Christian Beaudry
- Molecular Biology top 10%
- Cancer Research top 10%
- Cell Biology top 5%
- Oncology
- Genetics top 5%
- Co-authors
- Michael E. BerensDominique B. HoelzingerWendy S. McDonoughStephen W. CoonsTim DemuthNhan L. TranMitsutoshi NakadaAlf Giese
- Topics
- Cellular Mechanics and Interactions (4 papers)RNA Research and Splicing (4 papers)Molecular Biology Techniques and Applications (3 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Christian Beaudry
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 703
- Cancer Research 272
- Cell Biology 233
- Oncology 197
- Genetics 193
Countries citing papers authored by Christian Beaudry
This map shows the geographic impact of Christian Beaudry'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 Christian Beaudry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Beaudry more than expected).
Fields of papers citing papers by Christian Beaudry
This network shows the impact of papers produced by Christian Beaudry. 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 Christian Beaudry. The network helps show where Christian Beaudry may publish in the future.
Co-authorship network of co-authors of Christian Beaudry
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Beaudry. A scholar is included among the top collaborators of Christian Beaudry 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 Christian Beaudry. Christian Beaudry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 12 | |
| 3 | 3 | |
| 4 | 68 | |
| 5 | 25 | |
| 6 | 54 | |
| 7 | 94 | |
| 8 | 141 | |
| 9 | 13 | |
| 10 | 123 | |
| 11 | Differential role of proline-rich tyrosine kinase 2 and focal adhesion kinase in determining glioblastoma migration and proliferation. | 67 |
| 12 | 122 | |
| 13 | 155 | |
| 14 | 1 | |
| 15 | Death-associated protein 3 (Dap-3) is overexpressed in invasive glioblastoma cells in vivo and in glioma cell lines with induced motility phenotype in vitro. | 68 |
| 16 | Identification and validation of P311 as a glioblastoma invasion gene using laser capture microdissection. | 107 |
| 17 | [Bullous lesions and necrosis of the sudoriparous glands in acute drug poisoning]. | 1 |
About Christian Beaudry
Christian Beaudry is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), RNA Research and Splicing (4 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Immunology and Allergy (112 citations), Genetics (193 citations) and Cancer Research (272 citations). Christian Beaudry has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Michael E. Berens, Dominique B. Hoelzinger, Wendy S. McDonough, Stephen W. Coons, Tim Demuth, Nhan L. Tran, Mitsutoshi Nakada, Alf Giese, Anna Joy and James T. Rutka. Their work appears in journals such as Nature Genetics, Cancer Research and Journal of Cell Science.
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.