Matthew G. Rees

11.1k total citations
38 papers, 791 citations indexed

About

Matthew G. Rees is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Matthew G. Rees has authored 38 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Surgery and 4 papers in Genetics. Recurrent topics in Matthew G. Rees's work include Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Protein Degradation and Inhibitors (4 papers). Matthew G. Rees is often cited by papers focused on Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (7 papers) and Protein Degradation and Inhibitors (4 papers). Matthew G. Rees collaborates with scholars based in United States, United Kingdom and Austria. Matthew G. Rees's co-authors include Anna L. Gloyn, Anne Raimondo, Jennifer A. Roth, Stefania Gagliardi, C Farina, Francis S. Collins, Melissa M. Ronan, Nicola L. Beer, Jaime H. Cheah and Simone Baltrusch and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

Matthew G. Rees

34 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew G. Rees United States 15 389 145 108 103 96 38 791
Katrin Streckfuß‐Bömeke Germany 20 1.0k 2.7× 219 1.5× 135 1.3× 50 0.5× 39 0.4× 56 1.5k
Cathérine Ghezzi France 19 482 1.2× 156 1.1× 41 0.4× 93 0.9× 40 0.4× 95 1.5k
Chenyang Zhang China 16 371 1.0× 105 0.7× 44 0.4× 35 0.3× 53 0.6× 39 939
Mingxia Ding China 15 461 1.2× 138 1.0× 32 0.3× 34 0.3× 41 0.4× 51 773
Yumin Oh United States 18 485 1.2× 41 0.3× 38 0.4× 139 1.3× 67 0.7× 29 1.2k
Yubing Chen China 12 188 0.5× 50 0.3× 73 0.7× 53 0.5× 47 0.5× 24 602
Emma J. Parkinson-Lawrence Australia 19 390 1.0× 71 0.5× 35 0.3× 207 2.0× 58 0.6× 45 1.0k
Chuang Chen China 19 455 1.2× 85 0.6× 101 0.9× 91 0.9× 53 0.6× 85 1.3k
Jinfang Liao United States 12 617 1.6× 102 0.7× 162 1.5× 89 0.9× 64 0.7× 21 959
Alessandra Rossini Italy 22 591 1.5× 250 1.7× 25 0.2× 40 0.4× 46 0.5× 50 1.2k

Countries citing papers authored by Matthew G. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew G. Rees

