Guido Massi
About
In The Last Decade
Guido Massi
69 papers receiving 987 citations
Peers
Comparison fields: 5 of 90
- Oncology 473
- Molecular Biology 225
- Cancer Research 220
- Epidemiology 177
- Dermatology 172
Countries citing papers authored by Guido Massi
This map shows the geographic impact of Guido Massi'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 Guido Massi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Massi more than expected).
Fields of papers citing papers by Guido Massi
This network shows the impact of papers produced by Guido Massi. 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 Guido Massi. The network helps show where Guido Massi may publish in the future.
Co-authorship network of co-authors of Guido Massi
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Massi. A scholar is included among the top collaborators of Guido Massi 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 Guido Massi. Guido Massi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | 22 | |
| 4 | 24 | |
| 5 | 49 | |
| 6 | Atypical thyroid nodules express both HBME-1 and Galectin-3, two phenotypic markers of papillary thyroid carcinoma. | 14 |
| 7 | 10 | |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 3 | |
| 11 | 65 | |
| 12 | 26 | |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 42 | |
| 16 | 10 | |
| 17 | 22 | |
| 18 | 23 | |
| 19 | 13 | |
| 20 | 5 |
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.