Siok‐Keen Tey

4.2k total citations · 1 hit paper
63 papers, 2.6k citations indexed

About

Siok‐Keen Tey is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Siok‐Keen Tey has authored 63 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Hematology, 21 papers in Immunology and 19 papers in Oncology. Recurrent topics in Siok‐Keen Tey's work include Hematopoietic Stem Cell Transplantation (23 papers), Immune Cell Function and Interaction (16 papers) and Cytomegalovirus and herpesvirus research (14 papers). Siok‐Keen Tey is often cited by papers focused on Hematopoietic Stem Cell Transplantation (23 papers), Immune Cell Function and Interaction (16 papers) and Cytomegalovirus and herpesvirus research (14 papers). Siok‐Keen Tey collaborates with scholars based in Australia, United States and United Kingdom. Siok‐Keen Tey's co-authors include Helen E. Heslop, Malcolm K. Brenner, Cliona M. Rooney, Gianpietro Dotti, Rajiv Khanna, Barbara Savoldo, April Durett, Bambi Grilley, Robert A. Krance and Antonio Di Stasi and has published in prestigious journals such as Science, New England Journal of Medicine and Blood.

In The Last Decade

Siok‐Keen Tey

61 papers receiving 2.5k citations

Hit Papers

Inducible Apoptosis as a Safety Switch for Adoptive Cell ... 2011 2026 2016 2021 2011 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Siok‐Keen Tey Australia 22 1.5k 1.1k 777 605 412 63 2.6k
Carolina Colli Cruz United States 26 2.1k 1.4× 1.4k 1.3× 810 1.0× 863 1.4× 365 0.9× 93 3.3k
David DiGiusto United States 20 1.3k 0.9× 1.0k 1.0× 1.2k 1.6× 766 1.3× 299 0.7× 49 2.8k
Gwenn Danet-Desnoyers United States 21 1.6k 1.1× 1.1k 1.1× 1.2k 1.5× 711 1.2× 598 1.5× 38 3.1k
Michael Klichinsky United States 14 1.3k 0.9× 902 0.9× 586 0.8× 327 0.5× 115 0.3× 56 2.0k
Vijay Bhoj United States 17 2.0k 1.3× 1.3k 1.3× 916 1.2× 586 1.0× 115 0.3× 39 3.4k
Ulrike Gerdemann United States 21 1.7k 1.1× 1.3k 1.2× 699 0.9× 648 1.1× 208 0.5× 47 2.8k
Claudia Wrzesinski United States 16 2.8k 1.8× 2.9k 2.7× 934 1.2× 644 1.1× 183 0.4× 20 4.1k
Els Verhoeyen France 35 1.4k 0.9× 1.1k 1.0× 2.2k 2.9× 1.7k 2.9× 304 0.7× 114 4.1k
Bambi Grilley United States 21 3.7k 2.4× 1.5k 1.4× 1.2k 1.6× 1.5k 2.4× 348 0.8× 69 4.4k
Blythe Sather United States 19 733 0.5× 1.1k 1.1× 671 0.9× 442 0.7× 177 0.4× 29 2.0k

Countries citing papers authored by Siok‐Keen Tey

Since Specialization
Citations

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

Fields of papers citing papers by Siok‐Keen Tey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siok‐Keen Tey. 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 Siok‐Keen Tey. The network helps show where Siok‐Keen Tey may publish in the future.

