Deanna Gill
About
In The Last Decade
Deanna Gill
10 papers receiving 475 citations
Peers
Comparison fields: 5 of 76
- Infectious Diseases 316
- Cardiology and Cardiovascular Medicine 206
- Neurology 199
- Oncology 68
- Molecular Biology 61
Countries citing papers authored by Deanna Gill
This map shows the geographic impact of Deanna Gill'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 Deanna Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna Gill more than expected).
Fields of papers citing papers by Deanna Gill
This network shows the impact of papers produced by Deanna Gill. 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 Deanna Gill. The network helps show where Deanna Gill may publish in the future.
Co-authorship network of co-authors of Deanna Gill
This figure shows the co-authorship network connecting the top 25 collaborators of Deanna Gill. A scholar is included among the top collaborators of Deanna Gill 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 Deanna Gill. Deanna Gill 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 | 22 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 335 | |
| 9 | 85 | |
| 10 | 27 | |
| 11 | 17 |
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.