Lídia Bardia
About
In The Last Decade
Lídia Bardia
6 papers receiving 179 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Biomedical Engineering 71
- Condensed Matter Physics 61
- Molecular Biology 52
- Cellular and Molecular Neuroscience 31
- Oncology 28
Countries citing papers authored by Lídia Bardia
This map shows the geographic impact of Lídia Bardia'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 Lídia Bardia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lídia Bardia more than expected).
Fields of papers citing papers by Lídia Bardia
This network shows the impact of papers produced by Lídia Bardia. 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 Lídia Bardia. The network helps show where Lídia Bardia may publish in the future.
Co-authorship network of co-authors of Lídia Bardia
This figure shows the co-authorship network connecting the top 25 collaborators of Lídia Bardia. A scholar is included among the top collaborators of Lídia Bardia 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 Lídia Bardia. Lídia Bardia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Urease-powered nanobots for radionuclide bladder cancer therapy breakdown → | 97 |
| 2 | 4 | |
| 3 | 40 | |
| 4 | 10 | |
| 5 | 21 | |
| 6 | 8 |
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.