Isabel Chinen
- Endocrinology top 0.1%
- Infectious Diseases top 1%
- Food Science top 1%
- Biotechnology top 2%
- Ecology top 10%
- Co-authors
- Marta RivasElizabeth MiliwebskyGerardo A. LeottaAriela BaschkierClaudia TomaM RivasMasaaki IwanagaNatalia Deza
- Topics
- Escherichia coli research studies (50 papers)Viral gastroenteritis research and epidemiology (44 papers)Salmonella and Campylobacter epidemiology (15 papers)
- Journals
- Proceedings of the National Academy of SciencesApplied and Environmental MicrobiologyJournal of Clinical Microbiology
- Partner nations
- ArgentinaUnited StatesJapan
In The Last Decade
Isabel Chinen
64 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 84
- Endocrinology 1.5k
- Infectious Diseases 1.2k
- Food Science 696
- Biotechnology 329
- Ecology 257
Countries citing papers authored by Isabel Chinen
This map shows the geographic impact of Isabel Chinen'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 Isabel Chinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Chinen more than expected).
Fields of papers citing papers by Isabel Chinen
This network shows the impact of papers produced by Isabel Chinen. 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 Isabel Chinen. The network helps show where Isabel Chinen may publish in the future.
Co-authorship network of co-authors of Isabel Chinen
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Chinen. A scholar is included among the top collaborators of Isabel Chinen 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 Isabel Chinen. Isabel Chinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 29 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | Aislamiento de Escherichia coli O145:NM en casos de síndrome urémico hemolítico | 0 |
| 11 | 28 | |
| 12 | 59 | |
| 13 | Asociación del síndrome urémico hemolítico con la infección por Escherichia coli productor de toxina Shiga | 4 |
| 14 | Identificación, biotipificación y caracterización de cepas de Pasteurella multocida aisladas en la Argentina | 8 |
| 15 | 125 | |
| 16 | Epidemiologia del síndrome urémco hemolítico en Argentina: diagnóstico del agente etiológico, reservorios y vías de transmissión | 79 |
| 17 | 23 | |
| 18 | 96 | |
| 19 | 31 | |
| 20 | 13 |
About Isabel Chinen
Isabel Chinen is a scholar working on Endocrinology, Infectious Diseases and Biotechnology, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Escherichia coli research studies (50 papers), Viral gastroenteritis research and epidemiology (44 papers) and Salmonella and Campylobacter epidemiology (15 papers). The work is most often cited by research in Endocrinology (1.5k citations), Infectious Diseases (1.2k citations) and Food Science (696 citations). Isabel Chinen has collaborated with scholars based in Argentina, United States and Japan. Frequent co-authors include Marta Rivas, Elizabeth Miliwebsky, Gerardo A. Leotta, Ariela Baschkier, Claudia Toma, M Rivas, Masaaki Iwanaga, Natalia Deza, Marcelo Masana and Naomi Higa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Journal of Clinical Microbiology.
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.