Ainong Shi
- Plant Science top 0.5%
- Molecular Biology
- Genetics top 10%
- Cell Biology top 10%
- Food Science top 10%
- Co-authors
- Beiquan MouPengyin ChenAnfu HouJun QinWaltram RavelombolaYuejin WengGehendra BhattaraiPo-Yuan Chen
- Topics
- Soybean genetics and cultivation (62 papers)Legume Nitrogen Fixing Symbiosis (50 papers)Agricultural pest management studies (31 papers)
- Cited by
- Plant ScienceHorticultureGenetics
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- 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
- Molecular Biology 320
- Genetics 315
- Cell Biology 146
- Food Science 115
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 of co-authors of Ainong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Ainong Shi. A scholar is included among the top collaborators of Ainong Shi 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 Ainong Shi. Ainong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 6 | |
| 14 | 34 | |
| 15 | 3 | |
| 16 | 25 | |
| 17 | 18 | |
| 18 | Development of single nucleotide polymorphism (SNP) markers for selection of Ve gene of tomato Verticilliumwilt resistance | 1 |
| 19 | Characterization of RAPD Markers, and the RFLP Marker Linked to Powdery Mildew Resistance Gene Derived from Different Accessions of H. villosa | 2 |
| 20 | Evaluation of resistance to bacterial blight (Xanthomonas oryzae pv. oryzae) in wild rice species. | 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) and Agricultural pest management studies (31 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.