Victoria Honnell
About
In The Last Decade
Victoria Honnell
5 papers receiving 84 citations
Peers
Comparison fields: 5 of 24
- Molecular Biology 80
- Neurology 13
- Ophthalmology 10
- Cell Biology 10
- Cancer Research 10
Countries citing papers authored by Victoria Honnell
This map shows the geographic impact of Victoria Honnell'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 Victoria Honnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Honnell more than expected).
Fields of papers citing papers by Victoria Honnell
This network shows the impact of papers produced by Victoria Honnell. 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 Victoria Honnell. The network helps show where Victoria Honnell may publish in the future.
Co-authorship network of co-authors of Victoria Honnell
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Honnell. A scholar is included among the top collaborators of Victoria Honnell 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 Victoria Honnell. Victoria Honnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | 62 | |
| 4 | 1 | |
| 5 | Genetic analysis, the Color Assessment and Diagnosis (CAD) test, and the Cambridge Color Test (CCT) yield the same color vision classifications in humans | 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.