Jill Skepner
About
In The Last Decade
Jill Skepner
7 papers receiving 684 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Immunology 390
- Molecular Biology 212
- Oncology 164
- Cancer Research 55
- Genetics 51
Countries citing papers authored by Jill Skepner
This map shows the geographic impact of Jill Skepner'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 Jill Skepner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jill Skepner more than expected).
Fields of papers citing papers by Jill Skepner
This network shows the impact of papers produced by Jill Skepner. 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 Jill Skepner. The network helps show where Jill Skepner may publish in the future.
Co-authorship network of co-authors of Jill Skepner
This figure shows the co-authorship network connecting the top 25 collaborators of Jill Skepner. A scholar is included among the top collaborators of Jill Skepner 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 Jill Skepner. Jill Skepner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Modulation of EZH2 expression in T cells improves efficacy of anti–CTLA-4 therapy breakdown → | 182 |
| 2 | 28 | |
| 3 | 14 | |
| 4 | 281 | |
| 5 | 115 | |
| 6 | 49 | |
| 7 | 21 |
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.