Matthew C. Stubbs

3.0k total citations · 1 hit paper
45 papers, 1.9k citations indexed

About

Matthew C. Stubbs is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Matthew C. Stubbs has authored 45 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 21 papers in Hematology and 9 papers in Oncology. Recurrent topics in Matthew C. Stubbs's work include Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (15 papers) and Histone Deacetylase Inhibitors Research (10 papers). Matthew C. Stubbs is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (15 papers) and Histone Deacetylase Inhibitors Research (10 papers). Matthew C. Stubbs collaborates with scholars based in United States, Netherlands and Tunisia. Matthew C. Stubbs's co-authors include Scott A. Armstrong, Andrei V. Krivtsov, Joerg Faber, D. Gary Gilliland, David Twomey, Jason Levine, Jing Wang, William C. Hahn, Yingzi Wang and Todd R. Golub and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Blood.

In The Last Decade

Matthew C. Stubbs

43 papers receiving 1.8k citations

Hit Papers

Transformation from committed progenitor to leukaemia ste... 2006 2026 2012 2019 2006 250 500 750 1000

Peers

Matthew C. Stubbs
Zhaohui Feng United States
Jordan Blum United States
Camille Lobry United States
John Nip United States
Zhaohui Feng United States
Matthew C. Stubbs
Citations per year, relative to Matthew C. Stubbs Matthew C. Stubbs (= 1×) peers Zhaohui Feng

Countries citing papers authored by Matthew C. Stubbs

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Stubbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew C. Stubbs

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Stubbs. A scholar is included among the top collaborators of Matthew C. Stubbs 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 C. Stubbs. Matthew C. Stubbs 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.
Whiteside, Theresa L., Sarita Sehra, Manti Guha, et al.. (2025). Assessment of CD73 activity in breast cancer-derived small extracellular vesicles: application to monitoring of patients’ responses to immunotherapy. Immuno-Oncology Technology. 26. 101052–101052. 1 indexed citations
2.
Arulkumaran, Nishkantha, Mari Thomas, Matthew C. Stubbs, et al.. (2024). A randomised controlled trial of plasma exchange compared to standard of care in the treatment of severe COVID-19 infection (COVIPLEX). Scientific Reports. 14(1). 16876–16876. 1 indexed citations
3.
Monteith, Andrew J., Haley E. Ramsey, Alexander J. Silver, et al.. (2024). Lactate Utilization Enables Metabolic Escape to Confer Resistance to BET Inhibition in Acute Myeloid Leukemia. Cancer Research. 84(7). 1101–1114. 6 indexed citations
4.
Wilson, William C., Andrew L. Young, Eunice S. Wang, et al.. (2024). BIRC5 upregulation enhances DNMT3A-mutant T-ALL cell survival and pathogenesis. PubMed. 1(4). 100040–100040. 1 indexed citations
5.
Ramsey, Haley E., Kristy R. Stengel, Agnieszka E. Gorska, et al.. (2021). Selective Inhibition of JAK1 Primes STAT5-Driven Human Leukemia Cells for ATRA-Induced Differentiation. Targeted Oncology. 16(5). 663–674. 1 indexed citations
6.
Ramsey, Haley E., Susu Zhang, Maria P. Arrate, et al.. (2020). BET Inhibition Enhances the Antileukemic Activity of Low-dose Venetoclax in Acute Myeloid Leukemia. Clinical Cancer Research. 27(2). 598–607. 15 indexed citations
7.
Ramsey, Haley E., Qi Liu, Jing Wang, et al.. (2020). Nascent transcript and single-cell RNA-seq analysis defines the mechanism of action of the LSD1 inhibitor INCB059872 in myeloid leukemia. Gene. 752. 144758–144758. 20 indexed citations
8.
Mazzacurati, Lucia, Robert J. Collins, Ling Zhang, et al.. (2019). The pan-PIM inhibitor INCB053914 displays potent synergy in combination with ruxolitinib in models of MPN. Blood Advances. 3(22). 3503–3514. 21 indexed citations
9.
Wilson, Andrew J., Matthew C. Stubbs, Phillip Liu, Bruce Ruggeri, & Dineo Khabele. (2018). The BET inhibitor INCB054329 reduces homologous recombination efficiency and augments PARP inhibitor activity in ovarian cancer. Gynecologic Oncology. 149(3). 575–584. 88 indexed citations
10.
Stubbs, Matthew C., Robert J. Collins, Leslie Hall, et al.. (2017). Abstract 143: Preclinical studies on potential therapeutic combination partners for the potent and selective PI3Kδ inhibitor INCB050465 in DLBCL. Cancer Research. 77(13_Supplement). 143–143. 1 indexed citations
11.
Stubbs, Matthew C., Won-Il Kim, Tina Davis, et al.. (2015). Selective Inhibition of HDAC1 and HDAC2 as a Potential Therapeutic Option for B-ALL. Clinical Cancer Research. 21(10). 2348–2358. 59 indexed citations
12.
Krivtsov, Andrei V., María E. Figueroa, Amit Sinha, et al.. (2012). Cell of origin determines clinically relevant subtypes of MLL-rearranged AML. Leukemia. 27(4). 852–860. 150 indexed citations
13.
Stubbs, Matthew C. & Scott A. Armstrong. (2007). FLT3 as a Therapeutic Target in Childhood Acute Leukemia. Current Drug Targets. 8(6). 703–714. 11 indexed citations
14.
Stubbs, Matthew C., Yong‐Mi Kim, Andrei V. Krivtsov, et al.. (2007). MLL-AF9 and FLT3 cooperation in acute myelogenous leukemia: development of a model for rapid therapeutic assessment. Leukemia. 22(1). 66–77. 81 indexed citations
15.
Krivtsov, Andrei V., David Twomey, Zhaohui Feng, et al.. (2006). Transformation from committed progenitor to leukaemia stem cell initiated by MLL–AF9. Nature. 442(7104). 818–822. 1047 indexed citations breakdown →
16.
Chung, Yuen‐Li, Helen Troy, Ian Judson, et al.. (2003). Pharmacokinetic measurements of a 5FU pro-drug, capecitabine, in bladder tumours over-expressing thymidine phosphorylase. Clinical Cancer Research. 9. 2 indexed citations
17.
Stubbs, Matthew C. & David J. Hall. (2002). The amino-terminus of the E2F-1 transcription factor inhibits DNA replication of autonomously replicating plasmids in mammalian cells. Oncogene. 21(23). 3715–3726. 4 indexed citations
18.
Stubbs, Matthew C., et al.. (2000). The ZF87/MAZ transcription factor functions as a growth suppressor in fibroblasts. Biochemistry and Cell Biology. 78(4). 477–485. 6 indexed citations
19.
Izzo, Marc W., et al.. (1999). Transcriptional Repression from the c-myc P2 Promoter by the Zinc Finger Protein ZF87/MAZ. Journal of Biological Chemistry. 274(27). 19498–19506. 42 indexed citations
20.
Stubbs, Matthew C., et al.. (1999). An Early S Phase Checkpoint Is Regulated by the E2F1 Transcription Factor. Biochemical and Biophysical Research Communications. 258(1). 77–80. 7 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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