Claudia Mechi
About
In The Last Decade
Claudia Mechi
12 papers receiving 144 citations
Peers
Comparison fields: 5 of 40
- Pathology and Forensic Medicine 99
- Oncology 51
- Neurology 49
- Molecular Biology 35
- Cellular and Molecular Neuroscience 26
Countries citing papers authored by Claudia Mechi
This map shows the geographic impact of Claudia Mechi'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 Claudia Mechi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Mechi more than expected).
Fields of papers citing papers by Claudia Mechi
This network shows the impact of papers produced by Claudia Mechi. 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 Claudia Mechi. The network helps show where Claudia Mechi may publish in the future.
Co-authorship network of co-authors of Claudia Mechi
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Mechi. A scholar is included among the top collaborators of Claudia Mechi 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 Claudia Mechi. Claudia Mechi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 11 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 20 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | 31 | |
| 12 | 8 |
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.