P. Filippakopoulos
- Molecular Biology top 0.5%
- Hematology top 0.2%
- Oncology top 2%
- Organic Chemistry top 2%
- Immunology top 5%
- Co-authors
- Stefan KnappSusanne MüllerS. PicaudTakao FujisawaO. FedorovI. FelletarAnne‐Claude GingrasTracy Keates
- Topics
- Protein Degradation and Inhibitors (47 papers)Multiple Myeloma Research and Treatments (22 papers)Histone Deacetylase Inhibitors Research (19 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- 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
- Molecular Biology 8.3k
- Hematology 2.4k
- Oncology 1.6k
- Organic Chemistry 960
- Immunology 591
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 of co-authors of P. Filippakopoulos
This figure shows the co-authorship network connecting the top 25 collaborators of P. Filippakopoulos. A scholar is included among the top collaborators of P. Filippakopoulos 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 P. Filippakopoulos. P. Filippakopoulos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 76 | |
| 8 | 31 | |
| 9 | 35 | |
| 10 | 95 | |
| 11 | 39 | |
| 12 | 74 | |
| 13 | 13 | |
| 14 | 93 | |
| 15 | Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Familybreakdown → | 1230 |
| 16 | 107 | |
| 17 | 343 | |
| 18 | 97 | |
| 19 | 177 | |
| 20 | 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) and Histone Deacetylase Inhibitors Research (19 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.