Esperanza Berensztein
- Molecular Biology
- Genetics top 10%
- Reproductive Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Alicia BelgoroskyMarco A. RivarolaNora SaracoMaría Sonia BaquedanoRoxana MarinoGabriela GuercioMariana CostanzoMaría Teresa García de Dávila
- Topics
- Sexual Differentiation and Disorders (15 papers)Sperm and Testicular Function (12 papers)Testicular diseases and treatments (10 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismClinical ChemistryFrontiers in Immunology
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
Esperanza Berensztein
33 papers receiving 592 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 316
- Genetics 236
- Reproductive Medicine 229
- Endocrinology, Diabetes and Metabolism 168
- Surgery 116
Countries citing papers authored by Esperanza Berensztein
This map shows the geographic impact of Esperanza Berensztein'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 Esperanza Berensztein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esperanza Berensztein more than expected).
Fields of papers citing papers by Esperanza Berensztein
This network shows the impact of papers produced by Esperanza Berensztein. 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 Esperanza Berensztein. The network helps show where Esperanza Berensztein may publish in the future.
Co-authorship network of co-authors of Esperanza Berensztein
This figure shows the co-authorship network connecting the top 25 collaborators of Esperanza Berensztein. A scholar is included among the top collaborators of Esperanza Berensztein 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 Esperanza Berensztein. Esperanza Berensztein 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 | 29 | |
| 3 | 10 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 30 | |
| 10 | 53 | |
| 11 | 24 | |
| 12 | 5 | |
| 13 | 79 | |
| 14 | 40 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 10 | |
| 18 | 30 | |
| 19 | 12 | |
| 20 | 12 |
About Esperanza Berensztein
Esperanza Berensztein is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 34 papers that have together received 598 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (15 papers), Sperm and Testicular Function (12 papers) and Testicular diseases and treatments (10 papers). The work is most often cited by research in Reproductive Medicine (229 citations), Endocrinology, Diabetes and Metabolism (168 citations) and Urology (56 citations). Esperanza Berensztein has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include Alicia Belgorosky, Marco A. Rivarola, Nora Saraco, María Sonia Baquedano, Roxana Marino, Gabriela Guercio, Mariana Costanzo, María Teresa García de Dávila, Roberto Ponzio and Pablo Ramírez. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and Frontiers in Immunology.
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.