Tim Hoey

896 citations
23 papers · 685 indexed · h-index 7

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation

Papers in

    • Cancer Cells and Metastasis 6
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer-related molecular mechanisms research 2

Tim Hoey

21 papers receiving 674 citations

Peers

Tim Hoey
Comparison fields: 5 of 73
  • Oncology 456
  • Cancer Research 182
  • Biotechnology 58
  • Molecular Biology 408
  • Cell Biology 51
Replace Crystal D. Salcido with:
Crystal D. Salcido United States
Sarah J. Conley United States
Alicia J. Kaestli Switzerland
Vicky Pui‐Chi Tin Hong Kong
April Davis United States
Laura Austin United States
Alysha K. Croker Canada
Min-Hee Hur South Korea
Stefanie Tiede Switzerland
Mamunur Rashid United Kingdom
Tim Hoey relative to Crystal D. Salcido United States Crystal D. Salcido's profile →
Citations per field
00.5×1.5×2.0×
Crystal D. Salcido · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tim Hoey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Hoey Line = papers co-authored together Tim Hoey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008448
2 200487
3 202141
4 200839
5 202225
6 20139
7 20178
8 20174
9 20163
10 20163
11 20173
12 20113
13 20172
14 20152
15 20152
16 20131
17 20151
18 20151
19
Simply C#: An Application-Driven Tutorial Approach
20031
20 20161

About Tim Hoey

Tim Hoey is a scholar working on Oncology, Cancer Research, Immunology, Immunology and Allergy and Molecular Biology, having authored 23 papers that have together received 685 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Immunotherapy and Immune Responses (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Nanoplatforms for cancer theranostics (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Oncology (456 citations), Cancer Research (182 citations), Biotechnology (58 citations), Molecular Biology (408 citations) and Cell Biology (51 citations). Tim Hoey has collaborated with scholars based in United States and Canada. Frequent co-authors include John Lewicki, Austin Gurney, Lucia Beviglia, Jorge Aguilar, Cécile Chartier, Scott J. Dylla, Janak Raval, Sasha Lazetic, Michael F. Clarke and Stephanie Smith‐Berdan. Their work appears in journals such as Cancer Research, PLoS ONE, Molecular Cancer Therapeutics, Journal of Clinical Oncology and Science Translational Medicine.

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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