Caitlin Nass
About
In The Last Decade
Caitlin Nass
18 papers receiving 385 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 269
- Surgery 140
- Pulmonary and Respiratory Medicine 97
- Nephrology 64
- Endocrinology, Diabetes and Metabolism 62
Countries citing papers authored by Caitlin Nass
This map shows the geographic impact of Caitlin Nass'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 Caitlin Nass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlin Nass more than expected).
Fields of papers citing papers by Caitlin Nass
This network shows the impact of papers produced by Caitlin Nass. 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 Caitlin Nass. The network helps show where Caitlin Nass may publish in the future.
Co-authorship network of co-authors of Caitlin Nass
This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin Nass. A scholar is included among the top collaborators of Caitlin Nass 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 Caitlin Nass. Caitlin Nass 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 | 34 | |
| 3 | 5 | |
| 4 | 81 | |
| 5 | 31 | |
| 6 | 91 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 36 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 15 | |
| 16 | 16 | |
| 17 | Glitazones and the potential improvement of lipid profiles in diabetes patients at high risk for cardiovascular disease. | 9 |
| 18 | 15 |
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.