Elsa Zotta
- Molecular Biology
- Genetics top 5%
- Endocrinology top 2%
- Infectious Diseases top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Cristina IbarraAlicia E. DamianoI.L. ReisinClaudia SilbersteinSilvia González‐PerrettHoracio F. CantielloKee‐Tae KimM. Amin Arnaout
- Topics
- Escherichia coli research studies (24 papers)Viral gastroenteritis research and epidemiology (18 papers)Ion Transport and Channel Regulation (11 papers)
- Partner nations
- ArgentinaUnited StatesAustralia
In The Last Decade
Elsa Zotta
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 615
- Genetics 350
- Endocrinology 276
- Infectious Diseases 228
- Pathology and Forensic Medicine 180
Countries citing papers authored by Elsa Zotta
This map shows the geographic impact of Elsa Zotta'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 Elsa Zotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elsa Zotta more than expected).
Fields of papers citing papers by Elsa Zotta
This network shows the impact of papers produced by Elsa Zotta. 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 Elsa Zotta. The network helps show where Elsa Zotta may publish in the future.
Co-authorship network of co-authors of Elsa Zotta
This figure shows the co-authorship network connecting the top 25 collaborators of Elsa Zotta. A scholar is included among the top collaborators of Elsa Zotta 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 Elsa Zotta. Elsa Zotta 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 | 0 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 41 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | El manejo de la urea y su mecanismo de adaptación durante la enfermedad renal | 2 |
| 16 | 5 | |
| 17 | Caracterización del canal epitelial de sodio en sinciciotrofoblasto de placenta humana preeclamptica | 13 |
| 18 | Papel de la toxina Shiga en el Síndrome Urémico Hemolítico | 4 |
| 19 | 51 | |
| 20 | 15 |
About Elsa Zotta
Elsa Zotta is a scholar working on Endocrinology, Nephrology and Obstetrics and Gynecology, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (24 papers), Viral gastroenteritis research and epidemiology (18 papers) and Ion Transport and Channel Regulation (11 papers). The work is most often cited by research in Endocrinology (276 citations), Obstetrics and Gynecology (162 citations) and Nephrology (104 citations). Elsa Zotta has collaborated with scholars based in Argentina, United States and Australia. Frequent co-authors include Cristina Ibarra, Alicia E. Damiano, I.L. Reisin, Claudia Silberstein, Silvia González‐Perrett, Horacio F. Cantiello, Kee‐Tae Kim, M. Amin Arnaout, Peter C. Harris and Virginia Pistone Creydt. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.
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.