Peter Ouillette
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 18
- Chronic Lymphocytic Leukemia Research 17
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- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Sami N. Malek (27 shared papers)Kerby Shedden (22 shared papers)Mark Kaminski (10 shared papers)Harry P. Erba (9 shared papers)Lisa Kujawski (9 shared papers)Brian Parkin (10 shared papers)Shaomeng Wang (5 shared papers)Kamlai Saiya-Cork (6 shared papers)
- Journals
- Blood (15 papers)Clinical Cancer Research (6 papers)Cell Reports (1 paper)Anti-Cancer Drugs (1 paper)Genes Chromosomes and Cancer (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Peter Ouillette
28 papers receiving 1.8k citations
Peter Ouillette's Hit Papers
Peers
Comparison fields: 5 of 65
- Genetics 726
- Pathology and Forensic Medicine 712
- Hematology 300
- Oncology 476
- Immunology 378
Countries citing papers authored by Peter Ouillette
This map shows the geographic impact of Peter Ouillette'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 Peter Ouillette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Ouillette more than expected).
Fields of papers citing papers by Peter Ouillette
This network shows the impact of papers produced by Peter Ouillette. 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 Peter Ouillette. The network helps show where Peter Ouillette may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Ouillette, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetics of Follicular Lymphoma Transformation Hit paper breakdown → | 2014 | 390 |
| 2 | 2014 | 243 | |
| 3 | 2008 | 141 | |
| 4 | 2014 | 135 | |
| 5 | 2014 | 89 | |
| 6 | 2012 | 84 | |
| 7 | 2007 | 84 | |
| 8 | 2011 | 82 | |
| 9 | 2008 | 75 | |
| 10 | 2010 | 74 | |
| 11 | 2011 | 72 | |
| 12 | 2007 | 68 | |
| 13 | 2010 | 53 | |
| 14 | 2013 | 47 | |
| 15 | 2010 | 47 | |
| 16 | 2011 | 45 | |
| 17 | 2011 | 28 | |
| 18 | 2012 | 28 | |
| 19 | 2020 | 28 | |
| 20 | 2020 | 20 |
About Peter Ouillette
Peter Ouillette is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Hematology and Oncology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (7 papers), Cancer-related Molecular Pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (726 citations), Pathology and Forensic Medicine (712 citations), Hematology (300 citations), Oncology (476 citations) and Immunology (378 citations). Peter Ouillette has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Sami N. Malek, Kerby Shedden, Mark Kaminski, Harry P. Erba, Lisa Kujawski, Brian Parkin, Shaomeng Wang, Kamlai Saiya-Cork, Roxane Collins and Jinghui Li. Their work appears in journals such as Blood, Clinical Cancer Research, Cell Reports, Anti-Cancer Drugs and Genes Chromosomes and Cancer.
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.