Matthew P. McCormack

5.3k total citations
38 papers, 1.2k citations indexed

About

Matthew P. McCormack is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Matthew P. McCormack has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 15 papers in Molecular Biology and 14 papers in Hematology. Recurrent topics in Matthew P. McCormack's work include CAR-T cell therapy research (11 papers), Acute Lymphoblastic Leukemia research (11 papers) and Immune Cell Function and Interaction (10 papers). Matthew P. McCormack is often cited by papers focused on CAR-T cell therapy research (11 papers), Acute Lymphoblastic Leukemia research (11 papers) and Immune Cell Function and Interaction (10 papers). Matthew P. McCormack collaborates with scholars based in Australia, United Kingdom and United States. Matthew P. McCormack's co-authors include Terence H. Rabbitts, David J. Curtis, Stephen M. Jane, Thomas J. Gonda, A. Förster, Lesley Drynan, Richard Pannell, Lauren Young, Carolyn A. de Graaf and Rosalind Codrington and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Matthew P. McCormack

38 papers receiving 1.2k citations

Peers

Matthew P. McCormack
M. Dexter United Kingdom
P C Nowell United States
Judith Schütte United Kingdom
WM Roberts United States
Anna Kilbey United Kingdom
Matthew P. McCormack
Citations per year, relative to Matthew P. McCormack Matthew P. McCormack (= 1×) peers Sabine Herblot

Countries citing papers authored by Matthew P. McCormack

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P. McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew P. McCormack. 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 Matthew P. McCormack. The network helps show where Matthew P. McCormack may publish in the future.

Co-authorship network of co-authors of Matthew P. McCormack

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. McCormack. A scholar is included among the top collaborators of Matthew P. McCormack 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 Matthew P. McCormack. Matthew P. McCormack 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.
Tremblay, Cédric S., Feng Yan, Jacqueline Boyle, et al.. (2025). Targeting LMO2-induced autocrine FLT3 signaling to overcome chemoresistance in early T-cell precursor acute lymphoblastic leukemia. Leukemia. 39(3). 577–589. 2 indexed citations
2.
Wu, Dawei, Huilei Miao, Xiaoxue Ma, et al.. (2025). Natural killer cell therapy: the key to tackle the bottleneck of cell therapies against solid tumor?. Science Bulletin. 70(5). 630–633. 4 indexed citations
3.
Gao, Mingyuan, Angela Georgiou, Victor S. Lin, et al.. (2024). Potential impact of NOTCH1 activation on venetoclax sensitivity in chronic lymphocytic Leukaemia: In vitro insights and clinical implications. British Journal of Haematology. 205(4). 1389–1394. 1 indexed citations
4.
Alserihi, Raed, Christoffer Flensburg, Waruni Abeysekera, et al.. (2023). Overexpression of Lmo2 initiates T-lymphoblastic leukemia via impaired thymocyte competition. The Journal of Experimental Medicine. 220(6). 2 indexed citations
5.
Jackson, Jacob T., Stephen L. Nutt, & Matthew P. McCormack. (2023). The Haematopoietically-expressed homeobox transcription factor: roles in development, physiology and disease. Frontiers in Immunology. 14. 1197490–1197490. 4 indexed citations
6.
Shields, Benjamin J., Jacob T. Jackson, Raed Alserihi, et al.. (2021). T-ALL can evolve to oncogene independence. Leukemia. 35(8). 2205–2219. 4 indexed citations
7.
Scheer, Sebastian, Jacob T. Jackson, Soroor Hediyeh-zadeh, et al.. (2020). Hhex Directly Represses BIM-Dependent Apoptosis to Promote NK Cell Development and Maintenance. Cell Reports. 33(3). 108285–108285. 8 indexed citations
8.
Balic, Jesse J., et al.. (2020). STAT3-driven hematopoiesis and lymphopoiesis abnormalities are dependent on serine phosphorylation. Cytokine. 130. 155059–155059. 4 indexed citations
9.
Shields, Benjamin J., Christopher Slape, Jacob T. Jackson, et al.. (2019). The NUP98-HOXD13 fusion oncogene induces thymocyte self-renewal via Lmo2/Lyl1. Leukemia. 33(8). 1868–1880. 12 indexed citations
10.
Shields, Benjamin J., Andrew Keniry, Marnie E. Blewitt, & Matthew P. McCormack. (2018). Analysis of Histone Modifications in Acute Myeloid Leukaemia Using Chromatin Immunoprecipitation. Methods in molecular biology. 1725. 177–184. 1 indexed citations
11.
Ginn, Samantha L., Claus V. Hallwirth, Sophia H.Y. Liao, et al.. (2016). Limiting Thymic Precursor Supply Increases the Risk of Lymphoid Malignancy in Murine X-Linked Severe Combined Immunodeficiency. Molecular Therapy — Nucleic Acids. 6. 1–14. 21 indexed citations
12.
Shields, Benjamin J., Jacob T. Jackson, Donald Metcalf, et al.. (2016). Acute myeloid leukemia requires Hhex to enable PRC2-mediated epigenetic repression of Cdkn2a. Genes & Development. 30(1). 78–91. 22 indexed citations
13.
Alserihi, Raed, et al.. (2014). Hhex regulates Kit to promote radioresistance of self-renewing thymocytes in Lmo2-transgenic mice. Leukemia. 29(4). 927–938. 17 indexed citations
14.
McCormack, Matthew P., Benjamin J. Shields, Jacob T. Jackson, et al.. (2013). Requirement for Lyl1 in a model of Lmo2-driven early T-cell precursor ALL. Blood. 122(12). 2093–2103. 47 indexed citations
15.
McCormack, Matthew P., Lauren Young, Carolyn A. de Graaf, et al.. (2010). The Lmo2 Oncogene Initiates Leukemia in Mice by Inducing Thymocyte Self-Renewal. Science. 327(5967). 879–883. 171 indexed citations
16.
Salmon, Jessica M., Nicholas J. Slater, Mark A. Hall, et al.. (2007). Aberrant mast-cell differentiation in mice lacking the stem-cell leukemia gene. Blood. 110(10). 3573–3581. 24 indexed citations
17.
McCormack, Matthew P., Mark A. Hall, Simone M. Schoenwaelder, et al.. (2006). A critical role for the transcription factor Scl in platelet production during stress thrombopoiesis. Blood. 108(7). 2248–2256. 35 indexed citations
18.
Hall, Mark A., Nicholas J. Slater, C. Glenn Begley, et al.. (2005). Functional but Abnormal Adult Erythropoiesis in the Absence of the Stem Cell Leukemia Gene. Molecular and Cellular Biology. 25(15). 6355–6362. 42 indexed citations
19.
Förster, A., Richard Pannell, Lesley Drynan, et al.. (2003). Engineering de novo reciprocal chromosomal translocations associated with Mll to replicate primary events of human cancer. Cancer Cell. 3(5). 449–458. 104 indexed citations
20.
D’Andrea, Richard J., Duygu Dee Harrison-Findik, C M Butcher, et al.. (1998). Dysregulated hematopoiesis and a progressive neurological disorder induced by expression of an activated form of the human common beta chain in transgenic mice.. Journal of Clinical Investigation. 102(11). 1951–1960. 30 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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