Tim Hoey

896 total citations
23 papers, 685 citations indexed

About

Tim Hoey is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Tim Hoey has authored 23 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Immunology. Recurrent topics in Tim Hoey's work include Cancer Cells and Metastasis (6 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (3 papers). Tim Hoey is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (3 papers). Tim Hoey collaborates with scholars based in United States and Canada. Tim Hoey's co-authors include Austin Gurney, John Lewicki, Lucia Beviglia, Stephanie Smith‐Berdan, Jorge Aguilar, Janak Raval, Scott J. Dylla, Sasha Lazetic, Cécile Chartier and Michael F. Clarke and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Tim Hoey

21 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Hoey United States	7	456	408	182	63	58	23	685
Ardian Latifi United States	8	367 0.8×	337 0.8×	185 1.0×	75 1.2×	34 0.6×	12	637
Carmen Ghilardi Italy	14	243 0.5×	384 0.9×	178 1.0×	61 1.0×	41 0.7×	23	635
Crystal D. Salcido United States	5	738 1.6×	574 1.4×	280 1.5×	67 1.1×	52 0.9×	5	978
Margarite D. Matossian United States	14	258 0.6×	314 0.8×	136 0.7×	52 0.8×	25 0.4×	39	588
Marica Gemei Italy	17	248 0.5×	371 0.9×	199 1.1×	54 0.9×	28 0.5×	30	666
Diana Spiegelberg Sweden	14	279 0.6×	308 0.8×	93 0.5×	62 1.0×	38 0.7×	31	555
Alysha K. Croker Canada	5	748 1.6×	501 1.2×	359 2.0×	77 1.2×	64 1.1×	5	1.0k
Igor Bado United States	13	388 0.9×	331 0.8×	184 1.0×	60 1.0×	22 0.4×	16	690
Ángel Santiago Mexico	9	325 0.7×	697 1.7×	261 1.4×	137 2.2×	33 0.6×	16	908

Countries citing papers authored by Tim Hoey

Since Specialization

Citations

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

Fields of papers citing papers by Tim Hoey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Hoey

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

All Works

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20 of 20 papers shown

Farshidfar, Farshad, et al.. (2025). Combining genetic proxies of drug targets and time-to-event analyses from longitudinal observational data to identify target patient populations. BMC Cardiovascular Disorders. 25(1). 353–353.

Ranjbarvaziri, Sara, Farshad Farshidfar, Jaclyn J. Ho, et al.. (2022). Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy. Science Translational Medicine. 14(652). eabl5654–eabl5654. 25 indexed citations

Ho, Jaclyn J., Sara Ranjbarvaziri, Farshad Farshidfar, et al.. (2021). Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes. eLife. 10. 41 indexed citations

Srivastava, Minu K., Erin Mayes, Christopher L. Murriel, et al.. (2017). Abstract 2003: Antibody against TIGIT (T cell immunoreceptor with Ig and ITIM domains) induces anti-tumor immune response and generates long-term immune memory. Cancer Research. 77(13_Supplement). 2003–2003. 8 indexed citations

Cattaruzza, Fiore, Min Wang, Alayne Brunner, et al.. (2017). Abstract 599: Pharmacodynamic biomarkers for anti-TIGIT treatment and prevalence of TIGIT expression in multiple solid tumor types. Cancer Research. 77(13_Supplement). 599–599. 2 indexed citations

Srivastava, Minu K., Erin Mayes, Fumiko Axelrod, et al.. (2017). Abstract 2612: Anti-Tigit induces T cell mediated anti-tumor immune response and combines with immune checkpoint inhibitors to enhance strong and long term anti-tumor immunity. Cancer Research. 77(13_Supplement). 2612–2612. 4 indexed citations

DeVito, Nicholas C., Christine Xiao, Fei Zhao, et al.. (2017). Paracrine wnt-β-catenin signaling inhibition as a strategy to enhance the efficacy of anti-PD-1 antibody (Ab) therapy in a transgenic model of melanoma.. Journal of Clinical Oncology. 35(15_suppl). 3053–3053. 3 indexed citations

Zhang, Chun, Fiore Cattaruzza, Wan-Ching Yen, et al.. (2016). Abstract 3129: Predictive biomarker identification for response to vantictumab (OMP-18R5; anti-Frizzled) using primary patient-derived human pancreatic tumor xenografts. Cancer Research. 76(14_Supplement). 3129–3129. 3 indexed citations

Zhang, Chun, Yuwang Liu, Min Wang, et al.. (2016). Abstract 404: Development of a RSPO3 CLIA-validated assay as a predictive biomarker for response to anti-RSPO3 antibody treatment in patients with solid tumors. Cancer Research. 76(14_Supplement). 404–404. 1 indexed citations

10.

