Caroline Reavley
About
In The Last Decade
Caroline Reavley
3 papers receiving 67 citations
Peers
Comparison fields: 5 of 31
- Pathology and Forensic Medicine 48
- Dermatology 28
- Physiology 26
- Molecular Biology 18
- Cellular and Molecular Neuroscience 16
Countries citing papers authored by Caroline Reavley
This map shows the geographic impact of Caroline Reavley'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 Caroline Reavley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Reavley more than expected).
Fields of papers citing papers by Caroline Reavley
This network shows the impact of papers produced by Caroline Reavley. 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 Caroline Reavley. The network helps show where Caroline Reavley may publish in the future.
Co-authorship network of co-authors of Caroline Reavley
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Reavley. A scholar is included among the top collaborators of Caroline Reavley 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 Caroline Reavley. Caroline Reavley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 1 | |
| 3 | 6 |
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.