T. Prayer Galetti
About
In The Last Decade
T. Prayer Galetti
21 papers receiving 781 citations
Peers
Comparison fields: 5 of 51
- Surgery 621
- Urology 303
- Pulmonary and Respiratory Medicine 233
- Rheumatology 223
- Molecular Biology 160
Countries citing papers authored by T. Prayer Galetti
This map shows the geographic impact of T. Prayer Galetti'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 T. Prayer Galetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Prayer Galetti more than expected).
Fields of papers citing papers by T. Prayer Galetti
This network shows the impact of papers produced by T. Prayer Galetti. 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 T. Prayer Galetti. The network helps show where T. Prayer Galetti may publish in the future.
Co-authorship network of co-authors of T. Prayer Galetti
This figure shows the co-authorship network connecting the top 25 collaborators of T. Prayer Galetti. A scholar is included among the top collaborators of T. Prayer Galetti 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 T. Prayer Galetti. T. Prayer Galetti 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 97 | |
| 9 | 79 | |
| 10 | 81 | |
| 11 | 56 | |
| 12 | 52 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | 33 | |
| 16 | 1 | |
| 17 | 313 | |
| 18 | 0 | |
| 19 | 17 | |
| 20 | Characterization of two cell lines with distinct phenotypes and genotypes established from a patient with renal cell carcinoma. | 29 |
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.