Leopoldo Saggin
About
In The Last Decade
Leopoldo Saggin
13 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.0k
- Cardiology and Cardiovascular Medicine 471
- Physiology 232
- Cell Biology 221
- Cellular and Molecular Neuroscience 185
Countries citing papers authored by Leopoldo Saggin
This map shows the geographic impact of Leopoldo Saggin'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 Leopoldo Saggin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leopoldo Saggin more than expected).
Fields of papers citing papers by Leopoldo Saggin
This network shows the impact of papers produced by Leopoldo Saggin. 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 Leopoldo Saggin. The network helps show where Leopoldo Saggin may publish in the future.
Co-authorship network of co-authors of Leopoldo Saggin
This figure shows the co-authorship network connecting the top 25 collaborators of Leopoldo Saggin. A scholar is included among the top collaborators of Leopoldo Saggin 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 Leopoldo Saggin. Leopoldo Saggin 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 | 6 | |
| 3 | 4 | |
| 4 | 99 | |
| 5 | 122 | |
| 6 | 45 | |
| 7 | Three myosin heavy chain isoforms in type 2 skeletal muscle fibres breakdown → | 832 |
| 8 | 29 | |
| 9 | 195 | |
| 10 | 38 | |
| 11 | 4 | |
| 12 | 14 | |
| 13 | 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.