P. Filippakopoulos
- Hematology top 0.2%
- Multiple Myeloma Research and Treatments 22
- Molecular Biology top 0.5%
- Protein Degradation and Inhibitors 47
- Histone Deacetylase Inhibitors Research 19
- Ubiquitin and proteasome pathways 16
- Genomics and Chromatin Dynamics 8
- Protein Kinase Regulation and GTPase Signaling 7
- Oncology top 2%
- Peptidase Inhibition and Analysis 10
- Virology top 2%
- Cell Biology top 2%
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- Cancer Mechanisms and Therapy 7
- Co-authors
- Stefan KnappSusanne MüllerS. PicaudTakao FujisawaO. FedorovI. FelletarAnne‐Claude GingrasTracy Keates
- Cited by
- HematologyMolecular BiologyOncology
- Journals
- Cell (4 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of the American Chemical Society (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
P. Filippakopoulos
85 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Hematology 2.4k
- Molecular Biology 8.3k
- Oncology 1.6k
- Virology 239
- Cell Biology 582
Countries citing papers authored by P. Filippakopoulos
This map shows the geographic impact of P. Filippakopoulos'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 P. Filippakopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Filippakopoulos more than expected).
Fields of papers citing papers by P. Filippakopoulos
This network shows the impact of papers produced by P. Filippakopoulos. 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 P. Filippakopoulos. The network helps show where P. Filippakopoulos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. Filippakopoulos, 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 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 19 | |
| 7 | 2021 | 76 | |
| 8 | 2019 | 31 | |
| 9 | 2018 | 35 | |
| 10 | 2018 | 95 | |
| 11 | 2017 | 39 | |
| 12 | 2016 | 74 | |
| 13 | 2014 | 13 | |
| 14 | 2014 | 93 | |
| 15 | Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Familybreakdown → | 2012 | 1230 |
| 16 | 2011 | 107 | |
| 17 | 2011 | 343 | |
| 18 | 2011 | 97 | |
| 19 | 2010 | 177 | |
| 20 | 2007 | 169 |
About P. Filippakopoulos
P. Filippakopoulos is a scholar working on Hematology, Molecular Biology and Oncology, having authored 87 papers that have together received 9.8k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (47 papers), Multiple Myeloma Research and Treatments (22 papers), Histone Deacetylase Inhibitors Research (19 papers), Ubiquitin and proteasome pathways (16 papers), Peptidase Inhibition and Analysis (10 papers), Genomics and Chromatin Dynamics (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Hematology (2.4k citations), Molecular Biology (8.3k citations) and Oncology (1.6k citations). P. Filippakopoulos has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Stefan Knapp, Susanne Müller, S. Picaud, Takao Fujisawa, O. Fedorov, I. Felletar, Anne‐Claude Gingras, Tracy Keates, Tony Pawson and Jean‐Philippe Lambert. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.