Marc Sáez
About
In The Last Decade
Marc Sáez
10 papers receiving 501 citations
Peers
Comparison fields: 5 of 83
- Health, Toxicology and Mutagenesis 337
- General Health Professions 163
- Applied Microbiology and Biotechnology 99
- Physiology 74
- Molecular Medicine 62
Countries citing papers authored by Marc Sáez
This map shows the geographic impact of Marc Sáez'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 Marc Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Sáez more than expected).
Fields of papers citing papers by Marc Sáez
This network shows the impact of papers produced by Marc Sáez. 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 Marc Sáez. The network helps show where Marc Sáez may publish in the future.
Co-authorship network of co-authors of Marc Sáez
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Sáez. A scholar is included among the top collaborators of Marc Sáez 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 Marc Sáez. Marc Sáez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 12 | |
| 3 | 19 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 71 | |
| 7 | 5 | |
| 8 | 154 | |
| 9 | 18 | |
| 10 | 173 |
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.