Marjorie Beumier
About
In The Last Decade
Marjorie Beumier
16 papers receiving 530 citations
Peers
Comparison fields: 5 of 59
- Pharmacology 389
- Epidemiology 249
- Biomedical Engineering 98
- Molecular Medicine 96
- Applied Microbiology and Biotechnology 86
Countries citing papers authored by Marjorie Beumier
This map shows the geographic impact of Marjorie Beumier'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 Marjorie Beumier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marjorie Beumier more than expected).
Fields of papers citing papers by Marjorie Beumier
This network shows the impact of papers produced by Marjorie Beumier. 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 Marjorie Beumier. The network helps show where Marjorie Beumier may publish in the future.
Co-authorship network of co-authors of Marjorie Beumier
This figure shows the co-authorship network connecting the top 25 collaborators of Marjorie Beumier. A scholar is included among the top collaborators of Marjorie Beumier 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 Marjorie Beumier. Marjorie Beumier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 84 | |
| 3 | 27 | |
| 4 | 69 | |
| 5 | 68 | |
| 6 | 36 | |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 67 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 83 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | Clinical value of suPAR, a new critical biomarker | 1 |
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.