Carolina Pepe
- Genetics
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Reproductive Medicine top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Nora SaracoAlicia BelgoroskyMarco A. RivarolaGabriela GuercioElisa VaianiRoxana MarinoGustavo E. RomeroMaría Sonia Baquedano
- Topics
- Neonatal Health and Biochemistry (4 papers)Astrophysical Phenomena and Observations (4 papers)Hemoglobinopathies and Related Disorders (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismFood ChemistryMonthly Notices of the Royal Astronomical Society
- Partner nations
- ArgentinaItalyUnited States
In The Last Decade
Carolina Pepe
21 papers receiving 420 citations
Peers
Comparison fields: 5 of 77
- Genetics 171
- Molecular Biology 156
- Endocrinology, Diabetes and Metabolism 90
- Reproductive Medicine 86
- Public Health, Environmental and Occupational Health 55
Countries citing papers authored by Carolina Pepe
This map shows the geographic impact of Carolina Pepe'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 Carolina Pepe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Pepe more than expected).
Fields of papers citing papers by Carolina Pepe
This network shows the impact of papers produced by Carolina Pepe. 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 Carolina Pepe. The network helps show where Carolina Pepe may publish in the future.
Co-authorship network of co-authors of Carolina Pepe
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Pepe. A scholar is included among the top collaborators of Carolina Pepe 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 Carolina Pepe. Carolina Pepe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 43 | |
| 13 | 97 | |
| 14 | 19 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 20 | |
| 19 | 69 | |
| 20 | [Seroprevalence of Chagas disease in 17 rural communities of "Monte Impenetrable", Chaco Province]. | 22 |
About Carolina Pepe
Carolina Pepe is a scholar working on Genetics, Hematology and Clinical Biochemistry, having authored 25 papers that have together received 427 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (4 papers), Astrophysical Phenomena and Observations (4 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Reproductive Medicine (86 citations), Genetics (171 citations) and Endocrinology, Diabetes and Metabolism (90 citations). Carolina Pepe has collaborated with scholars based in Argentina, Italy and United States. Frequent co-authors include Nora Saraco, Alicia Belgorosky, Marco A. Rivarola, Gabriela Guercio, Elisa Vaiani, Roxana Marino, Gustavo E. Romero, María Sonia Baquedano, Gabriela S. Vila and Esperanza Berensztein. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Food Chemistry and Monthly Notices of the Royal Astronomical Society.
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.