Matteo Riva
About
In The Last Decade
Matteo Riva
19 papers receiving 415 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 219
- Immunology 113
- Physiology 81
- Endocrine and Autonomic Systems 70
- Epidemiology 67
Countries citing papers authored by Matteo Riva
This map shows the geographic impact of Matteo Riva'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 Matteo Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Riva more than expected).
Fields of papers citing papers by Matteo Riva
This network shows the impact of papers produced by Matteo Riva. 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 Matteo Riva. The network helps show where Matteo Riva may publish in the future.
Co-authorship network of co-authors of Matteo Riva
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Riva. A scholar is included among the top collaborators of Matteo Riva 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 Matteo Riva. Matteo Riva 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 | 5 | |
| 4 | 2 | |
| 5 | 41 | |
| 6 | CART is a novel glucose-dependent peptide with antidiabetic actions in humans | 1 |
| 7 | 10 | |
| 8 | 24 | |
| 9 | 30 | |
| 10 | 28 | |
| 11 | 1 | |
| 12 | 106 | |
| 13 | 73 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 19 | |
| 17 | 20 | |
| 18 | 19 | |
| 19 | 25 |
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.