Matthew P. Torres

3.2k total citations · 1 hit paper
52 papers, 2.5k citations indexed

About

Matthew P. Torres is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Matthew P. Torres has authored 52 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Cell Biology and 8 papers in Physiology. Recurrent topics in Matthew P. Torres's work include Fungal and yeast genetics research (10 papers), Ubiquitin and proteasome pathways (9 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Matthew P. Torres is often cited by papers focused on Fungal and yeast genetics research (10 papers), Ubiquitin and proteasome pathways (9 papers) and Protein Kinase Regulation and GTPase Signaling (7 papers). Matthew P. Torres collaborates with scholars based in United States, Singapore and Canada. Matthew P. Torres's co-authors include David Kimelman, Jim Miller, Eagle Yi-Kung Huang, Randall T. Moon, Cynthia Yost, Katie L. Pennington, Christoph H. Borchers, Adam P. Lothrop, Stephen M. Fuchs and Hongjun Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Matthew P. Torres

51 papers receiving 2.5k citations

Hit Papers

The axis-inducing activity, stability, and subcellular di... 1996 2026 2006 2016 1996 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The axis-inducing activity, stability, and subcellular distribution of beta-catenin is regulated in Xenopus embryos by glycogen synthase kinase 3.
    1996 1.0k citations Matthew P. Torres et al. profile →

Peers

Matthew P. Torres
Hugo Lavoie Canada
Christopher Williams United Kingdom
Herman Slegers Belgium
Takashi Shinkawa Japan
Jacob Stewart-Ornstein United States
Dorothea Rutishauser Sweden
Teemu P. Miettinen United States
Liang Hong United States
Chang‐Deng Hu United States
Hugo Lavoie Canada
Matthew P. Torres
Citations per year, relative to Matthew P. Torres Matthew P. Torres (= 1×) peers Hugo Lavoie

Countries citing papers authored by Matthew P. Torres

Since Specialization
Citations

This map shows the geographic impact of Matthew P. Torres'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. Torres 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. Torres more than expected).

Fields of papers citing papers by Matthew P. Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Torres. A scholar is included among the top collaborators of Matthew P. Torres 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. Torres. Matthew P. Torres 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, Wei, et al.. (2024). Strain-dependent glutathionylation of fibronectin fibers impacts mechano-chemical behavior and primes an integrin switch. Nature Communications. 15(1). 8751–8751. 8 indexed citations
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Pennington, Katie L., et al.. (2022). The Integration of Proteome-Wide PTM Data with Protein Structural and Sequence Features Identifies Phosphorylations that Mediate 14-3-3 Interactions. Journal of Molecular Biology. 435(2). 167890–167890. 9 indexed citations
4.
Torres, Matthew P., et al.. (2022). Enhancing the Discovery of Functional Post-Translational Modification Sites with Machine Learning Models – Development, Validation, and Interpretation. Methods in molecular biology. 2499. 221–260. 2 indexed citations
5.
Kim, Hyo-Jung, et al.. (2021). Sod1 integrates oxygen availability to redox regulate NADPH production and the thiol redoxome. Proceedings of the National Academy of Sciences. 119(1). 50 indexed citations
6.
Pang, Yui Tik, et al.. (2021). Combinatorial phosphorylation modulates the structure and function of the G protein γ subunit in yeast. Science Signaling. 14(688). 5 indexed citations
7.
Konen, Jessica, Bhakti Dwivedi, Manali Rupji, et al.. (2019). Genetic heterogeneity within collective invasion packs drives leader and follower cell phenotypes. Journal of Cell Science. 132(19). 27 indexed citations
8.
Huard, Dustin J. E., et al.. (2019). Different Grp94 components interact transiently with the myocilin olfactomedin domain in vitro to enhance or retard its amyloid aggregation. Scientific Reports. 9(1). 12769–12769. 12 indexed citations
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Smalley, David M., Hyo-Jung Kim, Ryan C. Oliver, et al.. (2018). Both positional and chemical variables control in vitro proteolytic cleavage of a presenilin ortholog. Journal of Biological Chemistry. 293(13). 4653–4663. 10 indexed citations
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Torres, Matthew P.. (2016). Chapter Two - Heterotrimeric G Protein Ubiquitination as a Regulator of G Protein Signaling. Progress in molecular biology and translational science. 141. 57–83. 3 indexed citations
13.
Torres, Matthew P., et al.. (2016). Proteome-wide Structural Analysis of PTM Hotspots Reveals Regulatory Elements Predicted to Impact Biological Function and Disease. Molecular & Cellular Proteomics. 15(11). 3513–3528. 30 indexed citations
14.
Torres, Matthew P., et al.. (2015). Structural Analysis of PTM Hotspots (SAPH-ire) – A Quantitative Informatics Method Enabling the Discovery of Novel Regulatory Elements in Protein Families. Molecular & Cellular Proteomics. 14(8). 2285–2297. 34 indexed citations
15.
Lothrop, Adam P., Matthew P. Torres, & Stephen M. Fuchs. (2013). Deciphering post‐translational modification codes. FEBS Letters. 587(8). 1247–1257. 130 indexed citations
16.
Torres, Matthew P., et al.. (2011). Cell Cycle-dependent Phosphorylation and Ubiquitination of a G Protein α Subunit. Journal of Biological Chemistry. 286(23). 20208–20216. 21 indexed citations
17.
Torres, Matthew P., Michael J. Lee, Feng Ding, et al.. (2009). G Protein Mono-ubiquitination by the Rsp5 Ubiquitin Ligase. Journal of Biological Chemistry. 284(13). 8940–8950. 26 indexed citations
18.
Torres, Matthew P., et al.. (2009). Top-Down Proteomics on a High-field Fourier Transform Ion Cyclotron Resonance Mass Spectrometer. Methods in molecular biology. 492. 215–231. 8 indexed citations
19.
Hall, Mark C., Matthew P. Torres, Gottfried K. Schroeder, & Christoph H. Borchers. (2003). Mnd2 and Swm1 Are Core Subunits of the Saccharomyces cerevisiae Anaphase-promoting Complex. Journal of Biological Chemistry. 278(19). 16698–16705. 54 indexed citations
20.

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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