Tania Giangregorio
About
In The Last Decade
Tania Giangregorio
9 papers receiving 86 citations
Peers
Comparison fields: 5 of 32
- Hematology 62
- Genetics 23
- Genetics 18
- Pulmonary and Respiratory Medicine 15
- Molecular Biology 14
Countries citing papers authored by Tania Giangregorio
This map shows the geographic impact of Tania Giangregorio'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 Tania Giangregorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tania Giangregorio more than expected).
Fields of papers citing papers by Tania Giangregorio
This network shows the impact of papers produced by Tania Giangregorio. 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 Tania Giangregorio. The network helps show where Tania Giangregorio may publish in the future.
Co-authorship network of co-authors of Tania Giangregorio
This figure shows the co-authorship network connecting the top 25 collaborators of Tania Giangregorio. A scholar is included among the top collaborators of Tania Giangregorio 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 Tania Giangregorio. Tania Giangregorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 41 | |
| 10 | 18 |
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.