Dominique Trudel
- Biophysics top 0.5%
- Spectroscopy Techniques in Biomedical and Chemical Research 19
- Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses 13
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 9
-
- Prostate Cancer Treatment and Research 21
- Prostate Cancer Diagnosis and Treatment 13
- Oncology top 10%
- Peptidase Inhibition and Analysis 7
-
- AI in cancer detection 8
-
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Bernard TêtuTheodorus van der KwastFrédéric LeblondYves FradetFrançois MeyerKen J. KronJoannie DesrochesJohn Trachtenberg
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Dominique Trudel
89 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 123
- Biophysics 449
- Analytical Chemistry 307
- Cancer Research 413
- Pulmonary and Respiratory Medicine 510
- Oncology 357
Countries citing papers authored by Dominique Trudel
This map shows the geographic impact of Dominique Trudel'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 Dominique Trudel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Trudel more than expected).
Fields of papers citing papers by Dominique Trudel
This network shows the impact of papers produced by Dominique Trudel. 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 Dominique Trudel. The network helps show where Dominique Trudel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dominique Trudel, 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 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 6 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 24 | |
| 14 | 2018 | 28 | |
| 15 | 2017 | 3 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 20 | |
| 18 | 2012 | 43 | |
| 19 | 2012 | 62 | |
| 20 | Prostate cancer: MMP2, MMP9, MMP14, TIMP2 and disease-free survival | 2004 | 2 |
About Dominique Trudel
Dominique Trudel is a scholar working on Biophysics, Analytical Chemistry and Cancer Research, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (21 papers), Spectroscopy Techniques in Biomedical and Chemical Research (19 papers), Prostate Cancer Diagnosis and Treatment (13 papers), Spectroscopy and Chemometric Analyses (13 papers), Protease and Inhibitor Mechanisms (9 papers), AI in cancer detection (8 papers), Peptidase Inhibition and Analysis (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Biophysics (449 citations), Analytical Chemistry (307 citations) and Cancer Research (413 citations). Dominique Trudel has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Bernard Têtu, Theodorus van der Kwast, Frédéric Leblond, Yves Fradet, François Meyer, Ken J. Kron, Joannie Desroches, John Trachtenberg, François Harel and Kevin Petrecca. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.