Pilar Alamá
- Reproductive Medicine top 0.2%
- Immunology top 1%
- Public Health, Environmental and Occupational Health top 1%
- Obstetrics and Gynecology top 0.5%
- Pediatrics, Perinatology and Child Health top 2%
- Co-authors
- António PellicerCarlos SimónJosé Antonio Martínez-ConejeroJ.A. HorcajadasFelipe VilellaElena LabartaInmaculada MorenoPatricia Díaz-Gimeno
- Topics
- Reproductive Biology and Fertility (24 papers)Ovarian function and disorders (24 papers)Reproductive System and Pregnancy (20 papers)
- Journals
- Nature MedicineJournal of Clinical OncologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Pilar Alamá
47 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Reproductive Medicine 1.9k
- Immunology 1.6k
- Public Health, Environmental and Occupational Health 1.3k
- Obstetrics and Gynecology 692
- Pediatrics, Perinatology and Child Health 565
Countries citing papers authored by Pilar Alamá
This map shows the geographic impact of Pilar Alamá'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 Pilar Alamá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pilar Alamá more than expected).
Fields of papers citing papers by Pilar Alamá
This network shows the impact of papers produced by Pilar Alamá. 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 Pilar Alamá. The network helps show where Pilar Alamá may publish in the future.
Co-authorship network of co-authors of Pilar Alamá
This figure shows the co-authorship network connecting the top 25 collaborators of Pilar Alamá. A scholar is included among the top collaborators of Pilar Alamá 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 Pilar Alamá. Pilar Alamá 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 71 | |
| 6 | 16 | |
| 7 | Prediction of Recurrent Pregnancy Loss by a New Thrombophilia Based Genetic Risk Score | 1 |
| 8 | 49 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | Evidence that the endometrial microbiota has an effect on implantation success or failurebreakdown → | 592 |
| 12 | 1 | |
| 13 | 49 | |
| 14 | 28 | |
| 15 | 2 | |
| 16 | 263 | |
| 17 | 68 | |
| 18 | 95 | |
| 19 | 21 | |
| 20 | 27 |
About Pilar Alamá
Pilar Alamá is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (24 papers), Ovarian function and disorders (24 papers) and Reproductive System and Pregnancy (20 papers). The work is most often cited by research in Reproductive Medicine (1.9k citations), Obstetrics and Gynecology (692 citations) and Immunology (1.6k citations). Pilar Alamá has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include António Pellicer, Carlos Simón, José Antonio Martínez-Conejero, J.A. Horcajadas, Felipe Vilella, Elena Labarta, Inmaculada Moreno, Patricia Díaz-Gimeno, Ernesto Bosch and Francisco J. Esteban. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.