Vincent‐Philippe Lavallée
- Molecular Biology top 10%
- Immunology top 5%
- Hematology top 2%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Guy SauvageauJosée HébertSébastien LemieuxDana Pe’erLinas MažutisGeneviève BoucherHerman GudjonsonYuri Pritykin
- Topics
- Acute Myeloid Leukemia Research (25 papers)Protein Degradation and Inhibitors (9 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers)
- 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
- Molecular Biology 802
- Immunology 517
- Hematology 501
- Oncology 384
- Cancer Research 247
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 of co-authors of Vincent‐Philippe Lavallée
This figure shows the co-authorship network connecting the top 25 collaborators of Vincent‐Philippe Lavallée. A scholar is included among the top collaborators of Vincent‐Philippe Lavallée based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vincent‐Philippe Lavallée. Vincent‐Philippe Lavallée is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 49 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | Regenerative lineages and immune-mediated pruning in lung cancer metastasisbreakdown → | 251 |
| 11 | 13 | |
| 12 | 77 | |
| 13 | 20 | |
| 14 | 32 | |
| 15 | 28 | |
| 16 | 115 | |
| 17 | 49 | |
| 18 | 87 | |
| 19 | 4 | |
| 20 | 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) and Myeloproliferative Neoplasms: Diagnosis and Treatment (5 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. Their work appears in journals such as Cell, Nucleic Acids Research and Nature Medicine.
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.