Tucker Ezell
About
In The Last Decade
Tucker Ezell
5 papers receiving 107 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 56
- Hematology 27
- Oncology 21
- Organic Chemistry 15
- Genetics 14
Countries citing papers authored by Tucker Ezell
This map shows the geographic impact of Tucker Ezell'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 Tucker Ezell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tucker Ezell more than expected).
Fields of papers citing papers by Tucker Ezell
This network shows the impact of papers produced by Tucker Ezell. 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 Tucker Ezell. The network helps show where Tucker Ezell may publish in the future.
Co-authorship network of co-authors of Tucker Ezell
This figure shows the co-authorship network connecting the top 25 collaborators of Tucker Ezell. A scholar is included among the top collaborators of Tucker Ezell 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 Tucker Ezell. Tucker Ezell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 38 | |
| 4 | 23 | |
| 5 | Down-regulation of cell adhesion molecules LFA-1 and ICAM-1 after in vitro treatment with the anti-TNF-alpha agent thalidomide. | 45 |
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.