Virginia Cody
About
In The Last Decade
Virginia Cody
6 papers receiving 526 citations
Peers
Comparison fields: 5 of 65
- Immunology 381
- Molecular Biology 275
- Biomedical Engineering 104
- Biomaterials 90
- Pharmaceutical Science 74
Countries citing papers authored by Virginia Cody
This map shows the geographic impact of Virginia Cody'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 Virginia Cody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia Cody more than expected).
Fields of papers citing papers by Virginia Cody
This network shows the impact of papers produced by Virginia Cody. 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 Virginia Cody. The network helps show where Virginia Cody may publish in the future.
Co-authorship network of co-authors of Virginia Cody
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Cody. A scholar is included among the top collaborators of Virginia Cody 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 Virginia Cody. Virginia Cody is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 86 | |
| 3 | 7 | |
| 4 | 80 | |
| 5 | 324 | |
| 6 | 13 | |
| 7 | Medical Microbiology Laboratory Case Studies | 0 |
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.