I. Oña
Impact in
- Plant Science top 2%
- Plant-Microbe Interactions and Immunity
- Plant Pathogenic Bacteria Studies
- Plant Disease Resistance and Genetics
- Legume Nitrogen Fixing Symbiosis
- Plant Virus Research Studies
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Plant-Microbe Interactions and Immunity 9
- Plant Disease Resistance and Genetics 5
- Plant Pathogenic Bacteria Studies 4
- Legume Nitrogen Fixing Symbiosis 2
- Wheat and Barley Genetics and Pathology 1
-
- Plant tissue culture and regeneration 2
- Co-authors
- T. W. Mew (3 shared papers)Swapan K. Datta (4 shared papers)Norman Oliva (3 shared papers)Karabi Datta (3 shared papers)Subbaratnam Muthukrishnan (2 shared papers)Rethinasamy Velazhahan (2 shared papers)T. W. Mew (5 shared papers)Jan E. Leach (4 shared papers)
- Journals
- Theoretical and Applied Genetics (2 papers)European Journal of Plant Pathology (2 papers)Plant Disease (1 paper)New Phytologist (1 paper)Plant and Cell Physiology (1 paper)
- Partner nations
- PhilippinesUnited StatesPeru
In The Last Decade
I. Oña
12 papers receiving 927 citations
Peers
Comparison fields: 5 of 42
- Plant Science 939
- Biotechnology 108
- Horticulture 8
- Cell Biology 109
- Endocrinology 26
Countries citing papers authored by I. Oña
This map shows the geographic impact of I. Oña'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 I. Oña with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Oña more than expected).
Fields of papers citing papers by I. Oña
This network shows the impact of papers produced by I. Oña. 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 I. Oña. The network helps show where I. Oña may publish in the future.
Co-authors
The 25 scholars most cited alongside I. Oña, 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 | 1999 | 282 | |
| 2 | 2000 | 224 | |
| 3 | 2001 | 184 | |
| 4 | 2009 | 116 | |
| 5 | 1998 | 75 | |
| 6 | 2007 | 44 | |
| 7 | 2001 | 33 | |
| 8 | 2017 | 18 | |
| 9 | 2013 | 13 | |
| 10 | 1998 | 11 | |
| 11 | 2011 | 7 | |
| 12 | Association of candidate defense genes with quantitative resistance to rice blast and in silico analysis of their characteristics. | 2005 | 1 |
About I. Oña
I. Oña is a scholar working on Plant Science, Molecular Biology, Cell Biology, Genetics and Biotechnology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (9 papers), Plant Disease Resistance and Genetics (5 papers), Plant Pathogenic Bacteria Studies (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Plant tissue culture and regeneration (2 papers) and Wheat and Barley Genetics and Pathology (1 paper). The work is most often cited by research in Plant Science (939 citations), Biotechnology (108 citations), Horticulture (8 citations), Cell Biology (109 citations) and Endocrinology (26 citations). I. Oña has collaborated with scholars based in Philippines, United States and Peru. Frequent co-authors include T. W. Mew, Swapan K. Datta, Norman Oliva, Karabi Datta, Subbaratnam Muthukrishnan, Rethinasamy Velazhahan, T. W. Mew, Jan E. Leach, Jianfa Bai and G. S. Khush. Their work appears in journals such as Theoretical and Applied Genetics, European Journal of Plant Pathology, Plant Disease, New Phytologist and Plant and Cell Physiology.
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.