José Ignacio Labarta
Impact in
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
- Ovarian function and disorders
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- Growth Hormone and Insulin-like Growth Factors
Papers in
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- Hypothalamic control of reproductive hormones 3
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- Growth Hormone and Insulin-like Growth Factors 3
- Hormonal and reproductive studies 2
- Co-authors
- Raquel CorripioJesús ArgenteRamón CañeteLidia Castro-FeijóoLeandro Soriano-GuillénE MayayoEkaterina KoledovaLuis Fernández-Luque
In The Last Decade
José Ignacio Labarta
14 papers receiving 290 citations
Peers
Comparison fields: 5 of 70
- Reproductive Medicine 119
- Endocrinology, Diabetes and Metabolism 55
- Genetics 75
- Pediatrics, Perinatology and Child Health 45
- Molecular Biology 120
Countries citing papers authored by José Ignacio Labarta
This map shows the geographic impact of José Ignacio Labarta'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 José Ignacio Labarta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Ignacio Labarta more than expected).
Fields of papers citing papers by José Ignacio Labarta
This network shows the impact of papers produced by José Ignacio Labarta. 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 José Ignacio Labarta. The network helps show where José Ignacio Labarta may publish in the future.
Co-authors
The 25 scholars most cited alongside José Ignacio Labarta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2020 | 35 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 6 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 0 | |
| 10 | 2010 | 125 | |
| 11 | 2009 | 31 | |
| 12 | Study of apoptosis and related proteins, CRH and hpGH in placentas of newborns small for gestational age (SGA). | 2009 | 9 |
| 13 | 2008 | 5 | |
| 14 | Childhood-onset congenital adrenal hyperplasia: long-term outcome and optimization of therapy. | 2004 | 9 |
| 15 | 2004 | 2 | |
| 16 | 2002 | 11 |
About José Ignacio Labarta
José Ignacio Labarta is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 16 papers that have together received 297 indexed citations. Recurring topics across this work include Birth, Development, and Health (5 papers), Sexual Differentiation and Disorders (3 papers), Hypothalamic control of reproductive hormones (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pregnancy and preeclampsia studies (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Tyrosine Phosphatases (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Reproductive Medicine (119 citations), Endocrinology, Diabetes and Metabolism (55 citations), Genetics (75 citations), Pediatrics, Perinatology and Child Health (45 citations) and Molecular Biology (120 citations). José Ignacio Labarta has collaborated with scholars based in Spain, Qatar and Germany. Frequent co-authors include Raquel Corripio, Jesús Argente, Ramón Cañete, Lidia Castro-Feijóo, Leandro Soriano-Guillén, E Mayayo, Ekaterina Koledova, Luis Fernández-Luque, Ángel Ferrández and Carmen Rueda. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, JMIR mhealth and uhealth, Pediatric Research, Catalysis Today and Reproductive Toxicology.
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.