Catherine Pellat‐Deceunynck
- Molecular Biology top 5%
- Hematology top 0.5%
- Immunology top 2%
- Oncology top 2%
- Genetics top 2%
- Co-authors
- Régis BatailleMartine AmiotGaëtan JégoNelly RobillardPhilippe MoreauGéraldine DescampsJean‐Luc HarousseauSteven Le Gouill
- Topics
- Multiple Myeloma Research and Treatments (44 papers)Cell death mechanisms and regulation (17 papers)Ubiquitin and proteasome pathways (16 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- SHILAP Revista de lepidopterologíaBloodThe Journal of Immunology
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Catherine Pellat‐Deceunynck
94 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.9k
- Hematology 1.5k
- Immunology 1.3k
- Oncology 1.2k
- Genetics 523
Countries citing papers authored by Catherine Pellat‐Deceunynck
This map shows the geographic impact of Catherine Pellat‐Deceunynck'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 Catherine Pellat‐Deceunynck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Catherine Pellat‐Deceunynck more than expected).
Fields of papers citing papers by Catherine Pellat‐Deceunynck
This network shows the impact of papers produced by Catherine Pellat‐Deceunynck. 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 Catherine Pellat‐Deceunynck. The network helps show where Catherine Pellat‐Deceunynck may publish in the future.
Co-authorship network of co-authors of Catherine Pellat‐Deceunynck
This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Pellat‐Deceunynck. A scholar is included among the top collaborators of Catherine Pellat‐Deceunynck 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 Catherine Pellat‐Deceunynck. Catherine Pellat‐Deceunynck 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 | 0 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 34 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 58 | |
| 12 | 49 | |
| 13 | 22 | |
| 14 | 124 | |
| 15 | 12 | |
| 16 | 30 | |
| 17 | Report of the European Myeloma Network (EMN) workshop on multiparametric flow cytometry in multiple myeloma and related disorders | 0 |
| 18 | 34 | |
| 19 | 42 | |
| 20 | 13 |
About Catherine Pellat‐Deceunynck
Catherine Pellat‐Deceunynck is a scholar working on Hematology, Immunology and Oncology, having authored 98 papers that have together received 3.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (44 papers), Cell death mechanisms and regulation (17 papers) and Ubiquitin and proteasome pathways (16 papers). The work is most often cited by research in Hematology (1.5k citations), Immunology (1.3k citations) and Genetics (523 citations). Catherine Pellat‐Deceunynck has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Régis Bataille, Martine Amiot, Gaëtan Jégo, Nelly Robillard, Philippe Moreau, Géraldine Descamps, Jean‐Luc Harousseau, Steven Le Gouill, Patricia Gomez‐Bougie and David Chiron. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.
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.