Hayley Suen

947 total citations
17 papers, 700 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 700 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, P. Joy Ho, John Gibson, Derek N.J. Hart, Douglas Joshua, Najah T. Nassif, Narelle Woodland, 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 698 citations

Peers

Hayley Suen
Riyan Chen Canada
R. Rossi United States
K Pouwels Netherlands
Riyan Chen Canada
Hayley Suen
Citations per year, relative to Hayley Suen Hayley Suen (= 1×) peers Riyan Chen

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

17 of 17 papers shown
1.
Krishnan, Sabna Rajeev, Gabriele De Rubis, Hayley Suen, et al.. (2020). A liquid biopsy to detect multidrug resistance and disease burden in multiple myeloma. Blood Cancer Journal. 10(3). 37–37. 28 indexed citations
2.
Krishnan, Sabna Rajeev, Frederick Luk, Ross Brown, et al.. (2016). Isolation of Human CD138+ Microparticles from the Plasma of Patients with Multiple Myeloma. Neoplasia. 18(1). 25–32. 53 indexed citations
3.
4.
Joshua, Douglas, Hayley Suen, Ross Brown, et al.. (2016). The T Cell in Myeloma. Clinical Lymphoma Myeloma & Leukemia. 16(10). 537–542. 42 indexed citations
5.
Hsu, Jennifer L., Christian Bryant, Phillip D. Fromm, et al.. (2016). A Blood Dendritic Cell Vaccine for Acute Myeloid Leukemia. Blood. 128(22). 5221–5221. 1 indexed citations
6.
Bryant, Christian, Phillip D. Fromm, Fiona Kupresanin, et al.. (2016). A CD2 high‐expressing stress‐resistant human plasmacytoid dendritic‐cell subset. Immunology and Cell Biology. 94(5). 447–457. 30 indexed citations
7.
Joshua, D., Alberto Catalano, P. Joy Ho, et al.. (2015). Digital PCR for MRD detection of myeloma. Clinical Lymphoma Myeloma & Leukemia. 15. e95–e95.
8.
Brown, Ross, S Samuel Yang, Claire Weatherburn, et al.. (2014). Phospho-flow detection of constitutive and cytokine-induced pSTAT3/5, pAKT and pERK expression highlights novel prognostic biomarkers for patients with multiple myeloma. Leukemia. 29(2). 483–490. 17 indexed citations
9.
Favaloro, James, Ross Brown, Shihong Yang, et al.. (2014). Myeloid derived suppressor cells are numerically, functionally and phenotypically different in patients with multiple myeloma. Leukemia & lymphoma. 55(12). 2893–2900. 91 indexed citations
12.
Favaloro, James, Ross Brown, Esther Aklilu, et al.. (2013). Myeloma skews regulatory T and pro-inflammatory T helper 17 cell balance in favor of a suppressive state. Leukemia & lymphoma. 55(5). 1090–1098. 64 indexed citations
13.
Bryant, Christian, Hayley Suen, Ross Brown, et al.. (2013). Long-term survival in multiple myeloma is associated with a distinct immunological profile, which includes proliferative cytotoxic T-cell clones and a favourable Treg/Th17 balance. Blood Cancer Journal. 3(9). e148–e148. 110 indexed citations
14.
Brown, Ross, Hayley Suen, James Favaloro, et al.. (2012). Trogocytosis generates acquired regulatory T cells adding further complexity to the dysfunctional immune response in multiple myeloma. OncoImmunology. 1(9). 1658–1660. 18 indexed citations
15.
Brown, Ross, James Favaloro, Shihong Yang, et al.. (2012). CD86+ or HLA-G+ can be transferred via trogocytosis from myeloma cells to T cells and are associated with poor prognosis. Blood. 120(10). 2055–2063. 84 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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