Tim Hoey
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in ⓘ
- Oncology 11
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 3
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- Cancer-related molecular mechanisms research 2
- Co-authors
- John Lewicki (17 shared papers)Austin Gurney (14 shared papers)Lucia Beviglia (4 shared papers)Jorge Aguilar (2 shared papers)Cécile Chartier (3 shared papers)Scott J. Dylla (2 shared papers)Janak Raval (2 shared papers)Sasha Lazetic (2 shared papers)
- Journals
- Cancer Research (12 papers)PLoS ONE (2 papers)Molecular Cancer Therapeutics (1 paper)Journal of Clinical Oncology (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Tim Hoey
21 papers receiving 674 citations
Peers
Comparison fields: 5 of 73
- Oncology 456
- Cancer Research 182
- Biotechnology 58
- Molecular Biology 408
- Cell Biology 51
Countries citing papers authored by Tim Hoey
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
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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 448 | |
| 2 | 2004 | 87 | |
| 3 | 2021 | 41 | |
| 4 | 2008 | 39 | |
| 5 | 2022 | 25 | |
| 6 | 2013 | 9 | |
| 7 | 2017 | 8 | |
| 8 | 2017 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2016 | 3 | |
| 11 | 2017 | 3 | |
| 12 | 2011 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2015 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 1 | |
| 19 | Simply C#: An Application-Driven Tutorial Approach | 2003 | 1 |
| 20 | 2016 | 1 |
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.