Lorey Smith
Impact in
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- Hippo pathway signaling and YAP/TAZ
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cutaneous Melanoma Detection and Management
Papers in
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- Melanoma and MAPK Pathways 4
- Wnt/β-catenin signaling in development and cancer 2
- Fibroblast Growth Factor Research 2
- Oncology 7
- Cancer Immunotherapy and Biomarkers 5
- Cancer Cells and Metastasis 2
- CAR-T cell therapy research 2
- Co-authors
- Grant A. McArthur (8 shared papers)Karen E. Sheppard (7 shared papers)Patrick O. Humbert (3 shared papers)Helen Pearson (2 shared papers)Nathan Gödde (2 shared papers)Aparna D. Rao (2 shared papers)Emily J. Lelliott (1 shared paper)Laura L. Yates (1 shared paper)
- Journals
- Cancers (5 papers)PLoS Genetics (1 paper)BMC Bioinformatics (1 paper)Clinical and Translational Medicine (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- AustraliaUnited StatesIsrael
In The Last Decade
Lorey Smith
13 papers receiving 215 citations
Peers
Comparison fields: 5 of 59
- Cell Biology 59
- Oncology 77
- Cancer Research 38
- Molecular Biology 145
- Immunology 30
Countries citing papers authored by Lorey Smith
This map shows the geographic impact of Lorey Smith'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 Lorey Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorey Smith more than expected).
Fields of papers citing papers by Lorey Smith
This network shows the impact of papers produced by Lorey Smith. 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 Lorey Smith. The network helps show where Lorey Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Lorey Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 48 | |
| 2 | 2020 | 32 | |
| 3 | 2016 | 28 | |
| 4 | 2014 | 21 | |
| 5 | 2021 | 19 | |
| 6 | 2022 | 17 | |
| 7 | 2021 | 16 | |
| 8 | 2013 | 14 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2020 | 1 |
About Lorey Smith
Lorey Smith is a scholar working on Molecular Biology, Oncology, Immunology, Computational Theory and Mathematics and Infectious Diseases, having authored 13 papers that have together received 216 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Fibroblast Growth Factor Research (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Cells and Metastasis (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cell Biology (59 citations), Oncology (77 citations), Cancer Research (38 citations), Molecular Biology (145 citations) and Immunology (30 citations). Lorey Smith has collaborated with scholars based in Australia, United States and Israel. Frequent co-authors include Grant A. McArthur, Karen E. Sheppard, Patrick O. Humbert, Helen Pearson, Nathan Gödde, Aparna D. Rao, Emily J. Lelliott, Laura L. Yates, Ryan Galea and Jane E. Visvader. Their work appears in journals such as Cancers, PLoS Genetics, BMC Bioinformatics, Clinical and Translational Medicine and Experimental Cell Research.
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.