Cristina Ibarra

2.3k citations
103 papers · 1.9k indexed · h-index 23

Cristina Ibarra

102 papers receiving 1.9k citations

Peers

Cristina Ibarra
Comparison fields: 5 of 104
  • Endocrinology 645
  • Infectious Diseases 509
  • Obstetrics and Gynecology 122
  • Genetics 380
  • Molecular Biology 764
Replace Takayuki Komatsu with:
Takayuki Komatsu Japan
Yunhao Tan United States
Sabrina Liberatori Italy
Li-Mei Chen United States
Marina S. Palermo Argentina
Balázs Rada United States
Robin M. Yates Canada
Kathleen M. George United States
Maarten F. de Jong Netherlands
Jennifer C. Chang United States
Cristina Ibarra relative to Takayuki Komatsu Japan Takayuki Komatsu's profile →
Citations per field
00.5×3.5×
Takayuki Komatsu · 1×
Citations per year

Countries citing papers authored by Cristina Ibarra

Since Specialization
Citations

This map shows the geographic impact of Cristina Ibarra'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 Cristina Ibarra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Ibarra more than expected).

Fields of papers citing papers by Cristina Ibarra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristina Ibarra. 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 Cristina Ibarra. The network helps show where Cristina Ibarra may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Cristina Ibarra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cristina Ibarra Line = papers co-authored together Cristina Ibarra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20223
4 20216
5 20215
6 20211
7 201810
8
Microbiological and serological control of Escherichia coli O157: H7 in kindergarten staff in Buenos Aires city and suburban areas.
20176
9 201318
10 201228
11
El manejo de la urea y su mecanismo de adaptación durante la enfermedad renal
20092
12 200819
13 200837
14
Caracterización del canal epitelial de sodio en sinciciotrofoblasto de placenta humana preeclamptica
200613
15
Papel de la toxina Shiga en el Síndrome Urémico Hemolítico
20064
16 20065
17 200511
18 200015
19 199518
20 199017

About Cristina Ibarra

Cristina Ibarra is a scholar working on Endocrinology, Infectious Diseases and Small Animals, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Escherichia coli research studies (51 papers), Viral gastroenteritis research and epidemiology (41 papers), Ion Transport and Channel Regulation (14 papers), Clostridium difficile and Clostridium perfringens research (11 papers), Complement system in diseases (9 papers), Ion channel regulation and function (9 papers), Infant Nutrition and Health (8 papers) and Vibrio bacteria research studies (7 papers). The work is most often cited by research in Endocrinology (645 citations), Infectious Diseases (509 citations) and Obstetrics and Gynecology (122 citations). Cristina Ibarra has collaborated with scholars based in Argentina, United States and Australia. Frequent co-authors include Elsa Zotta, Alicia E. Damiano, Claudia Silberstein, I.L. Reisin, Virginia Pistone Creydt, Horacio F. Cantiello, Silvia González‐Perrett, Kee‐Tae Kim, M. Amin Arnaout and Peter C. Harris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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.

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