Amanda C. Hayward

8 total papers · 613 total citations
6 papers, 513 citations indexed

About

Amanda C. Hayward is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Amanda C. Hayward has authored 6 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Amanda C. Hayward's work include Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Amanda C. Hayward is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Pancreatic function and diabetes (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). Amanda C. Hayward collaborates with scholars based in United Kingdom, United States and Israel. Amanda C. Hayward's co-authors include Kenneth Siddle, B. Nave, Maria A. Soos, E M Bailyes, Peter R. Shepherd, Stephen O’Rahilly, Jonathan P. Whitehead, Anna Krook, Birgitte Ursø and Diane L. Cope and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Biochemical Journal.

In The Last Decade

Amanda C. Hayward

6 papers receiving 505 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Amanda C. Hayward 422 195 156 86 66 6 513
Dan Edwall 296 0.7× 247 1.3× 99 0.6× 65 0.8× 67 1.0× 10 546
Marie-Hélène Cuif 330 0.8× 142 0.7× 304 1.9× 86 1.0× 32 0.5× 8 516
Wendy Gitomer 355 0.8× 148 0.8× 156 1.0× 217 2.5× 86 1.3× 10 578
Solange Vischer 342 0.8× 120 0.6× 283 1.8× 126 1.5× 48 0.7× 6 582
Susanna Mac 252 0.6× 406 2.1× 194 1.2× 74 0.9× 36 0.5× 9 568
Jens Behrends 430 1.0× 109 0.6× 87 0.6× 62 0.7× 111 1.7× 9 566
Jackie Bodnar 385 0.9× 70 0.4× 112 0.7× 90 1.0× 123 1.9× 7 543
Jacqueline Beaudoin 396 0.9× 112 0.6× 136 0.9× 102 1.2× 53 0.8× 8 502
Susanne R. Keller 366 0.9× 120 0.6× 96 0.6× 71 0.8× 38 0.6× 9 553
Sarah Lambert-Langlais 312 0.7× 180 0.9× 176 1.1× 58 0.7× 138 2.1× 12 618

Countries citing papers authored by Amanda C. Hayward

Since Specialization
Citations

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

Fields of papers citing papers by Amanda C. Hayward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda C. Hayward. 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 Amanda C. Hayward. The network helps show where Amanda C. Hayward may publish in the future.

Co-authorship network of co-authors of Amanda C. Hayward

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

All Works

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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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2026