Jianhai Xiang

13.0k total citations
322 papers, 9.8k citations indexed

About

Jianhai Xiang is a scholar working on Immunology, Aquatic Science and Molecular Biology. According to data from OpenAlex, Jianhai Xiang has authored 322 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Immunology, 105 papers in Aquatic Science and 102 papers in Molecular Biology. Recurrent topics in Jianhai Xiang's work include Invertebrate Immune Response Mechanisms (159 papers), Aquaculture disease management and microbiota (96 papers) and Aquaculture Nutrition and Growth (94 papers). Jianhai Xiang is often cited by papers focused on Invertebrate Immune Response Mechanisms (159 papers), Aquaculture disease management and microbiota (96 papers) and Aquaculture Nutrition and Growth (94 papers). Jianhai Xiang collaborates with scholars based in China, United States and Israel. Jianhai Xiang's co-authors include Fuhua Li, Shihao Li, Xiaojun Zhang, Jiquan Zhang, Yang Yu, Bo Dong, Chengsong Zhang, Jianbo Yuan, Baozhong Liu and Bing Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Jianhai Xiang

313 papers receiving 9.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jianhai Xiang China 53 5.8k 3.1k 2.5k 1.9k 1.4k 322 9.8k
Fuhua Li China 49 5.0k 0.9× 2.5k 0.8× 1.9k 0.8× 1.4k 0.8× 980 0.7× 278 7.6k
Jianguo He China 55 8.1k 1.4× 2.3k 0.7× 2.4k 1.0× 1.5k 0.8× 640 0.4× 369 10.7k
Lingling Wang China 52 6.3k 1.1× 1.6k 0.5× 3.3k 1.3× 1.4k 0.7× 292 0.2× 442 11.1k
Shaoping Weng China 47 6.4k 1.1× 1.4k 0.4× 1.9k 0.8× 953 0.5× 560 0.4× 307 8.1k
Linsheng Song China 46 4.7k 0.8× 1.2k 0.4× 1.9k 0.8× 969 0.5× 202 0.1× 313 7.5k
José Meseguer Spain 69 9.8k 1.7× 5.8k 1.9× 1.4k 0.6× 1.5k 0.8× 633 0.4× 223 12.6k
Shicui Zhang China 41 2.6k 0.5× 984 0.3× 2.0k 0.8× 561 0.3× 740 0.5× 319 6.4k
Kenneth Söderhäll Sweden 81 17.2k 3.0× 3.9k 1.3× 3.9k 1.6× 2.9k 1.5× 911 0.6× 248 22.2k
Christopher J. Secombes United Kingdom 81 18.6k 3.2× 6.8k 2.2× 2.5k 1.0× 2.8k 1.5× 769 0.5× 414 21.7k
Shengkang Li China 41 2.4k 0.4× 2.1k 0.7× 1.0k 0.4× 1.1k 0.6× 274 0.2× 203 4.8k

Countries citing papers authored by Jianhai Xiang

Since Specialization
Citations

This map shows the geographic impact of Jianhai Xiang'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 Jianhai Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianhai Xiang more than expected).

Fields of papers citing papers by Jianhai Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jianhai Xiang. 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 Jianhai Xiang. The network helps show where Jianhai Xiang may publish in the future.