Co-authorship network of co-authors of Siok‐Keen Tey

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

All Works

20 of 20 papers shown
1.
Zhang, Ping, Mei Tan, Alda Saldan, et al.. (2024). Clinical grade multiparametric cell sorting and gene-marking of regulatory T cells. Cytotherapy. 26(7). 719–728. 2 indexed citations
2.
Henden, Andrea, et al.. (2023). PET assessment of acute gastrointestinal graft versus host disease. Bone Marrow Transplantation. 58(9). 973–979. 4 indexed citations
3.
Ling, Victoria, Jasmin Straube, William Godfrey, et al.. (2022). Targeting cell cycle and apoptosis to overcome chemotherapy resistance in acute myeloid leukemia. Leukemia. 37(1). 143–153. 25 indexed citations
4.
Curley, Cameron, Siok‐Keen Tey, Jason Butler, et al.. (2022). Real-World Outcomes with CD19 CAR T-Cell Therapy for B-Cell Malignancies in Regional/Rural Australia: Results from the Queensland CAR T-Cell Program. Blood. 140(Supplement 1). 7500–7501. 1 indexed citations
5.
Kennedy, Glen, Siok‐Keen Tey, Luke Buizen, et al.. (2021). A phase 3 double-blind study of the addition of tocilizumab vs placebo to cyclosporin/methotrexate GVHD prophylaxis. Blood. 137(14). 1970–1979. 32 indexed citations
6.
Tey, Siok‐Keen & Steven Lane. (2021). Better the cure you know: why patients with AML ≥60 years of age should be offered early allogeneic stem cell transplantation. Blood Advances. 6(5). 1619–1622. 7 indexed citations
8.
Zhang, Ping, et al.. (2020). Nanopore sequencing as a scalable, cost-effective platform for analyzing polyclonal vector integration sites following clinical T cell therapy. Journal for ImmunoTherapy of Cancer. 8(1). e000299–e000299. 9 indexed citations
9.
Martins, José Paulo, Christopher E. Andoniou, Peter Fleming, et al.. (2019). Strain-specific antibody therapy prevents cytomegalovirus reactivation after transplantation. Science. 363(6424). 288–293. 52 indexed citations
10.
Henden, Andrea, Antiopi Varelias, Judy Avery, et al.. (2019). Pegylated interferon-2α invokes graft-versus-leukemia effects in patients relapsing after allogeneic stem cell transplantation. Blood Advances. 3(20). 3013–3019. 14 indexed citations
11.
Wilkinson, A, Kate H. Gartlan, Greg Kelly, et al.. (2018). Granulocytes Are Unresponsive to IL-6 Due to an Absence of gp130. The Journal of Immunology. 200(10). 3547–3555. 29 indexed citations
12.
Tey, Siok‐Keen, et al.. (2018). Diagnostic Utility of Endoscopy and Biopsy in Suspected Acute Gastrointestinal Graft-versus-Host Disease after Hematopoietic Progenitor Cell Transplantation. Biology of Blood and Marrow Transplantation. 24(6). 1294–1298. 11 indexed citations
13.
Dasari, Vijayendra, Sweera Rehan, Siok‐Keen Tey, et al.. (2016). Autophagy and proteasome interconnect to coordinate cross‐presentation through MHC class I pathway in B cells. Immunology and Cell Biology. 94(10). 964–974. 31 indexed citations
14.
Andrade, Lucas Ferrari de, Shin Foong Ngiow, Kimberley Stannard, et al.. (2014). Natural Killer Cells Are Essential for the Ability of BRAF Inhibitors to Control BRAFV600E-Mutant Metastatic Melanoma. Cancer Research. 74(24). 7298–7308. 81 indexed citations
15.
Cromer, Deborah, Siok‐Keen Tey, Rajiv Khanna, & Miles P. Davenport. (2013). Estimating Cytomegalovirus Growth Rates by Using Only a Single Point. Journal of Virology. 87(6). 3376–3381. 7 indexed citations
17.
Tey, Siok‐Keen & Rajiv Khanna. (2012). Autophagy mediates transporter associated with antigen processing-independent presentation of viral epitopes through MHC class I pathway. Blood. 120(5). 994–1004. 86 indexed citations
18.
Stasi, Antonio Di, Siok‐Keen Tey, Gianpietro Dotti, et al.. (2011). Inducible Apoptosis as a Safety Switch for Adoptive Cell Therapy. New England Journal of Medicine. 365(18). 1673–1683. 1159 indexed citations breakdown →
19.
Tey, Siok‐Keen, Ralph Cobcroft, Karen Grimmett, et al.. (2004). A simplified endogenous erythroid colony assay for the investigation of polycythaemia. Clinical & Laboratory Haematology. 26(2). 115–121. 3 indexed citations
20.
Tey, Siok‐Keen, et al.. (2002). Incidence and nature of CD20 negative relapses following rituximab therapy in aggressive B-cell non-Hodgkin's lymphoma: A retrospective review.. Blood. 100(11). 17 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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