Troy Ketela

4.0k total citations
41 papers, 1.4k citations indexed

About

Troy Ketela is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Troy Ketela has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Hematology and 7 papers in Cancer Research. Recurrent topics in Troy Ketela's work include Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (5 papers) and CRISPR and Genetic Engineering (4 papers). Troy Ketela is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (5 papers) and CRISPR and Genetic Engineering (4 papers). Troy Ketela collaborates with scholars based in Canada, United States and Finland. Troy Ketela's co-authors include Howard Bussey, Robin Green, Jason Moffat, Aaron D. Schimmer, Rose Hurren, Neil MacLean, Scott A. Yuzwa, Marc Lussier, David R. Kaplan and Gary D. Bader and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Troy Ketela

38 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Troy Ketela Canada 20 1.2k 228 214 163 154 41 1.4k
Shuhui Lim Singapore 10 1.0k 0.9× 543 2.4× 214 1.0× 63 0.4× 201 1.3× 11 1.5k
Laurence M. Brill United States 23 1.4k 1.2× 209 0.9× 258 1.2× 271 1.7× 253 1.6× 34 2.1k
Haizhong Feng China 26 1.3k 1.1× 293 1.3× 125 0.6× 225 1.4× 477 3.1× 57 1.8k
Muriel Aubry Canada 21 1.1k 1.0× 196 0.9× 228 1.1× 54 0.3× 64 0.4× 29 1.4k
Hans‐Christian Aasheim Norway 22 736 0.6× 153 0.7× 252 1.2× 79 0.5× 96 0.6× 40 1.2k
Deborah H. Lundgren United States 14 1.1k 0.9× 188 0.8× 151 0.7× 27 0.2× 162 1.1× 16 1.7k
Vittoria Matafora Italy 21 879 0.7× 151 0.7× 238 1.1× 76 0.5× 237 1.5× 40 1.3k
Brigitte Boldyreff Germany 25 1.8k 1.5× 355 1.6× 291 1.4× 166 1.0× 77 0.5× 51 2.2k
Shing Leng Chan Singapore 22 977 0.8× 375 1.6× 152 0.7× 45 0.3× 258 1.7× 33 1.4k
Luciana E. Giono Argentina 20 1.2k 1.0× 368 1.6× 145 0.7× 51 0.3× 262 1.7× 27 1.5k

Countries citing papers authored by Troy Ketela

Since Specialization
Citations

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

Fields of papers citing papers by Troy Ketela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Troy Ketela

This figure shows the co-authorship network connecting the top 25 collaborators of Troy Ketela. A scholar is included among the top collaborators of Troy Ketela 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 Troy Ketela. Troy Ketela 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.
McKeever, Paul M., Zhiyu Xu, Shangxi Xiao, et al.. (2025). Single-nucleus transcriptome atlas of orbitofrontal cortex in ALS with a deep learning-based decoding of alternative polyadenylation mechanisms. Cell Genomics. 5(12). 101007–101007. 1 indexed citations
2.
Cathelin, Séverine, David Dai, Éric Grignano, et al.. (2025). Single-cell proteogenomic analysis of clonal evolution in PDX models of AML treated with IDH inhibitors. PubMed. 3(1). 100182–100182.
3.
Patel, Yash, Jean Shin, Amy Botta, et al.. (2024). Obesity and the cerebral cortex: Underlying neurobiology in mice and humans. Brain Behavior and Immunity. 119. 637–647. 7 indexed citations
4.
Cathelin, Séverine, David Dai, Éric Grignano, et al.. (2024). Single-Cell Proteogenomic Analysis of Clonal Evolution in Patient-Derived Xenograft Models of AML Treated with IDH Inhibitors. Blood. 144(Supplement 1). 4995–4995.
5.
Kondratyev, Maria, Troy Ketela, Natalie Stickle, et al.. (2023). Identification of acquired Notch3 dependency in metastatic Head and Neck Cancer. Communications Biology. 6(1). 538–538. 7 indexed citations
6.
Ma, Yuan, Kangfu Chen, Sharif Ahmed, et al.. (2022). Genome-wide in vivo screen of circulating tumor cells identifies SLIT2 as a regulator of metastasis. Science Advances. 8(35). eabo7792–eabo7792. 9 indexed citations
7.
Son, Joe Eun, Kyoung-Han Kim, Siyi Wanggou, et al.. (2021). Irx3 and Irx5 in Ins2-Cre+ cells regulate hypothalamic postnatal neurogenesis and leptin response. Nature Metabolism. 3(5). 701–713. 30 indexed citations
8.
Barghout, Samir H., Asma M. Aman, Kazem Nouri, et al.. (2021). A genome-wide CRISPR/Cas9 screen in acute myeloid leukemia cells identifies regulators of TAK-243 sensitivity. JCI Insight. 6(5). 24 indexed citations
9.
Pearson, Joel D., Katherine Huang, Izhar Livne‐Bar, et al.. (2020). Functional genomics identifies new synergistic therapies for retinoblastoma. Oncogene. 39(31). 5338–5357. 28 indexed citations
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Ramachandran, Shaliny, Dania Haddad, Conglei Li, et al.. (2016). The SAGA Deubiquitination Module Promotes DNA Repair and Class Switch Recombination through ATM and DNAPK-Mediated γH2AX Formation. Cell Reports. 15(7). 1554–1565. 72 indexed citations
13.
14.
Simpson, Craig D., Rose Hurren, Dahlia Kasimer, et al.. (2012). A genome wide shRNA screen identifies α/β hydrolase domain containing 4 (ABHD4) as a novel regulator of anoikis resistance. APOPTOSIS. 17(7). 666–678. 19 indexed citations
15.
Zavareh, Reza Beheshti, Mahadeo A. Sukhai, Rose Hurren, et al.. (2012). Suppression of Cancer Progression by MGAT1 shRNA Knockdown. PLoS ONE. 7(9). e43721–e43721. 34 indexed citations
16.
Ketela, Troy, et al.. (2011). Pooled Lentiviral shRNA Screening for Functional Genomics in Mammalian Cells. Methods in molecular biology. 781. 161–182. 27 indexed citations
17.
Mak, Anthony B., Kim M. Blakely, Rashida Williams, et al.. (2011). CD133 Protein N-Glycosylation Processing Contributes to Cell Surface Recognition of the Primitive Cell Marker AC133 Epitope. Journal of Biological Chemistry. 286(47). 41046–41056. 70 indexed citations
18.
Wood, Tabitha E., Shadi Dalili, Craig D. Simpson, et al.. (2010). Selective Inhibition of Histone Deacetylases Sensitizes Malignant Cells to Death Receptor Ligands. Molecular Cancer Therapeutics. 9(1). 246–256. 56 indexed citations
19.
Cook, Michael A., et al.. (2008). Systematic Validation and Atomic Force Microscopy of Non-Covalent Short Oligonucleotide Barcode Microarrays. PLoS ONE. 3(2). e1546–e1546. 11 indexed citations
20.
Ketela, Troy, et al.. (1995). Genetic correlation of the orf224/atp6 gene region with Polima CMS in Brassica somatic hybrids. Plant Molecular Biology. 27(4). 801–807. 28 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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