Guy Sauvageau
Impact in
- Hematology top 0.1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Molecular Biology top 0.5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- Pluripotent Stem Cells Research
- Developmental Biology and Gene Regulation
Papers in
- Hematology 116
- Hematopoietic Stem Cell Transplantation 66
- Acute Myeloid Leukemia Research 51
- Multiple Myeloma Research and Treatments 16
- Genetics 33
- Mesenchymal stem cell research 15
- Co-authors
- R. Keith HumphriesJulie LessardCorey LargmanMartin SauvageauH. Jeffrey LawrenceUnnur ÞorsteinsdóttirJennifer AntonchukJana Krošl
- Journals
- Blood (67 papers)Biology of Blood and Marrow Transplantation (13 papers)Experimental Hematology (11 papers)Oncogene (7 papers)Blood Advances (7 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Guy Sauvageau
200 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Hematology 3.9k
- Molecular Biology 7.4k
- Genetics 1.1k
- Immunology 1.8k
- Cancer Research 1.0k
Countries citing papers authored by Guy Sauvageau
This map shows the geographic impact of Guy Sauvageau'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 Guy Sauvageau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Sauvageau more than expected).
Fields of papers citing papers by Guy Sauvageau
This network shows the impact of papers produced by Guy Sauvageau. 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 Guy Sauvageau. The network helps show where Guy Sauvageau may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Sauvageau, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 18 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 42 | |
| 10 | 2019 | 13 | |
| 11 | 2019 | 8 | |
| 12 | 2017 | 132 | |
| 13 | 2017 | 28 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 115 | |
| 16 | 2015 | 22 | |
| 17 | 2014 | 51 | |
| 18 | 2014 | 84 | |
| 19 | 2013 | 21 | |
| 20 | 1999 | 62 |
About Guy Sauvageau
Guy Sauvageau is a scholar working on Hematology, Genetics, Oncology, Immunology and Molecular Biology, having authored 210 papers that have together received 10.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (66 papers), Acute Myeloid Leukemia Research (51 papers), Epigenetics and DNA Methylation (35 papers), Protein Degradation and Inhibitors (20 papers), Genomics and Chromatin Dynamics (19 papers), Cancer-related gene regulation (16 papers), Multiple Myeloma Research and Treatments (16 papers) and Mesenchymal stem cell research (15 papers). The work is most often cited by research in Hematology (3.9k citations), Molecular Biology (7.4k citations), Genetics (1.1k citations), Immunology (1.8k citations) and Cancer Research (1.0k citations). Guy Sauvageau has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include R. Keith Humphries, Julie Lessard, Corey Largman, Martin Sauvageau, H. Jeffrey Lawrence, Unnur Þorsteinsdóttir, Jennifer Antonchuk, Jana Krošl, Josée Hébert and Peter M. Lansdorp. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Experimental Hematology, Oncogene and Blood Advances.
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.