Alecia Seliga
About
In The Last Decade
Alecia Seliga
7 papers receiving 430 citations
Peers
Comparison fields: 5 of 83
- Neurology 155
- Physiology 107
- Molecular Biology 93
- Endocrinology, Diabetes and Metabolism 54
- Epidemiology 52
Countries citing papers authored by Alecia Seliga
This map shows the geographic impact of Alecia Seliga'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 Alecia Seliga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alecia Seliga more than expected).
Fields of papers citing papers by Alecia Seliga
This network shows the impact of papers produced by Alecia Seliga. 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 Alecia Seliga. The network helps show where Alecia Seliga may publish in the future.
Co-authorship network of co-authors of Alecia Seliga
This figure shows the co-authorship network connecting the top 25 collaborators of Alecia Seliga. A scholar is included among the top collaborators of Alecia Seliga 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 Alecia Seliga. Alecia Seliga 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 | 9 | |
| 3 | 25 | |
| 4 | 43 | |
| 5 | 95 | |
| 6 | 5 | |
| 7 | 231 | |
| 8 | 28 |
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.