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Rees. A scholar is included among the top collaborators of Matthew G. Rees 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 G. Rees. Matthew G. Rees 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.
Li, Wencheng, Ralph B. D’Agostino, Matthew G. Rees, et al.. (2025). CF10 Displayed Improved Activity Relative to 5-FU in a Mouse CRLM Model Under Conditions of Physiological Folate. Cancers. 17(17). 2739–2739.
2.
Garcia-Rivera, Enrique, Dylan C. Mitchell, Joel M. Chick, et al.. (2025). Highly specific intracellular ubiquitination of a small molecule. Nature Chemical Biology. 1 indexed citations
3.
Lee, Hyang Yeon, Kristine M. Abo, Matthew G. Rees, et al.. (2025). Identification of a Selective Anticancer Agent from a Collection of Complex-And-Diverse Compounds Synthesized from Stevioside. Journal of the American Chemical Society. 147(12). 10647–10661. 4 indexed citations
4.
5.
Hwang, Grace H., Maria F. Pazyra‐Murphy, Hyuk‐Soo Seo, et al.. (2024). A Benzarone Derivative Inhibits EYA to Suppress Tumor Growth in SHH Medulloblastoma. Cancer Research. 84(6). 872–886. 2 indexed citations
6.
Thatikonda, Venu, Verena Supper, Johannes Wachter, et al.. (2024). Genetic dependencies associated with transcription factor activities in human cancer cell lines. Cell Reports. 43(5). 114175–114175.
7.
Kostyrko, Kaja, Matthew G. Rees, Melissa M. Ronan, et al.. (2024). Abstract 6564: SOS1 inhibitor treatment improves response to Venetoclax in acute myeloid leukemia. Cancer Research. 84(6_Supplement). 6564–6564. 1 indexed citations
8.
Tedeschi, Antonio, Fiorella Schischlik, Francesca Rocchetti, et al.. (2024). Pan-KRAS Inhibitors BI-2493 and BI-2865 Display Potent Antitumor Activity in Tumors with KRAS Wild-type Allele Amplification. Molecular Cancer Therapeutics. 24(4). 550–562. 1 indexed citations
9.
Reis, Joana, Christoph Gorgulla, Sérgio Valente, et al.. (2023). Targeting ROS production through inhibition of NADPH oxidases. Nature Chemical Biology. 19(12). 1540–1550. 35 indexed citations
10.
Skinner, Owen S., Russell P. Goodman, Akinori Kawakami, et al.. (2023). Salvage of ribose from uridine or RNA supports glycolysis in nutrient-limited conditions. Nature Metabolism. 5(5). 765–776. 49 indexed citations
11.
Fleming, Andrew M., Hyea Jin Gil, Andrew S. Boghossian, et al.. (2023). Oncogenic Cells of Renal Embryonic Lineage Sensitive to the Small-Molecule Inhibitor QC6352 Display Depletion of KDM4 Levels and Disruption of Ribosome Biogenesis. Molecular Cancer Therapeutics. 23(4). 478–491. 1 indexed citations
12.
Kocak, Mustafa, et al.. (2023). Abstract PR004: PRISM high-throughput screening of antibody-drug conjugates uncovers clinically relevant targets. Molecular Cancer Therapeutics. 22(12_Supplement). PR004–PR004. 1 indexed citations
13.
Rees, Matthew G., Lisa Brenan, Patrick Duggan, et al.. (2022). Systematic identification of biomarker-driven drug combinations to overcome resistance. Nature Chemical Biology. 18(6). 615–624. 9 indexed citations
14.
Boehnke, Natalie, Joelle P. Straehla, Hannah C. Safford, et al.. (2022). Massively parallel pooled screening reveals genomic determinants of nanoparticle delivery. Science. 377(6604). eabm5551–eabm5551. 136 indexed citations
15.
Lee, Sooncheol, Xiaoyun Wu, Colin W. Garvie, et al.. (2022). Velcrin-induced selective cleavage of tRNALeu(TAA) by SLFN12 causes cancer cell death. Nature Chemical Biology. 19(3). 301–310. 25 indexed citations
16.
Rees, Matthew G., Brinton Seashore‐Ludlow, & Paul A. Clemons. (2018). Computational Analyses Connect Small-Molecule Sensitivity to Cellular Features Using Large Panels of Cancer Cell Lines. Methods in molecular biology. 1888. 233–254. 2 indexed citations
17.
Rees, Matthew G., Mindy I. Davis, Min Shen, et al.. (2014). A Panel of Diverse Assays to Interrogate the Interaction between Glucokinase and Glucokinase Regulatory Protein, Two Vital Proteins in Human Disease. PLoS ONE. 9(2). e89335–e89335. 5 indexed citations
18.
Rees, Matthew G., Anne Raimondo, Jian Wang, et al.. (2014). Inheritance of rare functional GCKR variants and their contribution to triglyceride levels in families. Human Molecular Genetics. 23(20). 5570–5578. 19 indexed citations
19.
Stefanovski, Darko, Jang H. Youn, Matthew G. Rees, et al.. (2012). Estimating Hepatic Glucokinase Activity Using a Simple Model of Lactate Kinetics. Diabetes Care. 35(5). 1015–1020. 18 indexed citations
20.
Rees, Matthew G., David Ng, Clesson Turner, et al.. (2011). Correlation of rare coding variants in the gene encoding human glucokinase regulatory protein with phenotypic, cellular, and kinetic outcomes. Journal of Clinical Investigation. 122(1). 205–217. 36 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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