Peter Day

1.2k total citations
29 papers, 985 citations indexed

About

Peter Day is a scholar working on Molecular Biology, Civil and Structural Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Peter Day has authored 29 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Civil and Structural Engineering and 6 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Peter Day's work include Receptor Mechanisms and Signaling (11 papers), Geotechnical Engineering and Analysis (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Peter Day is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Geotechnical Engineering and Analysis (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). Peter Day collaborates with scholars based in United States, South Africa and Estonia. Peter Day's co-authors include Philip Wedegaertner, Jeffrey Benovic, Christopher V. Carman, Alexey Pronin, Tohru Kozasa, Alfred G. Gilman, Rachel Sterne‐Marr, Brian K. Kobilka, Søren G. F. Rasmussen and J.J.G. Tesmer and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Peter Day

27 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Day United States 15 785 327 94 64 60 29 985
Jun-Ichi Goto Japan 14 460 0.6× 142 0.4× 40 0.4× 42 0.7× 23 0.4× 39 866
Shiro Kadowaki Japan 4 638 0.8× 262 0.8× 41 0.4× 148 2.3× 101 1.7× 4 946
Alexandre Beautrait Canada 13 473 0.6× 186 0.6× 36 0.4× 50 0.8× 47 0.8× 18 584
Michael Degtyarev United States 10 869 1.1× 222 0.7× 83 0.9× 206 3.2× 22 0.4× 13 1.1k
An De Bondt Belgium 18 579 0.7× 136 0.4× 57 0.6× 62 1.0× 13 0.2× 35 823
Linda Huang United States 17 973 1.2× 92 0.3× 52 0.6× 243 3.8× 24 0.4× 41 1.3k
Sylvain Foisy Canada 11 759 1.0× 53 0.2× 50 0.5× 34 0.5× 22 0.4× 18 1.2k
Bence Szalai Hungary 12 557 0.7× 99 0.3× 55 0.6× 30 0.5× 23 0.4× 21 975
Pierre Cau France 12 445 0.6× 150 0.5× 44 0.5× 40 0.6× 9 0.1× 23 805
Douglas A. Fisher United States 10 638 0.8× 101 0.3× 84 0.9× 105 1.6× 11 0.2× 16 915

Countries citing papers authored by Peter Day

Since Specialization
Citations

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

Fields of papers citing papers by Peter Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Day. 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 Peter Day. The network helps show where Peter Day may publish in the future.

Co-authorship network of co-authors of Peter Day

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Day. A scholar is included among the top collaborators of Peter Day 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 Peter Day. Peter Day 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.
Day, Peter, et al.. (2018). Endocrine Disruption: Current approaches for regulatory testing and assessment of plant protection products are fit for purpose. Toxicology Letters. 296. 10–22. 14 indexed citations
2.
Koker, Nico de & Peter Day. (2017). Assessment of reliability-based design for a spectrum of geotechnical design problems. Proceedings of the Institution of Civil Engineers - Geotechnical Engineering. 171(2). 147–159. 7 indexed citations
3.
Richter, Wito, et al.. (2013). β 1 ‐adrenergic receptor antagonists signal via PDE4 translocation. EMBO Reports. 14(3). 276–283. 17 indexed citations
4.
Chung, Ka Young, Peter Day, Gisselle A. Vélez-Ruiz, Roger K. Sunahara, & Brian K. Kobilka. (2013). Identification of GPCR-Interacting Cytosolic Proteins Using HDL Particles and Mass Spectrometry-Based Proteomic Approach. PLoS ONE. 8(1). e54942–e54942. 21 indexed citations
5.
Day, Peter, et al.. (2012). The effects of placement conditions on the quality of concrete in large-diameter bored piles. SHILAP Revista de lepidopterología. 54(2). 86–93.
6.
Whittington, Ruth, et al.. (2010). A device for separated and reversible co‐culture of cardiomyocytes. Biotechnology Progress. 26(4). 1164–1171. 4 indexed citations
7.
Jacobsz, S.W. & Peter Day. (2008). Are we getting what we pay for from geotechnical laboratories? : geotechnical engineering. 2008. 8–11. 1 indexed citations
8.
Richter, Wito, Peter Day, Rani Agrawal, et al.. (2008). Signaling from β1- and β2-adrenergic receptors is defined by differential interactions with PDE4. The EMBO Journal. 27(2). 384–393. 133 indexed citations
9.
Day, Peter, Søren G. F. Rasmussen, Charles Parnot, et al.. (2007). A monoclonal antibody for G protein–coupled receptor crystallography. Nature Methods. 4(11). 927–929. 102 indexed citations
10.
Day, Peter & Brian K. Kobilka. (2006). PDZ-domain arrays for identifying components of GPCR signaling complexes. Trends in Pharmacological Sciences. 27(10). 509–511. 4 indexed citations
11.
Day, Peter, J.J.G. Tesmer, Rachel Sterne‐Marr, et al.. (2004). Characterization of the GRK2 Binding Site of Gαq. Journal of Biological Chemistry. 279(51). 53643–53652. 47 indexed citations
12.
Day, Peter, Philip Wedegaertner, & Jeffrey Benovic. (2004). Analysis of G-Protein-Coupled Receptor Kinase RGS Homology Domains. Methods in enzymology on CD-ROM/Methods in enzymology. 390. 295–310. 18 indexed citations
13.
Sterne‐Marr, Rachel, J.J.G. Tesmer, Peter Day, et al.. (2003). G Protein-coupled Receptor Kinase 2/Gαq/11 Interaction. Journal of Biological Chemistry. 278(8). 6050–6058. 104 indexed citations
14.
Day, Peter, Christopher V. Carman, Rachel Sterne‐Marr, Jeffrey Benovic, & Philip Wedegaertner. (2003). Differential Interaction of GRK2 with Members of the Gαq Family. Biochemistry. 42(30). 9176–9184. 59 indexed citations
15.
Carman, Christopher V., Peter Day, Alexey Pronin, et al.. (1999). Selective Regulation of Gαq/11 by an RGS Domain in the G Protein-coupled Receptor Kinase, GRK2. Journal of Biological Chemistry. 274(48). 34483–34492. 275 indexed citations
16.
Zhang, Zhiming, et al.. (1998). Mediators of Estradiol-Stimulated Mitosis in the Rat Uterine Luminal Epithelium1. Endocrinology. 139(3). 961–966. 29 indexed citations
17.
Day, Peter, et al.. (1986). Construction on dolomite in south Africa. Environmental Geology. 8(1-2). 83–89. 5 indexed citations
18.
Day, Peter, et al.. (1985). Expansive soils : problem soils in South Africa - state of the art. 27(7). 367–401. 4 indexed citations
19.
Day, Peter. (1973). Decreasing rearrangements and doubly stochastic operators. Transactions of the American Mathematical Society. 178(0). 383–392. 18 indexed citations
20.
Day, Peter, et al.. (1972). Regularity of Group Valued Baire and Borel Measures. Proceedings of the American Mathematical Society. 36(2). 609–609. 1 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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