Changes the Diversity of Positively Selected αβ TCRs. The Journal of Immunology. 166(4). 2357–2363. 10 indexed citations
17.
Kraj, Piotr, et al.. (2001). Positive Selection of Cd4+ T Cells Is Induced in Vivo by Agonist and Inhibited by Antagonist Peptides. The Journal of Experimental Medicine. 194(4). 407–416. 26 indexed citations
18.
Kraj, Piotr, Sambasiva P. Rao, Annuska M. Glas, et al.. (1997). The human heavy chain Ig V region gene repertoire is biased at all stages of B cell ontogeny, including early pre-B cells. The Journal of Immunology. 158(12). 5824–5832. 86 indexed citations
19.
Biggs, David D., Piotr Kraj, J Goldman, et al.. (1995). Immunoglobulin gene sequence analysis to further assess B-cell origin of multiple myeloma. Clinical and Diagnostic Laboratory Immunology. 2(1). 44–52. 10 indexed citations
20.
Kraj, Piotr, David F. Friedman, Freda K. Stevenson, & L. E. Silberstein. (1995). Evidence for the overexpression of the VH4-34 ( VH4.21 ) Ig gene segment in the normal adult human peripheral blood B cell repertoire.. The Journal of Immunology. 154(12). 6406–6420. 66 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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