Marylène Leboeuf
- Immunology top 0.2%
- Neurology top 0.1%
- Molecular Biology top 5%
- Physiology top 2%
- Oncology top 5%
- Co-authors
- Miriam MéradMelanie GreterFlorent GinhouxE. Richard StanleyLai Guan NgSimon J. ConwayPeter SeeIgor M. Samokhvalov
- Topics
- Immunotherapy and Immune Responses (19 papers)Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (13 papers)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Marylène Leboeuf
39 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 6.1k
- Neurology 3.1k
- Molecular Biology 2.2k
- Physiology 999
- Oncology 815
Countries citing papers authored by Marylène Leboeuf
This map shows the geographic impact of Marylène Leboeuf'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 Marylène Leboeuf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marylène Leboeuf more than expected).
Fields of papers citing papers by Marylène Leboeuf
This network shows the impact of papers produced by Marylène Leboeuf. 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 Marylène Leboeuf. The network helps show where Marylène Leboeuf may publish in the future.
Co-authorship network of co-authors of Marylène Leboeuf
This figure shows the co-authorship network connecting the top 25 collaborators of Marylène Leboeuf. A scholar is included among the top collaborators of Marylène Leboeuf 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 Marylène Leboeuf. Marylène Leboeuf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 37 | |
| 3 | 12 | |
| 4 | 19 | |
| 5 | 103 | |
| 6 | 31 | |
| 7 | 102 | |
| 8 | 143 | |
| 9 | 193 | |
| 10 | 468 | |
| 11 | Deciphering the transcriptional network of the dendritic cell lineagebreakdown → | 580 |
| 12 | 325 | |
| 13 | Bone marrow CD169+ macrophages promote the retention of hematopoietic stem and progenitor cells in the mesenchymal stem cell nichebreakdown → | 625 |
| 14 | 122 | |
| 15 | Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophagesbreakdown → | 3740 |
| 16 | 14 | |
| 17 | Origin of the Lamina Propria Dendritic Cell Networkbreakdown → | 675 |
| 18 | 65 | |
| 19 | 13 | |
| 20 | 6 |
About Marylène Leboeuf
Marylène Leboeuf is a scholar working on Immunology, Hematology and Genetics, having authored 39 papers that have together received 9.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (19 papers), Immune Cell Function and Interaction (13 papers) and T-cell and B-cell Immunology (13 papers). The work is most often cited by research in Neurology (3.1k citations), Immunology (6.1k citations) and Biological Psychiatry (385 citations). Marylène Leboeuf has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Miriam Mérad, Melanie Greter, Florent Ginhoux, E. Richard Stanley, Lai Guan Ng, Simon J. Conway, Peter See, Igor M. Samokhvalov, Mark F. Mehler and Sayan Nandi. Their work appears in journals such as Science, Cell and Journal of Clinical Investigation.
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.