Dale Kerr
About
In The Last Decade
Dale Kerr
5 papers receiving 344 citations
Peers
Comparison fields: 5 of 65
- Oncology 132
- Molecular Biology 102
- Immunology 100
- Pathology and Forensic Medicine 98
- Surgery 64
Countries citing papers authored by Dale Kerr
This map shows the geographic impact of Dale Kerr'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 Dale Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dale Kerr more than expected).
Fields of papers citing papers by Dale Kerr
This network shows the impact of papers produced by Dale Kerr. 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 Dale Kerr. The network helps show where Dale Kerr may publish in the future.
Co-authorship network of co-authors of Dale Kerr
This figure shows the co-authorship network connecting the top 25 collaborators of Dale Kerr. A scholar is included among the top collaborators of Dale Kerr 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 Dale Kerr. Dale Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 116 | |
| 3 | 0 | |
| 4 | CD40-induced growth inhibition in epithelial cells is mimicked by Epstein-Barr Virus-encoded LMP1: involvement of TRAF3 as a common mediator. | 183 |
| 5 | 13 | |
| 6 | 14 |
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.