Karla Vega
About
In The Last Decade
Karla Vega
4 papers receiving 309 citations
Peers
Comparison fields: 5 of 69
- Plant Science 100
- Molecular Biology 84
- Complementary and alternative medicine 76
- Endocrinology, Diabetes and Metabolism 73
- Reproductive Medicine 73
Countries citing papers authored by Karla Vega
This map shows the geographic impact of Karla Vega'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 Karla Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karla Vega more than expected).
Fields of papers citing papers by Karla Vega
This network shows the impact of papers produced by Karla Vega. 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 Karla Vega. The network helps show where Karla Vega may publish in the future.
Co-authorship network of co-authors of Karla Vega
This figure shows the co-authorship network connecting the top 25 collaborators of Karla Vega. A scholar is included among the top collaborators of Karla Vega 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 Karla Vega. Karla Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 140 | |
| 3 | 123 | |
| 4 | Lepidium meyenii (Maca) improved semen parameters in adult men. | 63 |
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.