Suzanne Trudel
Impact in
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments
- Oncology top 1%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 202
- Multiple Myeloma Research and Treatments 194
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- Protein Degradation and Inhibitors 58
- Co-authors
- Donna Reece (101 shared papers)A. Keith Stewart (18 shared papers)Vishal Kukreti (88 shared papers)Christine Chen (65 shared papers)Zhihua Li (18 shared papers)Rodger E. Tiedemann (54 shared papers)Joseph Mıkhael (31 shared papers)Hong Chang (11 shared papers)
- Journals
- Blood (126 papers)Journal of Clinical Oncology (25 papers)British Journal of Haematology (5 papers)Bone Marrow Transplantation (5 papers)Clinical Cancer Research (4 papers)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Suzanne Trudel
231 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 110
- Hematology 2.9k
- Oncology 2.0k
- Genetics 494
- Molecular Biology 3.0k
- Immunology 498
Countries citing papers authored by Suzanne Trudel
This map shows the geographic impact of Suzanne 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 Suzanne Trudel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Trudel more than expected).
Fields of papers citing papers by Suzanne Trudel
This network shows the impact of papers produced by Suzanne 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 Suzanne Trudel. The network helps show where Suzanne Trudel may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne 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
Showing the 20 most-cited of 252 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 252 | |
| 2 | 2004 | 226 | |
| 3 | 2018 | 194 | |
| 4 | 2007 | 173 | |
| 5 | 2019 | 172 | |
| 6 | 2004 | 133 | |
| 7 | 2012 | 118 | |
| 8 | 2010 | 109 | |
| 9 | 2006 | 108 | |
| 10 | 1990 | 106 | |
| 11 | 2021 | 103 | |
| 12 | 2017 | 102 | |
| 13 | 2017 | 101 | |
| 14 | 2012 | 98 | |
| 15 | 2007 | 92 | |
| 16 | 2023 | 85 | |
| 17 | 1991 | 83 | |
| 18 | 2010 | 80 | |
| 19 | 2013 | 79 | |
| 20 | 2008 | 72 |
About Suzanne Trudel
Suzanne Trudel is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 252 papers that have together received 5.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (194 papers), Protein Degradation and Inhibitors (58 papers), Peptidase Inhibition and Analysis (36 papers), Cancer Treatment and Pharmacology (34 papers), Chronic Lymphocytic Leukemia Research (27 papers), Monoclonal and Polyclonal Antibodies Research (26 papers), Cancer Mechanisms and Therapy (15 papers) and HIV/AIDS drug development and treatment (15 papers). The work is most often cited by research in Hematology (2.9k citations), Oncology (2.0k citations), Genetics (494 citations), Molecular Biology (3.0k citations) and Immunology (498 citations). Suzanne Trudel has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Donna Reece, A. Keith Stewart, Vishal Kukreti, Christine Chen, Zhihua Li, Rodger E. Tiedemann, Joseph Mıkhael, Hong Chang, Esther Masih‐Khan and Sergio Grinstein. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Bone Marrow Transplantation and Clinical Cancer 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.