Aaron Prodeus
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
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- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Oncology 9
- Cancer-related Molecular Pathways 3
- CAR-T cell therapy research 3
- Cancer Immunotherapy and Biomarkers 2
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- Phagocytosis and Immune Regulation 2
- Co-authors
- Jean Gariépy (14 shared papers)Nicholas William Fischer (7 shared papers)Marzena Cydzik (7 shared papers)Aws Abdul‐Wahid (6 shared papers)Eric H.‐B. Huang (2 shared papers)David M. Malkin (2 shared papers)Kullervo Hynynen (1 shared paper)David E. Goertz (1 shared paper)
- Journals
- Molecular Therapy — Nucleic Acids (3 papers)JCI Insight (2 papers)International Journal of Cancer (2 papers)Blood (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Aaron Prodeus
20 papers receiving 588 citations
Peers
Comparison fields: 5 of 64
- Oncology 199
- Immunology 92
- Molecular Biology 215
- Neurology 19
- Biomedical Engineering 67
Countries citing papers authored by Aaron Prodeus
This map shows the geographic impact of Aaron Prodeus'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 Aaron Prodeus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron Prodeus more than expected).
Fields of papers citing papers by Aaron Prodeus
This network shows the impact of papers produced by Aaron Prodeus. 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 Aaron Prodeus. The network helps show where Aaron Prodeus may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron Prodeus, 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 | 2015 | 133 | |
| 2 | 2018 | 61 | |
| 3 | 2023 | 51 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 45 | |
| 6 | 2022 | 40 | |
| 7 | 2017 | 37 | |
| 8 | 2015 | 32 | |
| 9 | 2018 | 24 | |
| 10 | 2018 | 24 | |
| 11 | 2014 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2017 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2022 | 5 | |
| 18 | 2012 | 4 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 1 |
About Aaron Prodeus
Aaron Prodeus is a scholar working on Oncology, Immunology, Molecular Biology, Biochemistry and Biomaterials, having authored 20 papers that have together received 595 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), CAR-T cell therapy research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Oncology (199 citations), Immunology (92 citations), Molecular Biology (215 citations), Neurology (19 citations) and Biomedical Engineering (67 citations). Aaron Prodeus has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Jean Gariépy, Nicholas William Fischer, Marzena Cydzik, Aws Abdul‐Wahid, Eric H.‐B. Huang, David M. Malkin, Kullervo Hynynen, David E. Goertz, John E. Shively and Florence T.H. Wu. Their work appears in journals such as Molecular Therapy — Nucleic Acids, JCI Insight, International Journal of Cancer, Blood 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.