Xinglai Ji
- Molecular Biology top 10%
- Plant Science top 5%
- Computational Theory and Mathematics top 2%
- Insect Science top 5%
- Organic Chemistry top 10%
- Topics
- Nematode management and characterization studies (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Plant-Microbe Interactions and Immunity (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xinglai Ji
25 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 880
- Plant Science 415
- Computational Theory and Mathematics 300
- Insect Science 191
- Organic Chemistry 172
Countries citing papers authored by Xinglai Ji
This map shows the geographic impact of Xinglai Ji'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 Xinglai Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinglai Ji more than expected).
Fields of papers citing papers by Xinglai Ji
This network shows the impact of papers produced by Xinglai Ji. 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 Xinglai Ji. The network helps show where Xinglai Ji may publish in the future.
Co-authorship network of co-authors of Xinglai Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Xinglai Ji. A scholar is included among the top collaborators of Xinglai Ji 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 Xinglai Ji. Xinglai Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 34 | |
| 3 | 6 | |
| 4 | 24 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 44 | |
| 8 | 4 | |
| 9 | 34 | |
| 10 | 58 | |
| 11 | Protein subcellular localization prediction and genomic polymorphism analysis of the SARS coronavirus | 0 |
| 12 | 23 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 2 | |
| 20 | 28 |
About Xinglai Ji
Xinglai Ji is a scholar working on Aging, Insect Science and Endocrine and Autonomic Systems, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nematode management and characterization studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). The work is most often cited by research in Aging (76 citations), Computational Theory and Mathematics (300 citations) and Insect Science (191 citations). Xinglai Ji has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shu-Qun Liu, Yuan-Ling Xia, Yi Li, Peng Sang, Jing Liang, Xing Du, Ke‐Qin Zhang, Cheng‐Gang Zou, Jinkui Yang and Jianping Xu. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.
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.