Jing Xing
- Immunology top 1%
- Molecular Biology
- Aquatic Science top 1%
- Endocrinology top 2%
- Economics and Econometrics top 5%
- Co-authors
- Wenbin ZhanXiuzhen ShengXiaoqian TangHeng ChiShun‐Feng ChengFuguo LiuHongsen XuStephen Bond
- Topics
- Aquaculture disease management and microbiota (111 papers)Invertebrate Immune Response Mechanisms (44 papers)Immune Response and Inflammation (29 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Xing
162 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 141
- Immunology 1.8k
- Molecular Biology 546
- Aquatic Science 311
- Endocrinology 230
- Economics and Econometrics 230
Countries citing papers authored by Jing Xing
This map shows the geographic impact of Jing Xing'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 Jing Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Xing more than expected).
Fields of papers citing papers by Jing Xing
This network shows the impact of papers produced by Jing Xing. 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 Jing Xing. The network helps show where Jing Xing may publish in the future.
Co-authorship network of co-authors of Jing Xing
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xing. A scholar is included among the top collaborators of Jing Xing 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 Jing Xing. Jing Xing 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 | 1 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 31 | |
| 17 | 28 | |
| 18 | Dynamic changes of mucous cells in Paralichthys olivaceus induced by immersion immunization with inactivated Edwardsiella tarda. | 1 |
| 19 | Development and Characterization of Monoclonal Antibodies to Serum IgM of Turbot(Scophthalmus maximus) | 1 |
| 20 | Variations of seven immune related genes expression in flounder (Paralichthys olivaceus) injected and immersed with inactivated Vibrio anguillarum | 1 |
About Jing Xing
Jing Xing is a scholar working on Immunology, Endocrinology and Animal Science and Zoology, having authored 168 papers that have together received 2.7k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (111 papers), Invertebrate Immune Response Mechanisms (44 papers) and Immune Response and Inflammation (29 papers). The work is most often cited by research in Immunology (1.8k citations), Endocrinology (230 citations) and Aquatic Science (311 citations). Jing Xing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenbin Zhan, Xiuzhen Sheng, Xiaoqian Tang, Xiaoqian Tang, Heng Chi, Shun‐Feng Cheng, Fuguo Liu, Hongsen Xu, Stephen Bond and Mickael Perrigault. Their work appears in journals such as PLoS ONE, Journal of Virology 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.