Andria Allen
About
In The Last Decade
Andria Allen
8 papers receiving 837 citations
Peers
Comparison fields: 5 of 55
- Epidemiology 572
- Infectious Diseases 372
- Plant Science 342
- Molecular Biology 316
- Cell Biology 240
Countries citing papers authored by Andria Allen
This map shows the geographic impact of Andria Allen'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 Andria Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andria Allen more than expected).
Fields of papers citing papers by Andria Allen
This network shows the impact of papers produced by Andria Allen. 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 Andria Allen. The network helps show where Andria Allen may publish in the future.
Co-authorship network of co-authors of Andria Allen
This figure shows the co-authorship network connecting the top 25 collaborators of Andria Allen. A scholar is included among the top collaborators of Andria Allen 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 Andria Allen. Andria Allen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 384 | |
| 4 | 184 | |
| 5 | 83 | |
| 6 | 188 | |
| 7 | Comparison of sucrose metabolism and gene expression in two diverse Saccharum genotypes. | 2 |
| 8 | 3 |
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.