Brunner, Alayne, Fiore Cattaruzza, Wan-Ching Yen, et al.. (2016). Abstract 4652: Effects of anti-DLL4 treatment on non-small cell lung cancer (NSCLC) human xenograft tumors. Cancer Research. 76(14_Supplement). 4652–4652. 3 indexed citations

11.

Cattaruzza, Fiore, Wan-Ching Yen, Alayne Brunner, et al.. (2015). Abstract 4367: Discovery and evaluation of pharmacodynamic and predictive biomarkers for anti-RSPO3, a treatment that reduces tumor growth and cancer stem cell frequency in patient derived xenograft tumor models. Cancer Research. 75(15_Supplement). 4367–4367. 1 indexed citations

12.

Srivastava, Minu K., Christopher L. Murriel, Julie M. Roda, et al.. (2015). Abstract 255: Dual targeting of Delta-like ligand 4 (DLL4) and programmed death 1(PD1) inhibits tumor growth and generates enhanced long-term immunological memory. Cancer Research. 75(15_Supplement). 255–255. 1 indexed citations

13.

Cancilla, Belinda, Chun Zhang, Steve Anderson, et al.. (2015). Abstract 1549: Development and validation of a biomarker for prospective selection of Notch1 activation in patients with certain advanced solid tumors in a first-in-human phase1 study of the cancer stem cell targeting antibody OMP-52M51 (anti-Notch1). Cancer Research. 75(15_Supplement). 1549–1549. 1 indexed citations

14.

Srivastava, Minu K., Christopher L. Murriel, Erin Mayes, et al.. (2015). Co-targeting of delta-like ligand 4 (DLL4) and vascular endothelial growth factor a (VEGF) with programmed death 1 (PD1) blockade inhibits tumor growth and facilitates anti-tumor immune responses. Journal for ImmunoTherapy of Cancer. 3(S2). 2 indexed citations

15.

Wallace, Breanna, Min Wang, Jennifer Cain, et al.. (2013). Abstract 213: Novel NOTCH3 activating mutations identified in tumors sensitive to OMP-59R5, a monoclonal antibody targeting the Notch2 and Notch3 receptors.. Cancer Research. 73(8_Supplement). 213–213. 1 indexed citations

16.

Cancilla, Belinda, Jennifer Cain, Min Wang, et al.. (2013). Abstract 3728: Anti-Notch1 antibody (OMP-52M51) impedes tumor growth and cancer stem cell frequency (CSC) in a chemo-refractory breast cancer xenograft model with an activating Notch1 mutation and screening for activated Notch1 across multiple solid tumor types.. Cancer Research. 73(8_Supplement). 3728–3728. 9 indexed citations

17.

Dylla, Scott J., Lucia Beviglia, In‐Kyung Park, et al.. (2008). Colorectal Cancer Stem Cells Are Enriched in Xenogeneic Tumors Following Chemotherapy. PLoS ONE. 3(6). e2428–e2428. 448 indexed citations

18.

Dylla, Scott J., Lucia Beviglia, Inkyung Park, et al.. (2008). Correction: Colorectal Cancer Stem Cells Are Enriched in Xenogeneic Tumors Following Chemotherapy. PLoS ONE. 3(8). 39 indexed citations

19.

Sin, Wun Chey, Wendy Zhong, Scott Powers, et al.. (2004). G protein-coupled receptors GPR4 and TDAG8 are oncogenic and overexpressed in human cancers. Oncogene. 23(37). 6299–6303. 87 indexed citations

20.

Deitel, Harvey M., et al.. (2003). Simply C#: An Application-Driven Tutorial Approach. CERN Document Server (European Organization for Nuclear Research). 1 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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