María Molina‐Vega
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Obstetrics and Gynecology top 5%
- Surgery
- Physiology
- Co-authors
- Francisco J. TinahonesAraceli Muñoz‐GarachAna María Gómez‐PérezMaría José Picón CésarIsabel Cornejo‐ParejaCarolina Gutiérrez‐RepisoIsabel Moreno‐IndiasJosé Carlos Fernández‐García
- Topics
- Gestational Diabetes Research and Management (13 papers)Hormonal and reproductive studies (8 papers)Pregnancy and preeclampsia studies (5 papers)
- Journals
- The Science of The Total EnvironmentInternational Journal of Molecular SciencesAmerican Journal of Obstetrics and Gynecology
- Partner nations
- SpainNorwayUnited States
In The Last Decade
María Molina‐Vega
38 papers receiving 452 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 167
- Molecular Biology 150
- Obstetrics and Gynecology 95
- Surgery 89
- Physiology 85
Countries citing papers authored by María Molina‐Vega
This map shows the geographic impact of María Molina‐Vega'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 María Molina‐Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Molina‐Vega more than expected).
Fields of papers citing papers by María Molina‐Vega
This network shows the impact of papers produced by María Molina‐Vega. 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 María Molina‐Vega. The network helps show where María Molina‐Vega may publish in the future.
Co-authorship network of co-authors of María Molina‐Vega
This figure shows the co-authorship network connecting the top 25 collaborators of María Molina‐Vega. A scholar is included among the top collaborators of María Molina‐Vega 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 María Molina‐Vega. María Molina‐Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 24 | |
| 11 | 32 | |
| 12 | 8 | |
| 13 | 45 | |
| 14 | 44 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 22 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 7 |
About María Molina‐Vega
María Molina‐Vega is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Anatomy, having authored 39 papers that have together received 462 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (13 papers), Hormonal and reproductive studies (8 papers) and Pregnancy and preeclampsia studies (5 papers). The work is most often cited by research in Obstetrics and Gynecology (95 citations), Endocrinology, Diabetes and Metabolism (167 citations) and Pharmacy (18 citations). María Molina‐Vega has collaborated with scholars based in Spain, Norway and United States. Frequent co-authors include Francisco J. Tinahones, Araceli Muñoz‐Garach, Ana María Gómez‐Pérez, María José Picón César, Isabel Cornejo‐Pareja, Carolina Gutiérrez‐Repiso, Isabel Moreno‐Indias, José Carlos Fernández‐García, Sonsoles Morcillo and Patricia Ruiz‐Limón. Their work appears in journals such as The Science of The Total Environment, International Journal of Molecular Sciences and American Journal of Obstetrics and Gynecology.
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.