Emmanuelle Passegué
- Molecular Biology top 0.5%
- Hematology top 0.05%
- Immunology top 0.2%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Co-authors
- Irving L. WeissmanEric M. PietrasErwin F. WagnerMatthew R. WarrJohanna FlachDamien ReynaudWolfram JochumKoen Schepers
- Topics
- Hematopoietic Stem Cell Transplantation (40 papers)Acute Myeloid Leukemia Research (37 papers)Epigenetics and DNA Methylation (16 papers)
- Cited by
- HematologyAgingImmunology
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Emmanuelle Passegué
95 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 7.8k
- Hematology 5.5k
- Immunology 4.4k
- Oncology 3.0k
- Cancer Research 2.1k
Countries citing papers authored by Emmanuelle Passegué
This map shows the geographic impact of Emmanuelle Passegué'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 Emmanuelle Passegué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuelle Passegué more than expected).
Fields of papers citing papers by Emmanuelle Passegué
This network shows the impact of papers produced by Emmanuelle Passegué. 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 Emmanuelle Passegué. The network helps show where Emmanuelle Passegué may publish in the future.
Co-authorship network of co-authors of Emmanuelle Passegué
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuelle Passegué. A scholar is included among the top collaborators of Emmanuelle Passegué 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 Emmanuelle Passegué. Emmanuelle Passegué 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 | 6 | |
| 3 | 24 | |
| 4 | 35 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | Stromal niche inflammation mediated by IL-1 signalling is a targetable driver of haematopoietic ageingbreakdown → | 114 |
| 8 | 65 | |
| 9 | 55 | |
| 10 | 108 | |
| 11 | 22 | |
| 12 | 268 | |
| 13 | Lysosome activation clears aggregates and enhances quiescent neural stem cell activation during agingbreakdown → | 382 |
| 14 | Chronic interleukin-1 exposure drives haematopoietic stem cells towards precocious myeloid differentiation at the expense of self-renewalbreakdown → | 500 |
| 15 | FOXO3A directs a protective autophagy program in haematopoietic stem cellsbreakdown → | 473 |
| 16 | 21 | |
| 17 | 1 | |
| 18 | 115 | |
| 19 | 15 | |
| 20 | 3 |
About Emmanuelle Passegué
Emmanuelle Passegué is a scholar working on Hematology, Genetics and Immunology, having authored 98 papers that have together received 15.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (40 papers), Acute Myeloid Leukemia Research (37 papers) and Epigenetics and DNA Methylation (16 papers). The work is most often cited by research in Hematology (5.5k citations), Aging (461 citations) and Immunology (4.4k citations). Emmanuelle Passegué has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Irving L. Weissman, Eric M. Pietras, Erwin F. Wagner, Matthew R. Warr, Johanna Flach, Damien Reynaud, Wolfram Jochum, Koen Schepers, Amy J. Wagers and Mikhail Binnewies. Their work appears in journals such as Nature, Science and Cell.
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.