Nathalie Baudson
- Oncology top 10%
- Immunology
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Co-authors
- Catherine GérardLei-Hua LiuNeil L. SpectorWenle XiaThierry VeluJean‐Louis DargentCatherine BruynsNathalie Garçon
- Topics
- Immunotherapy and Immune Responses (11 papers)Virus-based gene therapy research (5 papers)CAR-T cell therapy research (5 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Nathalie Baudson
18 papers receiving 501 citations
Peers
Comparison fields: 5 of 61
- Oncology 269
- Immunology 189
- Molecular Biology 171
- Radiology, Nuclear Medicine and Imaging 119
- Epidemiology 86
Countries citing papers authored by Nathalie Baudson
This map shows the geographic impact of Nathalie Baudson'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 Nathalie Baudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Baudson more than expected).
Fields of papers citing papers by Nathalie Baudson
This network shows the impact of papers produced by Nathalie Baudson. 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 Nathalie Baudson. The network helps show where Nathalie Baudson may publish in the future.
Co-authorship network of co-authors of Nathalie Baudson
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Baudson. A scholar is included among the top collaborators of Nathalie Baudson 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 Nathalie Baudson. Nathalie Baudson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 24 | |
| 10 | 0 | |
| 11 | 211 | |
| 12 | Recombinant human papillomavirus type 16 E7 protein as a model antigen to study the vaccine potential in control and E7 transgenic mice. | 11 |
| 13 | 58 | |
| 14 | 11 | |
| 15 | 18 | |
| 16 | Role and expression of CD40 on human retinal pigment epithelial cells. | 25 |
| 17 | Ligation of CD-40 on human retinal pigment epithelial cells in vitro does not induce a complete antigen-pesenting cell phenotype | 2 |
| 18 | 29 | |
| 19 | 69 |
About Nathalie Baudson
Nathalie Baudson is a scholar working on Microbiology, Immunology and Epidemiology, having authored 19 papers that have together received 520 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Virus-based gene therapy research (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Oncology (269 citations), Immunology (189 citations) and Radiology, Nuclear Medicine and Imaging (119 citations). Nathalie Baudson has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Catherine Gérard, Lei-Hua Liu, Neil L. Spector, Wenle Xia, Thierry Velu, Jean‐Louis Dargent, Catherine Bruyns, Nathalie Garçon, Michel Goldman and Anne Delvaux. Their work appears in journals such as PLoS ONE, Oncogene and Vaccine.
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.