Daniela López-Espíndola
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- Growth Hormone and Insulin-like Growth Factors 4
- Thyroid Disorders and Treatments 4
- Endocrine and Autonomic Systems top 10%
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- Pregnancy and preeclampsia studies 3
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- Birth, Development, and Health 4
- Neonatal and fetal brain pathology 2
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- Connexins and lens biology 3
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- Biochemical effects in animals 2
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- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Ana Guadaño‐FerrazJuan BernalCharles F. VergeSamuel RefetoffDorit LevCarmen Grijota-MartínezXiao-Hui LiaoElla Sugo
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsObstetrics and Gynecology
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Hypertension (2 papers)Journal of Cerebral Blood Flow & Metabolism (1 paper)
- Partner nations
- ChileUnited StatesSpain
In The Last Decade
Daniela López-Espíndola
12 papers receiving 329 citations
Peers
Comparison fields: 5 of 54
- Endocrinology, Diabetes and Metabolism 175
- Endocrine and Autonomic Systems 51
- Obstetrics and Gynecology 34
- Developmental Neuroscience 17
- Genetics 95
Countries citing papers authored by Daniela López-Espíndola
This map shows the geographic impact of Daniela López-Espíndola'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 Daniela López-Espíndola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela López-Espíndola more than expected).
Fields of papers citing papers by Daniela López-Espíndola
This network shows the impact of papers produced by Daniela López-Espíndola. 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 Daniela López-Espíndola. The network helps show where Daniela López-Espíndola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela López-Espíndola, 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 | 2023 | 9 | |
| 2 | 2022 | 7 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 23 | |
| 8 | 2019 | 60 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 31 | |
| 11 | 2017 | 30 | |
| 12 | 2014 | 119 |
About Daniela López-Espíndola
Daniela López-Espíndola is a scholar working on Obstetrics and Gynecology, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 12 papers that have together received 331 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Birth, Development, and Health (4 papers), Thyroid Disorders and Treatments (4 papers), Pregnancy and preeclampsia studies (3 papers), Connexins and lens biology (3 papers), Neonatal and fetal brain pathology (2 papers), Biochemical effects in animals (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (175 citations), Endocrine and Autonomic Systems (51 citations) and Obstetrics and Gynecology (34 citations). Daniela López-Espíndola has collaborated with scholars based in Chile, United States and Spain. Frequent co-authors include Ana Guadaño‐Ferraz, Juan Bernal, Charles F. Verge, Samuel Refetoff, Dorit Lev, Carmen Grijota-Martínez, Xiao-Hui Liao, Ella Sugo, Theo J. Visser and Domenico Salvatore. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and Journal of Cerebral Blood Flow & 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.