Cristina Seki
- Agronomy and Crop Science top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Molecular Biology
- Infectious Diseases
- Co-authors
- Blanca RobioloEduardo MaradeiNora MattionOsvaldo PerioloJosé La TorrePablo R. GrigeraJ.L. La TorreEliana Smitsaart
- Topics
- Animal Disease Management and Epidemiology (17 papers)Vector-Borne Animal Diseases (14 papers)Viral Infections and Immunology Research (12 papers)
- Cited by
- Agronomy and Crop ScienceEcology, Evolution, Behavior and SystematicsCardiology and Cardiovascular Medicine
- Partner nations
- ArgentinaUnited StatesUnited Kingdom
In The Last Decade
Cristina Seki
17 papers receiving 527 citations
Peers
Comparison fields: 5 of 33
- Agronomy and Crop Science 513
- Cardiology and Cardiovascular Medicine 446
- Ecology, Evolution, Behavior and Systematics 429
- Molecular Biology 70
- Infectious Diseases 35
Countries citing papers authored by Cristina Seki
This map shows the geographic impact of Cristina Seki'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 Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Seki more than expected).
Fields of papers citing papers by Cristina Seki
This network shows the impact of papers produced by Cristina Seki. 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 Seki. The network helps show where Cristina Seki may publish in the future.
Co-authorship network of co-authors of Cristina Seki
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Seki. A scholar is included among the top collaborators of Cristina Seki 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 Cristina Seki. Cristina Seki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 23 | |
| 4 | 29 | |
| 5 | 15 | |
| 6 | 37 | |
| 7 | 32 | |
| 8 | 15 | |
| 9 | 13 | |
| 10 | 60 | |
| 11 | 27 | |
| 12 | 18 | |
| 13 | 45 | |
| 14 | 89 | |
| 15 | 40 | |
| 16 | 36 | |
| 17 | 43 |
About Cristina Seki
Cristina Seki is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 540 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (17 papers), Vector-Borne Animal Diseases (14 papers) and Viral Infections and Immunology Research (12 papers). The work is most often cited by research in Agronomy and Crop Science (513 citations), Ecology, Evolution, Behavior and Systematics (429 citations) and Cardiology and Cardiovascular Medicine (446 citations). Cristina Seki has collaborated with scholars based in Argentina, United States and United Kingdom. Frequent co-authors include Blanca Robiolo, Eduardo Maradei, Nora Mattion, Osvaldo Periolo, José La Torre, Pablo R. Grigera, J.L. La Torre, Eliana Smitsaart, Alejandra Victoria Capozzo and Sergio Duffy. Their work appears in journals such as Vaccine, Veterinary Microbiology and Revue Scientifique et Technique de l OIE.
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.