M Valera Rubio
About
In The Last Decade
M Valera Rubio
7 papers receiving 238 citations
Peers
Comparison fields: 5 of 61
- Nutrition and Dietetics 92
- Clinical Psychology 84
- Physiology 67
- Pulmonary and Respiratory Medicine 59
- General Health Professions 58
Countries citing papers authored by M Valera Rubio
This map shows the geographic impact of M Valera Rubio'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 M Valera Rubio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Valera Rubio more than expected).
Fields of papers citing papers by M Valera Rubio
This network shows the impact of papers produced by M Valera Rubio. 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 M Valera Rubio. The network helps show where M Valera Rubio may publish in the future.
Co-authorship network of co-authors of M Valera Rubio
This figure shows the co-authorship network connecting the top 25 collaborators of M Valera Rubio. A scholar is included among the top collaborators of M Valera Rubio 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 M Valera Rubio. M Valera Rubio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 119 | |
| 7 | 127 | |
| 8 | The Social Dimension of Race | 6 |
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.