Anthony M. Pedley

1.6k total citations · 1 hit paper
18 papers, 1.2k citations indexed

About

Anthony M. Pedley is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Anthony M. Pedley has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Materials Chemistry. Recurrent topics in Anthony M. Pedley's work include Biochemical and Molecular Research (13 papers), Adenosine and Purinergic Signaling (7 papers) and RNA modifications and cancer (5 papers). Anthony M. Pedley is often cited by papers focused on Biochemical and Molecular Research (13 papers), Adenosine and Purinergic Signaling (7 papers) and RNA modifications and cancer (5 papers). Anthony M. Pedley collaborates with scholars based in United States, United Kingdom and China. Anthony M. Pedley's co-authors include Stephen J. Benkovic, Vidhi Pareek, Chung Yu Chan, Raymond Pugh, Xiaowei Zhuang, Jarrod B. French, Hong Zhao, Doory Kim, Sara A. Jones and Tony Jun Huang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Anthony M. Pedley

18 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

A New View into the Regulation of Purine Metabolism: The Purinosome

2016 429 citations Anthony M. Pedley, Stephen J. Benkovic Trends in Biochemical Sciences profile →

Peers

Anthony M. Pedley

PHYSI

EPIDE

ONCOL

Phyllis R. Strauss United States

Uno Johansson Sweden

Carmen G. Vallejo Spain

Qingfeng Liu China

Kristie L. Rose United States

J M Ruedi United States

Clifford Young Australia

Gregory Tombline United States

Jean C. Ingram United Kingdom

Hedeel I. Guy United States

Phyllis R. Strauss United States

Anthony M. Pedley

1.3k ×1.4

75 ×0.4

PHYSI

109 ×0.8

EPIDE

178 ×1.4

208 ×2.2

ONCOL

Citations per year, relative to Anthony M. Pedley Anthony M. Pedley (= 1×) peers Phyllis R. Strauss

Countries citing papers authored by Anthony M. Pedley

Since Specialization

Citations

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

Fields of papers citing papers by Anthony M. Pedley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony M. Pedley. 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 Anthony M. Pedley. The network helps show where Anthony M. Pedley may publish in the future.

Co-authorship network of co-authors of Anthony M. Pedley

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

All Works

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18 of 18 papers shown

Binder, M. & Anthony M. Pedley. (2023). The roles of molecular chaperones in regulating cell metabolism. FEBS Letters. 597(13). 1681–1701. 16 indexed citations

Pedley, Anthony M., et al.. (2022). Purine biosynthetic enzymes assemble into liquid-like condensates dependent on the activity of chaperone protein HSP90. Journal of Biological Chemistry. 298(5). 101845–101845. 27 indexed citations

Pedley, Anthony M., Vidhi Pareek, & Stephen J. Benkovic. (2022). The Purinosome: A Case Study for a Mammalian Metabolon. Annual Review of Biochemistry. 91(1). 89–106. 39 indexed citations

Pedley, Anthony M., et al.. (2020). Hypoxia drives the assembly of the multienzyme purinosome complex. Journal of Biological Chemistry. 295(28). 9551–9566. 44 indexed citations

Pareek, Vidhi, Anthony M. Pedley, & Stephen J. Benkovic. (2020). Human de novo purine biosynthesis. Critical Reviews in Biochemistry and Molecular Biology. 56(1). 1–16. 105 indexed citations

Hedglin, Mark, Mahesh Aitha, Anthony M. Pedley, & Stephen J. Benkovic. (2019). Replication protein A dynamically regulates monoubiquitination of proliferating cell nuclear antigen. Journal of Biological Chemistry. 294(13). 5157–5168. 22 indexed citations

Liu, Chunliang, Giselle M. Knudsen, Anthony M. Pedley, et al.. (2019). Mapping Post-Translational Modifications of de Novo Purine Biosynthetic Enzymes: Implications for Pathway Regulation. Journal of Proteome Research. 18(5). 2078–2087. 16 indexed citations

Pedley, Anthony M. & Stephen J. Benkovic. (2018). Detecting Purinosome Metabolon Formation with Fluorescence Microscopy. Methods in molecular biology. 1764. 279–289. 9 indexed citations

Chan, Chung Yu, Anthony M. Pedley, Doory Kim, et al.. (2018). Microtubule-directed transport of purine metabolons drives their cytosolic transit to mitochondria. Proceedings of the National Academy of Sciences. 115(51). 13009–13014. 60 indexed citations

10.

Pedley, Anthony M., Georgios Ioannis Karras, Xin Zhang, Susan Lindquist, & Stephen J. Benkovic. (2018). Role of HSP90 in the Regulation of de Novo Purine Biosynthesis. Biochemistry. 57(23). 3217–3221. 20 indexed citations

11.

Brown, Wells S., et al.. (2017). Selective Inhibition of STAT3 Phosphorylation Using a Nuclear-Targeted Kinase Inhibitor. ACS Chemical Biology. 12(9). 2371–2378. 12 indexed citations

12.

Pedley, Anthony M. & Stephen J. Benkovic. (2016). A New View into the Regulation of Purine Metabolism: The Purinosome. Trends in Biochemical Sciences. 42(2). 141–154. 429 indexed citations breakdown →

13.

French, Jarrod B., Sara A. Jones, Huayun Deng, et al.. (2016). Spatial colocalization and functional link of purinosomes with mitochondria. Science. 351(6274). 733–737. 177 indexed citations

14.

Zhao, Hong, Christopher Chiaro, Limin Zhang, et al.. (2015). Quantitative Analysis of Purine Nucleotides Indicates That Purinosomes Increase de Novo Purine Biosynthesis. Journal of Biological Chemistry. 290(11). 6705–6713. 95 indexed citations

15.

Chan, Chung Yu, Hong Zhao, Raymond Pugh, et al.. (2015). Purinosome formation as a function of the cell cycle. Proceedings of the National Academy of Sciences. 112(5). 1368–1373. 84 indexed citations

16.

Witucki, Laurie, et al.. (2015). Identification of FAK substrate peptides via colorimetric screening of a one-bead one-peptide combinatorial library. Journal of Peptide Science. 21(4). 302–311. 2 indexed citations

17.

Pedley, Anthony M., Markus A. Lill, & V. Jo Davisson. (2014). Flexibility of PCNA-Protein Interface Accommodates Differential Binding Partners. PLoS ONE. 9(7). e102481–e102481. 14 indexed citations

18.

Burgner, John W., et al.. (2014). Conformational changes involving ammonia tunnel formation and allosteric control in GMP synthetase. Archives of Biochemistry and Biophysics. 545. 22–32. 9 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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