Jean‐Philippe Lambert
Impact in
- Molecular Biology top 2%
- Protein Degradation and Inhibitors
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- RNA modifications and cancer
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
-
- Genomics and Chromatin Dynamics 29
- Ubiquitin and proteasome pathways 16
- Protein Degradation and Inhibitors 12
- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 7
- Fungal and yeast genetics research 7
- Cell Biology 14
- Biotin and Related Studies 7
- Co-authors
- Anne‐Claude GingrasDaniel FigeysTony PawsonP. FilippakopoulosS. PicaudStefan KnappSusanne MüllerC.H. Arrowsmith
- Journals
- Journal of Proteomics (5 papers)Epigenetics & Chromatin (4 papers)Molecular Cell (4 papers)Genes & Development (4 papers)Molecular & Cellular Proteomics (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jean‐Philippe Lambert
76 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 3.4k
- Hematology 491
- Spectroscopy 383
- Cell Biology 374
- Virology 78
Countries citing papers authored by Jean‐Philippe Lambert
This map shows the geographic impact of Jean‐Philippe Lambert'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 Jean‐Philippe Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Philippe Lambert more than expected).
Fields of papers citing papers by Jean‐Philippe Lambert
This network shows the impact of papers produced by Jean‐Philippe Lambert. 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 Jean‐Philippe Lambert. The network helps show where Jean‐Philippe Lambert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Philippe Lambert, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 15 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 19 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 27 | |
| 14 | 2016 | 47 | |
| 15 | 2016 | 36 | |
| 16 | 2015 | 98 | |
| 17 | 2013 | 232 | |
| 18 | Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Family Hit paper breakdown → | 2012 | 1230 |
| 19 | 2010 | 10 | |
| 20 | 2009 | 4 |
About Jean‐Philippe Lambert
Jean‐Philippe Lambert is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Pharmacology and Oncology, having authored 81 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (29 papers), Ubiquitin and proteasome pathways (16 papers), Protein Degradation and Inhibitors (12 papers), Advanced Proteomics Techniques and Applications (11 papers), RNA modifications and cancer (10 papers), Biotin and Related Studies (7 papers), Epigenetics and DNA Methylation (7 papers) and Fungal and yeast genetics research (7 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Hematology (491 citations), Spectroscopy (383 citations), Cell Biology (374 citations) and Virology (78 citations). Jean‐Philippe Lambert has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Anne‐Claude Gingras, Daniel Figeys, Tony Pawson, P. Filippakopoulos, S. Picaud, Stefan Knapp, Susanne Müller, C.H. Arrowsmith, Maria Mangos and Dalia Baršytė-Lovejoy. Their work appears in journals such as Journal of Proteomics, Epigenetics & Chromatin, Molecular Cell, Genes & Development and Molecular & Cellular Proteomics.
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.