Karen Earle
About
In The Last Decade
Karen Earle
7 papers receiving 335 citations
Peers
Comparison fields: 5 of 57
- Immunology 143
- Infectious Diseases 62
- Genetics 61
- Molecular Biology 60
- Oncology 42
Countries citing papers authored by Karen Earle
This map shows the geographic impact of Karen Earle'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 Karen Earle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Earle more than expected).
Fields of papers citing papers by Karen Earle
This network shows the impact of papers produced by Karen Earle. 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 Karen Earle. The network helps show where Karen Earle may publish in the future.
Co-authorship network of co-authors of Karen Earle
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Earle. A scholar is included among the top collaborators of Karen Earle 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 Karen Earle. Karen Earle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 155 | |
| 6 | 105 | |
| 7 | 55 | |
| 8 | Developmental regulation of ksp-cadherin expression in the human kidney | 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.