Ai Xia
Impact in
- Insect Science top 5%
- Insect symbiosis and bacterial influences
- Plant Science top 5%
- Plant-Microbe Interactions and Immunity
- Chromosomal and Genetic Variations
- Plant Pathogens and Resistance
Papers in ⓘ
-
- Plant-Microbe Interactions and Immunity 9
- Chromosomal and Genetic Variations 8
- Co-authors
- Igor V. Sharakhov (16 shared papers)Maria V. Sharakhova (12 shared papers)Danyu Shen (16 shared papers)Daolong Dou (15 shared papers)Maofeng Jing (11 shared papers)Zhijian Tu (4 shared papers)Gan Ai (10 shared papers)Yumei Dong (10 shared papers)
- Journals
- Medical and Veterinary Entomology (2 papers)IEEE Antennas and Wireless Propagation Letters (2 papers)Malaria Journal (2 papers)Insect Molecular Biology (2 papers)Journal of Medical Entomology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ai Xia
60 papers receiving 955 citations
Peers
Comparison fields: 5 of 96
- Insect Science 160
- Plant Science 375
- Infectious Diseases 133
- Molecular Biology 355
- Obstetrics and Gynecology 39
Countries citing papers authored by Ai Xia
This map shows the geographic impact of Ai Xia'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 Ai Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Xia more than expected).
Fields of papers citing papers by Ai Xia
This network shows the impact of papers produced by Ai Xia. 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 Ai Xia. The network helps show where Ai Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 124 | |
| 2 | 2020 | 83 | |
| 3 | 2021 | 55 | |
| 4 | 2020 | 46 | |
| 5 | 2006 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2010 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2010 | 28 | |
| 10 | 2022 | 28 | |
| 11 | 2019 | 27 | |
| 12 | 2007 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2010 | 20 | |
| 15 | 2006 | 20 | |
| 16 | 2014 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2010 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2015 | 16 |
About Ai Xia
Ai Xia is a scholar working on Insect Science, Plant Science, Animal Science and Zoology, Small Animals and Infectious Diseases, having authored 61 papers that have together received 966 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (17 papers), Plant-Microbe Interactions and Immunity (9 papers), Mosquito-borne diseases and control (9 papers), Chromosomal and Genetic Variations (8 papers), Malaria Research and Control (7 papers), CRISPR and Genetic Engineering (6 papers), Animal Virus Infections Studies (5 papers) and Advanced Antenna and Metasurface Technologies (5 papers). The work is most often cited by research in Insect Science (160 citations), Plant Science (375 citations), Infectious Diseases (133 citations), Molecular Biology (355 citations) and Obstetrics and Gynecology (39 citations). Ai Xia has collaborated with scholars based in China, United States and France. Frequent co-authors include Igor V. Sharakhov, Maria V. Sharakhova, Danyu Shen, Daolong Dou, Maofeng Jing, Zhijian Tu, Gan Ai, Yumei Dong, Hailing Chang and Maryam Kamali. Their work appears in journals such as Medical and Veterinary Entomology, IEEE Antennas and Wireless Propagation Letters, Malaria Journal, Insect Molecular Biology and Journal of Medical Entomology.
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.