Ainong Shi
- Plant Science top 0.5%
- Soybean genetics and cultivation 62
- Legume Nitrogen Fixing Symbiosis 50
- Agricultural pest management studies 31
- Plant pathogens and resistance mechanisms 29
- Plant Pathogens and Resistance 28
- Plant Virus Research Studies 22
- Genetic and Environmental Crop Studies 19
- Horticulture top 10%
- Genetics top 10%
- Agronomy and Crop Science top 5%
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases 17
- Co-authors
- Beiquan MouPengyin ChenAnfu HouJun QinWaltram RavelombolaYuejin WengGehendra BhattaraiPo-Yuan Chen
- Cited by
- Plant ScienceHorticultureGenetics
- Journals
- SHILAP Revista de lepidopterología (3 papers)PLoS ONE (7 papers)Scientific Reports (7 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Ainong Shi
146 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 93
- Plant Science 2.4k
- Horticulture 20
- Genetics 315
- Agronomy and Crop Science 112
- Cell Biology 146
Countries citing papers authored by Ainong Shi
This map shows the geographic impact of Ainong Shi'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 Ainong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ainong Shi more than expected).
Fields of papers citing papers by Ainong Shi
This network shows the impact of papers produced by Ainong Shi. 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 Ainong Shi. The network helps show where Ainong Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ainong Shi, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 34 | |
| 15 | 2021 | 3 | |
| 16 | 2017 | 25 | |
| 17 | 2011 | 18 | |
| 18 | Development of single nucleotide polymorphism (SNP) markers for selection of Ve gene of tomato Verticilliumwilt resistance | 2010 | 1 |
| 19 | Characterization of RAPD Markers, and the RFLP Marker Linked to Powdery Mildew Resistance Gene Derived from Different Accessions of H. villosa | 2005 | 2 |
| 20 | Evaluation of resistance to bacterial blight (Xanthomonas oryzae pv. oryzae) in wild rice species. | 1994 | 16 |
About Ainong Shi
Ainong Shi is a scholar working on Plant Science, Cell Biology and Agronomy and Crop Science, having authored 157 papers that have together received 2.6k indexed citations. Recurring topics across this work include Soybean genetics and cultivation (62 papers), Legume Nitrogen Fixing Symbiosis (50 papers), Agricultural pest management studies (31 papers), Plant pathogens and resistance mechanisms (29 papers), Plant Pathogens and Resistance (28 papers), Plant Virus Research Studies (22 papers), Genetic and Environmental Crop Studies (19 papers) and Plant Pathogens and Fungal Diseases (17 papers). The work is most often cited by research in Plant Science (2.4k citations), Horticulture (20 citations) and Genetics (315 citations). Ainong Shi has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Beiquan Mou, Pengyin Chen, Anfu Hou, Jun Qin, Waltram Ravelombola, Yuejin Weng, Gehendra Bhattarai, Po-Yuan Chen, Haizheng Xiong and Dennis Motes. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.