Nilo Ikuta
Impact in
- Microbiology top 1%
- Microbial infections and disease research
- Animal Science and Zoology top 2%
- Animal Virus Infections Studies
Papers in
-
- Viral gastroenteritis research and epidemiology 20
- Co-authors
- Vagner Ricardo LungeAndré Salvador Kazantzi FonsecaAndréa RegnerMaricarmen Garcı́aS. H. KlevenSharon LevisohnDaniel SimonCláudio Wageck Canal
- Journals
- Avian Diseases (11 papers)Poultry Science (4 papers)Veterinary Microbiology (3 papers)Infection Genetics and Evolution (3 papers)Virus Research (2 papers)
- Partner nations
- BrazilUnited StatesSouth Africa
In The Last Decade
Nilo Ikuta
82 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Microbiology 312
- Animal Science and Zoology 305
- Endocrinology 114
- Molecular Medicine 98
- Epidemiology 619
Countries citing papers authored by Nilo Ikuta
This map shows the geographic impact of Nilo Ikuta'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 Nilo Ikuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilo Ikuta more than expected).
Fields of papers citing papers by Nilo Ikuta
This network shows the impact of papers produced by Nilo Ikuta. 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 Nilo Ikuta. The network helps show where Nilo Ikuta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nilo Ikuta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 4 | |
| 7 | 2019 | 11 | |
| 8 | 2017 | 23 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 91 | |
| 11 | 2014 | 29 | |
| 12 | 2011 | 5 | |
| 13 | 2011 | 27 | |
| 14 | 2009 | 13 | |
| 15 | Caracterização de fatores de virulência presentes em isolados de Escherichia coli provenientes da região Sul do Brasil | 2007 | 0 |
| 16 | Detecção de Listeria monocytogenes em amostras de queijo colonial maturadas a temperatura ambiente e sob refrigeração | 2006 | 0 |
| 17 | 2003 | 16 | |
| 18 | 2001 | 6 | |
| 19 | 2000 | 9 | |
| 20 | 1992 | 5 |
About Nilo Ikuta
Nilo Ikuta is a scholar working on Endocrinology, Infectious Diseases, Animal Science and Zoology, Microbiology and Food Science, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (22 papers), Viral gastroenteritis research and epidemiology (20 papers), Animal Virus Infections Studies (14 papers), Virus-based gene therapy research (12 papers), Plant Virus Research Studies (10 papers), Hepatitis B Virus Studies (9 papers), Microbial infections and disease research (8 papers) and Aquaculture disease management and microbiota (8 papers). The work is most often cited by research in Microbiology (312 citations), Animal Science and Zoology (305 citations), Endocrinology (114 citations), Molecular Medicine (98 citations) and Epidemiology (619 citations). Nilo Ikuta has collaborated with scholars based in Brazil, United States and South Africa. Frequent co-authors include Vagner Ricardo Lunge, André Salvador Kazantzi Fonseca, Andréa Regner, Maricarmen Garcı́a, S. H. Kleven, Sharon Levisohn, Daniel Simon, Cláudio Wageck Canal, Sílvia De Carli and Luiz S. Ozaki. Their work appears in journals such as Avian Diseases, Poultry Science, Veterinary Microbiology, Infection Genetics and Evolution and Virus 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.