Suzanne Trudel

12.8k citations
248 papers · 5.2k · h-index 40

Impact in

  • Hematology top 0.2%
    • Multiple Myeloma Research and Treatments
  • Oncology top 1%
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research
    • Cancer Treatment and Pharmacology

Papers in

    • Multiple Myeloma Research and Treatments 194
    • Protein Degradation and Inhibitors 71
    • Ubiquitin and proteasome pathways 18

Suzanne Trudel

227 papers receiving 5.1k citations

Peers

Suzanne Trudel
Comparison fields: 5 of 112
  • Hematology 3.0k
  • Oncology 2.3k
  • Genetics 558
  • Molecular Biology 3.4k
  • Immunology 560
Replace Marc S. Raab with:
Marc S. Raab Germany
Laurence Catley United States
Enrique M. Ocio Spain
Sonia Vallet United States
Lori Hazlehurst United States
Andrzej Jakubowiak United States
Kenneth H. Shain United States
Alexander Laird United States
Kimberly Stegmaier United States
Güllü Görgün United States
Suzanne Trudel relative to Marc S. Raab Germany Marc S. Raab's profile →
Citations per field
00.5×1.5×2.4×
Marc S. Raab · 1×
Citations per year

Countries citing papers authored by Suzanne Trudel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Suzanne Trudel Line = papers co-authored together Suzanne Trudel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009250
2 2004223
3 2018192
4 2007174
5 2019171
6 2004133
7 2012119
8 2010109
9 2006108
10 1990106
11 2017101
12 2017100
13 2021100
14 201299
15 200792
16 199183
17 201079
18 201378
19 202376
20 200872

About Suzanne Trudel

Suzanne Trudel is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 248 papers that have together received 5.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (194 papers), Protein Degradation and Inhibitors (71 papers), Peptidase Inhibition and Analysis (43 papers), Cancer Treatment and Pharmacology (34 papers), Chronic Lymphocytic Leukemia Research (27 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), Ubiquitin and proteasome pathways (18 papers) and Cancer Mechanisms and Therapy (15 papers). The work is most often cited by research in Hematology (3.0k citations), Oncology (2.3k citations), Genetics (558 citations), Molecular Biology (3.4k citations) and Immunology (560 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.

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