Zulma Casas
About
In The Last Decade
Zulma Casas
6 papers receiving 436 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 151
- Physiology 98
- Neurology 72
- Complementary and alternative medicine 69
- Biochemistry 68
Countries citing papers authored by Zulma Casas
This map shows the geographic impact of Zulma Casas'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 Zulma Casas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zulma Casas more than expected).
Fields of papers citing papers by Zulma Casas
This network shows the impact of papers produced by Zulma Casas. 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 Zulma Casas. The network helps show where Zulma Casas may publish in the future.
Co-authorship network of co-authors of Zulma Casas
This figure shows the co-authorship network connecting the top 25 collaborators of Zulma Casas. A scholar is included among the top collaborators of Zulma Casas 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 Zulma Casas. Zulma Casas 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 | 21 | |
| 3 | 37 | |
| 4 | 60 | |
| 5 | 3 | |
| 6 | 229 | |
| 7 | 100 |
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.