George Shubinsky

844 total citations
29 papers, 649 citations indexed

About

George Shubinsky is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, George Shubinsky has authored 29 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Genetics and 6 papers in Hematology. Recurrent topics in George Shubinsky's work include Chronic Lymphocytic Leukemia Research (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Immune Cell Function and Interaction (5 papers). George Shubinsky is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Immune Cell Function and Interaction (5 papers). George Shubinsky collaborates with scholars based in Israel, United States and Germany. George Shubinsky's co-authors include Michael Schlesinger, Raoul Breitkreutz, Wulf Dröge, M. Lienhard Schmitz, Steffen P. Hehner, Klaus Schulze‐Osthoff, Simcha Urieli-Shoval, Yaacov Matzner, Mati Fridkin and Reinhold P. Linke and has published in prestigious journals such as Blood, Immunity and The Journal of Immunology.

In The Last Decade

George Shubinsky

28 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Shubinsky Israel 12 249 185 95 85 71 29 649
Monica Milani United States 13 158 0.6× 154 0.8× 123 1.3× 32 0.4× 13 0.2× 20 1.0k
Feiyu Zhang China 15 376 1.5× 103 0.6× 170 1.8× 221 2.6× 51 0.7× 61 1.0k
Parvathy Sasikumar United Kingdom 15 252 1.0× 111 0.6× 48 0.5× 149 1.8× 39 0.5× 26 746
Srikant Viswanadha United States 18 348 1.4× 131 0.7× 137 1.4× 68 0.8× 17 0.2× 65 795
Łukasz Sędek Poland 16 306 1.2× 114 0.6× 113 1.2× 181 2.1× 12 0.2× 59 771
Paola Finotti Italy 14 412 1.7× 124 0.7× 33 0.3× 37 0.4× 22 0.3× 39 670
Kuan-Lin Kuo Taiwan 17 401 1.6× 103 0.6× 212 2.2× 80 0.9× 17 0.2× 28 758
Zsolt Lőrincz Hungary 14 434 1.7× 101 0.5× 47 0.5× 41 0.5× 18 0.3× 33 746
Paresh Thakker United States 15 310 1.2× 360 1.9× 120 1.3× 24 0.3× 13 0.2× 25 918

Countries citing papers authored by George Shubinsky

Since Specialization
Citations

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

Fields of papers citing papers by George Shubinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Shubinsky

This figure shows the co-authorship network connecting the top 25 collaborators of George Shubinsky. A scholar is included among the top collaborators of George Shubinsky 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 George Shubinsky. George Shubinsky 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.
Nahum, Amit, et al.. (2022). Hyper IgM in tricho-hepato-enteric syndrome due to TTC37 mutation. Immunologic Research. 70(6). 775–780. 3 indexed citations
2.
Ling, Eduard, Arnon Broides, George Shubinsky, et al.. (2021). A novel zeta-associated protein 70 homozygous mutation causing combined immunodeficiency presenting as neonatal autoimmune hemolytic anemia. Immunologic Research. 69(1). 100–106.
3.
Nahum, Amit, Raz Somech, George Shubinsky, Jacov Levy, & Arnon Broides. (2020). Unusual phenotype in patients with a hypomorphic mutation in the DCLRE1C gene: IgG hypergammaglobulinemia with IgA and IgE deficiency. Clinical Immunology. 213. 108366–108366. 7 indexed citations
5.
Broides, Arnon, Jacov Levy, Baruch Yerushalmi, et al.. (2017). The clinical and laboratory spectrum of dedicator of cytokinesis 8 immunodeficiency syndrome in patients with a unique mutation. Immunologic Research. 65(3). 651–657. 11 indexed citations
6.
Gopas, Jacob, Eliahu Stern, George Shubinsky, et al.. (2016). Reed-Sternberg cells in Hodgkin’s lymphoma present features of cellular senescence. Cell Death and Disease. 7(11). e2457–e2457. 29 indexed citations
7.
Moser, Asher, et al.. (2015). A γ/δ T-cell Receptor Prolymphocytic Leukemia and CD4−/CD8− Double-negative Immunophenotype in a Pediatric Patient. Journal of Pediatric Hematology/Oncology. 37(4). e218–e219. 3 indexed citations
8.
Zelig, Udi, S. Mordechaǐ, George Shubinsky, et al.. (2011). Pre-screening and follow-up of childhood acute leukemia using biochemical infrared analysis of peripheral blood mononuclear cells. Biochimica et Biophysica Acta (BBA) - General Subjects. 1810(9). 827–835. 60 indexed citations
9.
Broides, Arnon, George Shubinsky, Ruti Parvari, et al.. (2009). MHC class 2 deficiency and X‐linked agammaglobulinaemia in a consanguineous extended family. International Journal of Immunogenetics. 36(4). 223–226. 2 indexed citations
10.
Shiyovich, Arthur, et al.. (2009). Agranulocytosis at First Presentation of Autoimmune Hepatitis Type-1. The American Journal of the Medical Sciences. 337(6). 466–469. 2 indexed citations
11.
Ling, Eduard, George Shubinsky, & Joseph Press. (2006). Increased proportion of CD3+CD4−CD8− double-negative T cells in peripheral blood of children with Behcet's disease. Autoimmunity Reviews. 6(4). 237–240. 21 indexed citations
12.
Kapelushnik, Joseph, et al.. (2005). Expression of CD24 on CD19−CD79a+ early B-cell progenitors in human bone marrow. Cellular Immunology. 236(1-2). 171–178. 14 indexed citations
14.
Rabinowitz, Ruth, et al.. (2001). Regulation of the Expression of CD45 Isoforms in the Farage Human B Cell Lymphoma Line and Its 10.6.1 Subline. Leukemia & lymphoma. 41(5-6). 643–654. 4 indexed citations
15.
Hehner, Steffen P., Raoul Breitkreutz, George Shubinsky, et al.. (2000). Enhancement of T Cell Receptor Signaling by a Mild Oxidative Shift in the Intracellular Thiol Pool. The Journal of Immunology. 165(8). 4319–4328. 134 indexed citations
16.
Dröge, Wulf, Volker Hack, Raoul Breitkreutz, et al.. (1998). Role of cysteine and glutathione in signal transduction, immunopathology and cachexia. BioFactors. 8(1-2). 97–102. 44 indexed citations
17.
Shubinsky, George & Michael Schlesinger. (1997). The CD38 Lymphocyte Differentiation Marker: New Insight into Its Ectoenzymatic Activity and Its Role as a Signal Transducer. Immunity. 7(3). 315–324. 103 indexed citations
18.
Shubinsky, George & Michael Schlesinger. (1996). The Mechanism of Interleukin 4-Induced Down-Regulation of CD38 on Human B Cells. Cellular Immunology. 173(1). 87–95. 16 indexed citations
19.
Shubinsky, George & Michael Schlesinger. (1994). Kinetics of the Pleiotropic Effect of Interleukin 4 on the Surface Properties of Human B-Lymphoma Cells. Leukemia & lymphoma. 15(3-4). 333–340. 5 indexed citations
20.
Shubinsky, George & M. Schlesinger. (1994). The effects of interleukin 4 on the cell cycle of a human B‐cell lymphoma line. Cell Proliferation. 27(8). 489–499. 1 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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