Peter A. Hoyne

1.8k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Peter A. Hoyne is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter A. Hoyne has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter A. Hoyne's work include HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Peter A. Hoyne is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Peter A. Hoyne collaborates with scholars based in Australia, United States and Belgium. Peter A. Hoyne's co-authors include Colin W. Ward, Neil M. McKern, Thomas Garrett, Timothy E. Adams, Edouard C. Nice, Antony W. Burgess, Meizhen Lou, George O. Lovrecz, T C Elleman and Francesca Walker and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Peter A. Hoyne

9 papers receiving 1.1k citations

Hit Papers

Crystal Structure of a Truncated Epidermal Growth Factor ... 2002 2026 2010 2018 2002 200 400 600

Peers

Peter A. Hoyne
Gabriele Schaefer United States
Gur Pines Israel
M. Inoue Japan
Mariana Yaneva United States
Erez M. Bublil United States
Shannon Marshall United States
Gabriele Schaefer United States
Peter A. Hoyne
Citations per year, relative to Peter A. Hoyne Peter A. Hoyne (= 1×) peers Gabriele Schaefer

Countries citing papers authored by Peter A. Hoyne

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Hoyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter A. Hoyne

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

All Works

10 of 10 papers shown
1.
Ward, Colin W., Thomas Garrett, Neil M. McKern, et al.. (2013). The Structure of the Type 1 Insulin-Like Growth Factor Receptor. 1 indexed citations
2.
Shiell, Brian J., Mary Tachedjian, K. Bruce, et al.. (2007). Expression, purification and characterization of recombinant phospholipase B from Moraxella bovis with anomalous electrophoretic behavior. Protein Expression and Purification. 55(2). 262–272.
3.
Lou, Meizhen, Thomas Garrett, Neil M. McKern, et al.. (2006). The first three domains of the insulin receptor differ structurally from the insulin-like growth factor 1 receptor in the regions governing ligand specificity. Proceedings of the National Academy of Sciences. 103(33). 12429–12434. 103 indexed citations
4.
Johns, Terrance G., Timothy E. Adams, Jennifer R. Cochran, et al.. (2004). Identification of the Epitope for the Epidermal Growth Factor Receptor-specific Monoclonal Antibody 806 Reveals That It Preferentially Recognizes an Untethered Form of the Receptor. Journal of Biological Chemistry. 279(29). 30375–30384. 118 indexed citations
5.
Walker, Francesca, Suzanne G. Orchard, Robert N. Jorissen, et al.. (2004). CR1/CR2 Interactions Modulate the Functions of the Cell Surface Epidermal Growth Factor Receptor. Journal of Biological Chemistry. 279(21). 22387–22398. 74 indexed citations
6.
Garrett, Thomas, Neil M. McKern, Meizhen Lou, et al.. (2002). Crystal Structure of a Truncated Epidermal Growth Factor Receptor Extracellular Domain Bound to Transforming Growth Factor α. Cell. 110(6). 763–773. 603 indexed citations breakdown →
7.
Farn, Jacinta L., Richard A. Strugnell, Peter A. Hoyne, Wojtek P. Michalski, & Jan M. Tennent. (2001). Molecular Characterization of a Secreted Enzyme with Phospholipase B Activity from Moraxella bovis. Journal of Bacteriology. 183(22). 6717–6720. 44 indexed citations
8.
Elleman, T C, Teresa Domagała, Neil M. McKern, et al.. (2001). Identification of a Determinant of Epidermal Growth Factor Receptor Ligand-Binding Specificity Using a Truncated, High-Affinity Form of the Ectodomain. Biochemistry. 40(30). 8930–8939. 78 indexed citations
9.
Hoyne, Peter A., Leah Cosgrove, Neil M. McKern, et al.. (2000). High affinity insulin binding by soluble insulin receptor extracellular domain fused to a leucine zipper. FEBS Letters. 479(1-2). 15–18. 32 indexed citations
10.
Elleman, T C, Maurice J. Frenkel, Peter A. Hoyne, et al.. (2000). Mutational analysis of the N-linked glycosylation sites of the human insulin receptor. Biochemical Journal. 347(3). 771–779. 40 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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