Sergio Ménendez
About
In The Last Decade
Sergio Ménendez
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Molecular Biology 1.2k
- Oncology 343
- Cancer Research 173
- Physiology 130
- Surgery 106
Countries citing papers authored by Sergio Ménendez
This map shows the geographic impact of Sergio Ménendez'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 Sergio Ménendez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Ménendez more than expected).
Fields of papers citing papers by Sergio Ménendez
This network shows the impact of papers produced by Sergio Ménendez. 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 Sergio Ménendez. The network helps show where Sergio Ménendez may publish in the future.
Co-authorship network of co-authors of Sergio Ménendez
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Ménendez. A scholar is included among the top collaborators of Sergio Ménendez 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 Sergio Ménendez. Sergio Ménendez 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 | 26 | |
| 3 | 40 | |
| 4 | 31 | |
| 5 | 21 | |
| 6 | 46 | |
| 7 | 18 | |
| 8 | 40 | |
| 9 | 68 | |
| 10 | 64 | |
| 11 | Linking the p53 tumour suppressor pathway to somatic cell reprogramming breakdown → | 867 |
| 12 | 26 | |
| 13 | 62 | |
| 14 | 11 | |
| 15 | 26 |
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.