Apinya Longya
Impact in
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Plant Pathogenic Bacteria Studies
- Plant Parasitism and Resistance
- Mycotoxins in Agriculture and Food
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- Plant Pathogens and Fungal Diseases
Papers in
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- Plant-Microbe Interactions and Immunity 10
- Plant Disease Resistance and Genetics 3
- Plant Parasitism and Resistance 2
- Mycotoxins in Agriculture and Food 1
- Mycorrhizal Fungi and Plant Interactions 1
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- Fungal and yeast genetics research 8
- Co-authors
- Chatchawan Jantasuriyarat (11 shared papers)Marina Franceschetti (3 shared papers)Josephine H. R. Maidment (3 shared papers)Mark J. Banfield (3 shared papers)Juan Carlos De la Concepción (2 shared papers)Gui Xiao (1 shared paper)Motoki Shimizu (1 shared paper)Ryohei Terauchi (1 shared paper)
- Journals
- Plant Pathology (4 papers)Rice (1 paper)Journal of Fungi (1 paper)PLoS Pathogens (1 paper)Molecular Plant-Microbe Interactions (1 paper)
- Partner nations
- ThailandPhilippinesUnited Kingdom
In The Last Decade
Apinya Longya
12 papers receiving 228 citations
Peers
Comparison fields: 5 of 21
- Plant Science 203
- Cell Biology 82
- Horticulture 2
- Biotechnology 14
- Molecular Biology 96
Countries citing papers authored by Apinya Longya
This map shows the geographic impact of Apinya Longya'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 Apinya Longya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apinya Longya more than expected).
Fields of papers citing papers by Apinya Longya
This network shows the impact of papers produced by Apinya Longya. 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 Apinya Longya. The network helps show where Apinya Longya may publish in the future.
Co-authors
The 25 scholars most cited alongside Apinya Longya, 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 | 2023 | 43 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 38 | |
| 4 | 2019 | 31 | |
| 5 | 2017 | 31 | |
| 6 | 2017 | 13 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2025 | 0 |
About Apinya Longya
Apinya Longya is a scholar working on Plant Science, Molecular Biology, Cell Biology, Immunology and Infectious Diseases, having authored 13 papers that have together received 230 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (10 papers), Plant Pathogens and Fungal Diseases (8 papers), Fungal and yeast genetics research (8 papers), Plant Disease Resistance and Genetics (3 papers), Plant Parasitism and Resistance (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Mycotoxins in Agriculture and Food (1 paper) and Mycorrhizal Fungi and Plant Interactions (1 paper). The work is most often cited by research in Plant Science (203 citations), Cell Biology (82 citations), Horticulture (2 citations), Biotechnology (14 citations) and Molecular Biology (96 citations). Apinya Longya has collaborated with scholars based in Thailand, Philippines and United Kingdom. Frequent co-authors include Chatchawan Jantasuriyarat, Marina Franceschetti, Josephine H. R. Maidment, Mark J. Banfield, Juan Carlos De la Concepción, Gui Xiao, Motoki Shimizu, Ryohei Terauchi, Clare E. M. Stevenson and Aleksandra Białas. Their work appears in journals such as Plant Pathology, Rice, Journal of Fungi, PLoS Pathogens and Molecular Plant-Microbe Interactions.
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.