Andrea Toell
About
In The Last Decade
Andrea Toell
10 papers receiving 338 citations
Peers
Comparison fields: 5 of 59
- Pathology and Forensic Medicine 160
- Genetics 142
- Molecular Biology 116
- Nephrology 77
- Oncology 69
Countries citing papers authored by Andrea Toell
This map shows the geographic impact of Andrea Toell'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 Andrea Toell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Toell more than expected).
Fields of papers citing papers by Andrea Toell
This network shows the impact of papers produced by Andrea Toell. 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 Andrea Toell. The network helps show where Andrea Toell may publish in the future.
Co-authorship network of co-authors of Andrea Toell
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Toell. A scholar is included among the top collaborators of Andrea Toell 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 Andrea Toell. Andrea Toell 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 | First siRNA library screening in hard-to-transfect HUVEC cells. | 13 |
| 3 | 51 | |
| 4 | 2 | |
| 5 | 54 | |
| 6 | 52 | |
| 7 | 85 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | 66 |
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.