Claudia Jambrina
About
In The Last Decade
Claudia Jambrina
7 papers receiving 136 citations
Peers
Comparison fields: 5 of 40
- Molecular Biology 69
- Physiology 66
- Genetics 45
- Epidemiology 34
- Surgery 28
Countries citing papers authored by Claudia Jambrina
This map shows the geographic impact of Claudia Jambrina'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 Claudia Jambrina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Jambrina more than expected).
Fields of papers citing papers by Claudia Jambrina
This network shows the impact of papers produced by Claudia Jambrina. 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 Claudia Jambrina. The network helps show where Claudia Jambrina may publish in the future.
Co-authorship network of co-authors of Claudia Jambrina
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Jambrina. A scholar is included among the top collaborators of Claudia Jambrina 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 Claudia Jambrina. Claudia Jambrina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 16 | |
| 6 | 28 | |
| 7 | 65 |
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.