Vincent‐Philippe Lavallée
- Hematology top 2%
- Acute Myeloid Leukemia Research 25
- Immunology top 5%
- Immune Cell Function and Interaction 3
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 4
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 5
- Oncology top 10%
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- Protein Degradation and Inhibitors 9
- Retinoids in leukemia and cellular processes 5
- Single-cell and spatial transcriptomics 2
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- Acute Lymphoblastic Leukemia research 3
- Co-authors
- Guy SauvageauJosée HébertSébastien LemieuxDana Pe’erLinas MažutisGeneviève BoucherHerman GudjonsonYuri Pritykin
- Cited by
- HematologyImmunologyCancer Research
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Vincent‐Philippe Lavallée
34 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Hematology 501
- Immunology 517
- Cancer Research 247
- Genetics 172
- Oncology 384
Countries citing papers authored by Vincent‐Philippe Lavallée
This map shows the geographic impact of Vincent‐Philippe Lavallée'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 Vincent‐Philippe Lavallée with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent‐Philippe Lavallée more than expected).
Fields of papers citing papers by Vincent‐Philippe Lavallée
This network shows the impact of papers produced by Vincent‐Philippe Lavallée. 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 Vincent‐Philippe Lavallée. The network helps show where Vincent‐Philippe Lavallée may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vincent‐Philippe Lavallée, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 49 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 9 | |
| 10 | Regenerative lineages and immune-mediated pruning in lung cancer metastasisbreakdown → | 2020 | 251 |
| 11 | 2019 | 13 | |
| 12 | 2019 | 77 | |
| 13 | 2019 | 20 | |
| 14 | 2018 | 32 | |
| 15 | 2017 | 28 | |
| 16 | 2016 | 115 | |
| 17 | 2016 | 49 | |
| 18 | 2015 | 87 | |
| 19 | 2015 | 4 | |
| 20 | 2015 | 2 |
About Vincent‐Philippe Lavallée
Vincent‐Philippe Lavallée is a scholar working on Hematology, Genetics and Immunology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (25 papers), Protein Degradation and Inhibitors (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Retinoids in leukemia and cellular processes (5 papers), Cancer Genomics and Diagnostics (4 papers), Immune Cell Function and Interaction (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Hematology (501 citations), Immunology (517 citations) and Cancer Research (247 citations). Vincent‐Philippe Lavallée has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Guy Sauvageau, Josée Hébert, Sébastien Lemieux, Dana Pe’er, Linas Mažutis, Geneviève Boucher, Herman Gudjonson, Yuri Pritykin, Charlotte E. Ariyan and Alejandra Mendoza.
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.