Thaddeus C. George

1.3k total citations
19 papers, 1.0k citations indexed

About

Thaddeus C. George is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Thaddeus C. George has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Immunology and 3 papers in Oncology. Recurrent topics in Thaddeus C. George's work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (5 papers). Thaddeus C. George is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (5 papers) and T-cell and B-cell Immunology (5 papers). Thaddeus C. George collaborates with scholars based in United States, Australia and Argentina. Thaddeus C. George's co-authors include Janine Bilsborough, Anne M. Norment, Joanne L. Viney, Brian E. Hall, Olga Ornatsky, Dmitry Bandura, Scott D. Tanner, Philip Morrissey, Vladimir Baranov and David Basiji and has published in prestigious journals such as Blood, The Journal of Immunology and International Journal of Molecular Sciences.

In The Last Decade

Thaddeus C. George

19 papers receiving 1.0k citations

Peers

Thaddeus C. George
B. Angermann United States
Franziska Hoffmann Germany
Douglas C. Wilson United States
Thaddeus C. George United States
Vincent van Unen Netherlands
Liat Stoler‐Barak Israel
Caroline J. Gallant Sweden
Natalia Sigal United States
Qingyuan Zhu United States
Anu Cherukuri United States
B. Angermann United States
Thaddeus C. George
Citations per year, relative to Thaddeus C. George Thaddeus C. George (= 1×) peers B. Angermann

Countries citing papers authored by Thaddeus C. George

Since Specialization
Citations

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

Fields of papers citing papers by Thaddeus C. George

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thaddeus C. George

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

All Works

19 of 19 papers shown
1.
Ramirez, Arturo B., et al.. (2023). Circulating tumour cell enumeration, biomarker analyses, and kinetics in patients with colorectal cancer and other GI malignancies. Frontiers in Oncology. 13. 1305181–1305181. 8 indexed citations
2.
Buckley, Jonathan D., Dejerianne Ostrow, Bino Varghese, et al.. (2022). Non-Invasive Profiling of Advanced Prostate Cancer via Multi-Parametric Liquid Biopsy and Radiomic Analysis. International Journal of Molecular Sciences. 23(5). 2571–2571. 12 indexed citations
3.
Kaldjian, Eric, et al.. (2022). Beyond Circulating Tumor Cell Enumeration: Cell-Based Liquid Biopsy to Assess Protein Biomarkers and Cancer Genomics Using the RareCyte® Platform. Frontiers in Pharmacology. 13. 835727–835727. 8 indexed citations
4.
Tanner, Scott D., Vladimir Baranov, Olga Ornatsky, Dmitry Bandura, & Thaddeus C. George. (2013). An introduction to mass cytometry: fundamentals and applications. Cancer Immunology Immunotherapy. 62(5). 955–965. 123 indexed citations
5.
Mirabelli, Peppino, Giulia Scalia, Caterina Pascariello, et al.. (2012). ImageStream promyelocytic leukemia protein immunolocalization: In search of promyelocytic leukemia cells. Cytometry Part A. 81A(3). 232–237. 13 indexed citations
6.
Helguera, Gustavo, José A. Rodríguez, Rosendo Lurı́a-Pérez, et al.. (2011). Visualization and quantification of cytotoxicity mediated by antibodies using imaging flow cytometry. Journal of Immunological Methods. 368(1-2). 54–63. 12 indexed citations
7.
Santer, Deanna M., Brian E. Hall, Thaddeus C. George, et al.. (2010). C1q Deficiency Leads to the Defective Suppression of IFN-α in Response to Nucleoprotein Containing Immune Complexes. The Journal of Immunology. 185(8). 4738–4749. 104 indexed citations
8.
Heyde, Henri C. van der, Irene Gramaglia, Valéry Combes, Thaddeus C. George, & Georges E. Grau. (2010). Flow Cytometric Analysis of Microparticles. Methods in molecular biology. 699. 337–354. 27 indexed citations
9.
Vallhov, Helen, Cindy Gutzeit, Sara Johansson, et al.. (2010). Exosomes Containing Glycoprotein 350 Released by EBV-Transformed B Cells Selectively Target B Cells through CD21 and Block EBV Infection In Vitro. The Journal of Immunology. 186(1). 73–82. 118 indexed citations
10.
Ahmed, Fariyal, Sherree Friend, Thaddeus C. George, Natasha S. Barteneva, & Judy Lieberman. (2009). Numbers matter: Quantitative and dynamic analysis of the formation of an immunological synapse using imaging flow cytometry. Journal of Immunological Methods. 347(1-2). 79–86. 29 indexed citations
11.
George, Thaddeus C., et al.. (2009). High Throughput, Parallel Imaging and Biomarker Quantification of Human Spermatozoa by ImageStream Flow Cytometry. Systems Biology in Reproductive Medicine. 55(5-6). 244–251. 30 indexed citations
12.
Smith, James R., Rodica P. Bunaciu, Gudrun Reiterer, et al.. (2009). Retinoic acid induces nuclear accumulation of Raf1 during differentiation of HL-60 cells. Experimental Cell Research. 315(13). 2241–2248. 26 indexed citations
13.
George, Thaddeus C., et al.. (2009). Measurement of Cytoplasmic to Nuclear Translocation. Current Protocols in Cytometry. 47(1). 9.28.1–9.28.15. 7 indexed citations
14.
Danis, Bénédicte, Thaddeus C. George, Stanislas Goriely, et al.. (2008). Interferon regulatory factor 7‐mediated responses are defective in cord blood plasmacytoid dendritic cells. European Journal of Immunology. 38(2). 507–517. 80 indexed citations
15.
16.
Ortyn, William E., Brian E. Hall, Thaddeus C. George, et al.. (2006). Sensitivity measurement and compensation in spectral imaging. Cytometry Part A. 69A(8). 852–862. 88 indexed citations
17.
Morrissey, Philip, Thaddeus C. George, David Basiji, et al.. (2004). Cell Classification in Human Peripheral Blood Using the Amnis ImageStream® System.. Blood. 104(11). 3826–3826. 3 indexed citations
18.
George, Thaddeus C., Janine Bilsborough, Joanne L. Viney, & Anne M. Norment. (2003). High antigen dose and activated dendritic cells enable Th cells to escape regulatory T cell‐mediated suppression in vitro. European Journal of Immunology. 33(2). 502–511. 78 indexed citations
19.
Bilsborough, Janine, Thaddeus C. George, Anne M. Norment, & Joanne L. Viney. (2003). Mucosal CD8α+ DC, with a plasmacytoid phenotype, induce differentiation and support function of T cells with regulatory properties. Immunology. 108(4). 481–492. 181 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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