Karen Culotta
About
In The Last Decade
Karen Culotta
8 papers receiving 280 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 137
- Immunology 67
- Spectroscopy 51
- Infectious Diseases 51
- Ecology 38
Countries citing papers authored by Karen Culotta
This map shows the geographic impact of Karen Culotta'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 Culotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen Culotta more than expected).
Fields of papers citing papers by Karen Culotta
This network shows the impact of papers produced by Karen Culotta. 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 Culotta. The network helps show where Karen Culotta may publish in the future.
Co-authorship network of co-authors of Karen Culotta
This figure shows the co-authorship network connecting the top 25 collaborators of Karen Culotta. A scholar is included among the top collaborators of Karen Culotta 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 Culotta. Karen Culotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 6 | |
| 3 | 38 | |
| 4 | 37 | |
| 5 | 10 | |
| 6 | 24 | |
| 7 | 44 | |
| 8 | L-Arginine regulates the expression of the T-cell receptor zeta chain (CD3zeta) in Jurkat cells. | 99 |
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.