Ashley Di Meo
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
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- Renal and related cancers 5
- Metabolomics and Mass Spectrometry Studies 2
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- Renal cell carcinoma treatment 7
- Ferroptosis and cancer prognosis 3
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications 5
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- Clinical Laboratory Practices and Quality Control 3
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- George M. YousefMaria PasicYufeng ChengEleftherios P. DiamandisMichael A.S. JewettIhor BatruchAntonio FinelliMahadeo A. Sukhai
- Journals
- Blood (1 paper)American Journal Of Pathology (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Ashley Di Meo
21 papers receiving 653 citations
Peers
Comparison fields: 5 of 101
- Cancer Research 248
- Molecular Biology 350
- Pulmonary and Respiratory Medicine 156
- Oncology 126
- Spectroscopy 71
Countries citing papers authored by Ashley Di Meo
This map shows the geographic impact of Ashley Di Meo'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 Ashley Di Meo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley Di Meo more than expected).
Fields of papers citing papers by Ashley Di Meo
This network shows the impact of papers produced by Ashley Di Meo. 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 Ashley Di Meo. The network helps show where Ashley Di Meo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashley Di Meo, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 29 | |
| 13 | 2019 | 23 | |
| 14 | 2019 | 12 | |
| 15 | 2017 | 265 | |
| 16 | 2016 | 27 | |
| 17 | 2016 | 53 | |
| 18 | 2015 | 20 | |
| 19 | 2014 | 4 | |
| 20 | 2014 | 20 |
About Ashley Di Meo
Ashley Di Meo is a scholar working on Spectroscopy, Statistics, Probability and Uncertainty and Cancer Research, having authored 24 papers that have together received 661 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (7 papers), Advanced Proteomics Techniques and Applications (5 papers), Renal and related cancers (5 papers), Ferroptosis and cancer prognosis (3 papers), Clinical Laboratory Practices and Quality Control (3 papers), Cancer Genomics and Diagnostics (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Cancer Research (248 citations), Molecular Biology (350 citations) and Pulmonary and Respiratory Medicine (156 citations). Ashley Di Meo has collaborated with scholars based in Canada, United States and China. Frequent co-authors include George M. Yousef, Maria Pasic, Yufeng Cheng, Eleftherios P. Diamandis, Michael A.S. Jewett, Ihor Batruch, Antonio Finelli, Mahadeo A. Sukhai, Noah Fine and Reza Beheshti Zavareh. Their work appears in journals such as Blood, American Journal Of Pathology and International Journal of Cancer.
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.