Tamara Sáez
Impact in
- Obstetrics and Gynecology top 1%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Nitric Oxide and Endothelin Effects
Papers in
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- Pregnancy and preeclampsia studies 21
- Gestational Diabetes Research and Management 8
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- Extracellular vesicles in disease 5
- Co-authors
- Luis Sobrevía (23 shared papers)Paul de Vos (5 shared papers)Marijke M. Faas (6 shared papers)Andrea Leiva (17 shared papers)Rocío Salsoso (16 shared papers)Fabián Pardo (16 shared papers)Carlos Sanhueza (10 shared papers)Fernando Toledo (8 shared papers)
In The Last Decade
Tamara Sáez
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Obstetrics and Gynecology 497
- Physiology 142
- Pediatrics, Perinatology and Child Health 231
- Cardiology and Cardiovascular Medicine 128
- Immunology 124
Countries citing papers authored by Tamara Sáez
This map shows the geographic impact of Tamara Sáez'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 Tamara Sáez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara Sáez more than expected).
Fields of papers citing papers by Tamara Sáez
This network shows the impact of papers produced by Tamara Sáez. 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 Tamara Sáez. The network helps show where Tamara Sáez may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara Sáez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 155 | |
| 2 | 2015 | 70 | |
| 3 | 2013 | 58 | |
| 4 | 2017 | 57 | |
| 5 | 2016 | 53 | |
| 6 | 2017 | 53 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 45 | |
| 9 | 2014 | 42 | |
| 10 | 2015 | 41 | |
| 11 | 2016 | 39 | |
| 12 | 2014 | 38 | |
| 13 | 2013 | 37 | |
| 14 | 2015 | 37 | |
| 15 | 2015 | 36 | |
| 16 | 2014 | 36 | |
| 17 | 2015 | 34 | |
| 18 | 2019 | 30 | |
| 19 | 2013 | 19 | |
| 20 | 2019 | 18 |
About Tamara Sáez
Tamara Sáez is a scholar working on Obstetrics and Gynecology, Molecular Biology, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Immunology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (21 papers), Gestational Diabetes Research and Management (8 papers), Birth, Development, and Health (7 papers), Extracellular vesicles in disease (5 papers), Adenosine and Purinergic Signaling (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Reproductive System and Pregnancy (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Obstetrics and Gynecology (497 citations), Physiology (142 citations), Pediatrics, Perinatology and Child Health (231 citations), Cardiology and Cardiovascular Medicine (128 citations) and Immunology (124 citations). Tamara Sáez has collaborated with scholars based in Chile, Australia and Spain. Frequent co-authors include Luis Sobrevía, Paul de Vos, Marijke M. Faas, Andrea Leiva, Rocío Salsoso, Fabián Pardo, Carlos Sanhueza, Fernando Toledo, Enrique Guzmán‐Gutiérrez and Luis Silva. Their work appears in journals such as Placenta, Molecular Aspects of Medicine, Current Vascular Pharmacology, Arteriosclerosis Thrombosis and Vascular Biology and Hypertension.
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.