Dascha C. Weir
About
In The Last Decade
Dascha C. Weir
9 papers receiving 327 citations
Peers
Comparison fields: 5 of 40
- Gastroenterology 227
- Epidemiology 186
- Surgery 162
- Genetics 96
- Immunology 71
Countries citing papers authored by Dascha C. Weir
This map shows the geographic impact of Dascha C. Weir'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 Dascha C. Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dascha C. Weir more than expected).
Fields of papers citing papers by Dascha C. Weir
This network shows the impact of papers produced by Dascha C. Weir. 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 Dascha C. Weir. The network helps show where Dascha C. Weir may publish in the future.
Co-authorship network of co-authors of Dascha C. Weir
This figure shows the co-authorship network connecting the top 25 collaborators of Dascha C. Weir. A scholar is included among the top collaborators of Dascha C. Weir 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 Dascha C. Weir. Dascha C. Weir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 19 | |
| 4 | 0 | |
| 5 | 14 | |
| 6 | 70 | |
| 7 | 96 | |
| 8 | 29 | |
| 9 | 11 | |
| 10 | 74 |
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.