Duncan A. Hay

29 total papers · 1.6k total citations
18 papers, 933 citations indexed

About

Duncan A. Hay is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Duncan A. Hay has authored 18 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Hematology and 5 papers in Immunology. Recurrent topics in Duncan A. Hay's work include Protein Degradation and Inhibitors (9 papers), Multiple Myeloma Research and Treatments (8 papers) and Coordination Chemistry and Organometallics (3 papers). Duncan A. Hay is often cited by papers focused on Protein Degradation and Inhibitors (9 papers), Multiple Myeloma Research and Treatments (8 papers) and Coordination Chemistry and Organometallics (3 papers). Duncan A. Hay collaborates with scholars based in United Kingdom, United States and Germany. Duncan A. Hay's co-authors include Paul E. Brennan, Stefan Knapp, Stuart J. Conway, Susanne Müller, Christopher J. Schofield, Timothy P. C. Rooney, C. Tallant, Sarah Martin, Christopher Wells and O. Fedorov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Duncan A. Hay

17 papers receiving 909 citations

Author Peers

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

Author Last Decade Papers Cites
Duncan A. Hay 702 310 192 120 57 18 933
Henrik C. Hansen 885 1.3× 293 0.9× 267 1.4× 121 1.0× 50 0.9× 43 1.2k
Octovia Monteiro 898 1.3× 360 1.2× 132 0.7× 203 1.7× 36 0.6× 15 1.1k
David S. Hewings 767 1.1× 300 1.0× 182 0.9× 167 1.4× 22 0.4× 16 896
James M. Samanen 597 0.9× 165 0.5× 348 1.8× 110 0.9× 38 0.7× 34 1.1k
Laurie A. LeBrun 635 0.9× 187 0.6× 99 0.5× 156 1.3× 45 0.8× 23 881
Lu Min Wong 476 0.7× 233 0.8× 227 1.2× 273 2.3× 183 3.2× 21 1.0k
Guillermo Gerona‐Navarro 760 1.1× 190 0.6× 350 1.8× 113 0.9× 19 0.3× 30 1.0k
Eric B. Springman 479 0.7× 234 0.8× 104 0.5× 348 2.9× 74 1.3× 25 1.1k
Michael Fitzgerald 599 0.9× 229 0.7× 255 1.3× 292 2.4× 163 2.9× 17 1.0k
Sanjeev Redkar 674 1.0× 198 0.6× 121 0.6× 249 2.1× 87 1.5× 29 1.0k

Countries citing papers authored by Duncan A. Hay

Since Specialization
Citations

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

Fields of papers citing papers by Duncan A. Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan A. Hay

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan A. Hay. A scholar is included among the top collaborators of Duncan A. Hay 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 Duncan A. Hay. Duncan A. Hay 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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