Kelly Watters
About
In The Last Decade
Kelly Watters
9 papers receiving 553 citations
Peers
Comparison fields: 5 of 68
- Epidemiology 247
- Cardiology and Cardiovascular Medicine 171
- Physiology 158
- Infectious Diseases 140
- Immunology 137
Countries citing papers authored by Kelly Watters
This map shows the geographic impact of Kelly Watters'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 Kelly Watters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelly Watters more than expected).
Fields of papers citing papers by Kelly Watters
This network shows the impact of papers produced by Kelly Watters. 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 Kelly Watters. The network helps show where Kelly Watters may publish in the future.
Co-authorship network of co-authors of Kelly Watters
This figure shows the co-authorship network connecting the top 25 collaborators of Kelly Watters. A scholar is included among the top collaborators of Kelly Watters 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 Kelly Watters. Kelly Watters is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 15 | |
| 3 | 28 | |
| 4 | 69 | |
| 5 | 51 | |
| 6 | 28 | |
| 7 | 286 | |
| 8 | 6 | |
| 9 | 68 |
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.