Hayley Suen

24 total papers · 945 total citations
17 papers, 697 citations indexed

About

Hayley Suen is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Hayley Suen has authored 17 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in Hayley Suen's work include Multiple Myeloma Research and Treatments (9 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (7 papers). Hayley Suen is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (7 papers). Hayley Suen collaborates with scholars based in Australia and United States. Hayley Suen's co-authors include Ross Brown, John Gibson, P. Joy Ho, Derek N.J. Hart, Douglas Joshua, Narelle Woodland, Najah T. Nassif, James Favaloro, Phillip D. Fromm and Christian Bryant and has published in prestigious journals such as Blood, Leukemia and Neoplasia.

In The Last Decade

Hayley Suen

16 papers receiving 695 citations

Author Peers

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

Author Last Decade Papers Cites
Hayley Suen 412 393 341 236 51 17 697
R E Gress 435 1.1× 244 0.6× 185 0.5× 196 0.8× 36 0.7× 15 747
Marlies Götz 358 0.9× 326 0.8× 275 0.8× 224 0.9× 28 0.5× 32 680
Thomas Möhler 198 0.5× 162 0.4× 275 0.8× 272 1.2× 62 1.2× 23 597
E R Podack 496 1.2× 261 0.7× 96 0.3× 190 0.8× 36 0.7× 13 707
Thomas M. Herndon 349 0.8× 213 0.5× 197 0.6× 224 0.9× 55 1.1× 15 747
Stefanie Lindner 306 0.7× 175 0.4× 265 0.8× 389 1.6× 13 0.3× 17 748
Angela Burman 448 1.1× 247 0.6× 178 0.5× 108 0.5× 22 0.4× 14 755
M Kumagai 242 0.6× 215 0.5× 145 0.4× 155 0.7× 25 0.5× 14 577
I.P. Touw 334 0.8× 422 1.1× 249 0.7× 193 0.8× 28 0.5× 18 766
Arcadi Cipponi 496 1.2× 127 0.3× 476 1.4× 156 0.7× 43 0.8× 14 782

Countries citing papers authored by Hayley Suen

Since Specialization
Citations

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

Fields of papers citing papers by Hayley Suen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayley Suen

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