Esperanza Núñez
About
In The Last Decade
Esperanza Núñez
4 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Molecular Biology 1.1k
- Cancer Research 416
- Plant Science 163
- Genetics 150
- Immunology 63
Countries citing papers authored by Esperanza Núñez
This map shows the geographic impact of Esperanza Núñez'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 Esperanza Núñez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esperanza Núñez more than expected).
Fields of papers citing papers by Esperanza Núñez
This network shows the impact of papers produced by Esperanza Núñez. 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 Esperanza Núñez. The network helps show where Esperanza Núñez may publish in the future.
Co-authorship network of co-authors of Esperanza Núñez
This figure shows the co-authorship network connecting the top 25 collaborators of Esperanza Núñez. A scholar is included among the top collaborators of Esperanza Núñez 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 Esperanza Núñez. Esperanza Núñez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Functional roles of enhancer RNAs for oestrogen-dependent transcriptional activation breakdown → | 755 |
| 2 | 37 | |
| 3 | 231 | |
| 4 | 212 |
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.