Samuel Lessard
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
-
- CRISPR and Genetic Engineering 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- RNA Research and Splicing 2
- Genetics 9
- Hemoglobinopathies and Related Disorders 9
- Co-authors
- Guillaume Lettre (9 shared papers)Mélissa Beaudoin (4 shared papers)Stuart H. Orkin (5 shared papers)Daniel E. Bauer (5 shared papers)Matthew C. Canver (4 shared papers)Elenoe C. Smith (2 shared papers)Yuko Fujiwara (2 shared papers)Guo‐Cheng Yuan (2 shared papers)
- Journals
- Blood (6 papers)PLoS ONE (2 papers)Human Genetics and Genomics Advances (1 paper)BMC Genomics (1 paper)Science (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Samuel Lessard
17 papers receiving 899 citations
Samuel Lessard's Hit Papers
Peers
Comparison fields: 5 of 82
- Genetics 292
- Hematology 148
- Business and International Management 24
- Aging 17
- Molecular Biology 651
Countries citing papers authored by Samuel Lessard
This map shows the geographic impact of Samuel Lessard'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 Samuel Lessard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Lessard more than expected).
Fields of papers citing papers by Samuel Lessard
This network shows the impact of papers produced by Samuel Lessard. 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 Samuel Lessard. The network helps show where Samuel Lessard may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Lessard, 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 | An Erythroid Enhancer of BCL11A Subject to Genetic Variation Determines Fetal Hemoglobin Level Hit paper breakdown → | 2013 | 450 |
| 2 | 2015 | 183 | |
| 3 | 2017 | 84 | |
| 4 | 2017 | 71 | |
| 5 | 2017 | 44 | |
| 6 | 2018 | 32 | |
| 7 | 2016 | 22 | |
| 8 | 2020 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2013 | 0 |
About Samuel Lessard
Samuel Lessard is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Hematology and Genetics, having authored 19 papers that have together received 911 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (9 papers), CRISPR and Genetic Engineering (5 papers), Prenatal Screening and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), RNA modifications and cancer (4 papers), Iron Metabolism and Disorders (2 papers), RNA Research and Splicing (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Genetics (292 citations), Hematology (148 citations), Business and International Management (24 citations), Aging (17 citations) and Molecular Biology (651 citations). Samuel Lessard has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Guillaume Lettre, Mélissa Beaudoin, Stuart H. Orkin, Daniel E. Bauer, Matthew C. Canver, Elenoe C. Smith, Yuko Fujiwara, Guo‐Cheng Yuan, Luca Pinello and Jeff Vierstra. Their work appears in journals such as Blood, PLoS ONE, Human Genetics and Genomics Advances, BMC Genomics and Science.
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.