E S Dye
About
In The Last Decade
E S Dye
12 papers receiving 325 citations
Peers
Comparison fields: 5 of 70
- Immunology 205
- Oncology 142
- Molecular Biology 88
- Infectious Diseases 60
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by E S Dye
This map shows the geographic impact of E S Dye'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 E S Dye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E S Dye more than expected).
Fields of papers citing papers by E S Dye
This network shows the impact of papers produced by E S Dye. 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 E S Dye. The network helps show where E S Dye may publish in the future.
Co-authorship network of co-authors of E S Dye
This figure shows the co-authorship network connecting the top 25 collaborators of E S Dye. A scholar is included among the top collaborators of E S Dye 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 E S Dye. E S Dye 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 | 20 | |
| 3 | 13 | |
| 4 | Ly 1+2- suppressor T cells down-regulate the generation of Ly 1-2+ effector T cells during progressive growth of the P815 mastocytoma. | 41 |
| 5 | 20 | |
| 6 | 96 | |
| 7 | 35 | |
| 8 | 55 | |
| 9 | 10 | |
| 10 | 31 | |
| 11 | 10 | |
| 12 | 17 | |
| 13 | 34 |
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.