Simon Beaudoin
Impact in
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- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
Papers in
- Oncology 10
- CAR-T cell therapy research 4
- HER2/EGFR in Cancer Research 3
- Cancer Immunotherapy and Biomarkers 3
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- RNA Interference and Gene Delivery 5
- Co-authors
- Xavier Roucou (4 shared papers)Jeffrey V. Leyton (8 shared papers)Johan E. van Lier (2 shared papers)Brigitte Guérin (6 shared papers)Benoît Vanderperre (1 shared paper)Frédéric Leduc (1 shared paper)Isabelle Tremblay (1 shared paper)Michel Paquette (6 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Journal of Visualized Experiments (2 papers)Cancer Science (2 papers)iScience (1 paper)Molecular Pharmaceutics (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Simon Beaudoin
22 papers receiving 286 citations
Peers
Comparison fields: 5 of 58
- Neurology 61
- Neurology 24
- Acoustics and Ultrasonics 2
- Molecular Biology 145
- Oncology 52
Countries citing papers authored by Simon Beaudoin
This map shows the geographic impact of Simon Beaudoin'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 Simon Beaudoin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Beaudoin more than expected).
Fields of papers citing papers by Simon Beaudoin
This network shows the impact of papers produced by Simon Beaudoin. 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 Simon Beaudoin. The network helps show where Simon Beaudoin may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Beaudoin, 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 | 2013 | 65 | |
| 2 | 2007 | 51 | |
| 3 | 2008 | 30 | |
| 4 | 2008 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2016 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2022 | 13 | |
| 10 | 2020 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2018 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2021 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Simon Beaudoin
Simon Beaudoin is a scholar working on Oncology, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 23 papers that have together received 294 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA Interference and Gene Delivery (5 papers), CAR-T cell therapy research (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Neurology (61 citations), Neurology (24 citations), Acoustics and Ultrasonics (2 citations), Molecular Biology (145 citations) and Oncology (52 citations). Simon Beaudoin has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Xavier Roucou, Jeffrey V. Leyton, Johan E. van Lier, Brigitte Guérin, Benoît Vanderperre, Frédéric Leduc, Isabelle Tremblay, Michel Paquette, Marc‐André Bonin and Moutih Rafei. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Journal of Visualized Experiments, Cancer Science, iScience and Molecular Pharmaceutics.
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.