Co-authorship network of co-authors of Jianhai Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhai Xiang. A scholar is included among the top collaborators of Jianhai Xiang 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 Jianhai Xiang. Jianhai Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Xiang, Jianhai, Zhu Liang Yu, Fei Teng, et al.. (2025). Self-Supervised Prompt Optimization. 9017–9041.
2.
Ruan, Jinghua, et al.. (2024). Generation of a human induced pluripotent stem cell line from a female patient carrying LZTR1 gene mutation. Stem Cell Research. 81. 103616–103616.
3.
Yuan, Jianbo, Yang Yu, Shihao Li, et al.. (2024). Shrimp shapes a resistance trait against vibriosis by memorizing the colonization resistance of intestinal microbiota. PLoS Pathogens. 20(7). e1012321–e1012321.
4.
Duan, Hu, Wei Liu, Jianhai Xiang, et al.. (2023). Spatio-temporal patterns of ovarian development and VgR gene silencing reduced fecundity in parthenogenetic Artemia. Open Biology. 13(11). 230172–230172. 3 indexed citations
5.
Wang, Quanchao, Yang Yu, Qian Zhang, et al.. (2020). The Polymorphism of LvMMD2 and Its Association with Growth Traits in Litopenaeus vannamei. Marine Biotechnology. 22(4). 564–571. 17 indexed citations
6.
Zhang, Xiaoxi, Xiaoxi Zhang, Jianbo Yuan, et al.. (2020). Genomic Characterization and Expression of Juvenile Hormone Esterase-Like Carboxylesterase Genes in Pacific White Shrimp, Litopenaeus vannamei. International Journal of Molecular Sciences. 21(15). 5444–5444. 14 indexed citations
7.
Yuan, Jianbo, Xiaojun Zhang, Xiaojun Zhang, et al.. (2020). Adaptation and molecular evidence for convergence in decapod crustaceans from deep‐sea hydrothermal vent environments. Molecular Ecology. 29(20). 3954–3969. 16 indexed citations
8.
Zhang, Xiaoxi, Xiaoxi Zhang, Jianbo Yuan, et al.. (2019). Genome-Wide Identification and Expression Profiles of Myosin Genes in the Pacific White Shrimp, Litopenaeus vannamei. Frontiers in Physiology. 10. 610–610. 15 indexed citations
10.
Zhang, Xiaojun, Xiaojun Zhang, Jianbo Yuan, et al.. (2018). Wnt gene family members and their expression profiling in Litopenaeus vannamei. Fish & Shellfish Immunology. 77. 233–243. 41 indexed citations
11.
Zhang, Jiquan, Yujie Liu, Yanyan Li, et al.. (2018). Biological function of a gC1qR homolog (EcgC1qR) of Exopalaemon carinicauda in defending bacteria challenge. Fish & Shellfish Immunology. 82. 378–385. 14 indexed citations
12.
Wang, Quanchao, Yang Yu, Jianbo Yuan, et al.. (2017). Effects of marker density and population structure on the genomic prediction accuracy for growth trait in Pacific white shrimp Litopenaeus vannamei. BMC Genetics. 18(1). 45–45. 77 indexed citations
13.
Sun, Zheng, Shihao Li, Fuhua Li, & Jianhai Xiang. (2014). Bioinformatic Prediction of WSSV-Host Protein-Protein Interaction. BioMed Research International. 2014. 1–9. 22 indexed citations
14.
Li, Shihao, Fuhua Li, Yusu Xie, et al.. (2013). Screening of Genes Specifically Expressed in Males ofFenneropenaeus chinensisand Their Potential as Sex Markers. Journal of Marine Biology. 2013. 1–9. 1 indexed citations
15.
Liu, Xiaolin, et al.. (2010). AFLP analysis of genetic diversity of shrimp Litopenaeus vannamei.. Journal of Northwest A&F University. 38(11). 43–48. 1 indexed citations
16.
Chang, Yaqing, et al.. (2006). Hybridization effects of the different geographic populationof Chlamys farreri III.The yearlong(1~2 years old) growth and development of Chinese population and Russian population and their reciprocal crosses. Acta Oceanologica Sinica. 8 indexed citations
17.
Cui, Zhaoxia, et al.. (2004). Improvement of polyploidy induction in Eriocheir sinensis. Acta Oceanologica Sinica. 23(4). 725–732. 1 indexed citations
18.
Guo, Huarong, et al.. (2001). ANALYSIS OF THREE MARINE FISH CELL LINES BY RAPD ASSAY. In Vitro Cellular & Developmental Biology - Animal. 37(7). 430–430. 6 indexed citations
19.
Xu, Peng, Linghua Zhou, & Jianhai Xiang. (2001). Isolating microsatellite DNA of Chinese shrimp Penaeus chinensis. Haiyang yu huzhao. 32(3). 255–259. 4 indexed citations
20.
Zhou, Linghua, Xiaojun Zhang, & Jianhai Xiang. (1999). Study on number and karyotype of a marine shrimp Trachypenaeus curvirosteris. Haiyang yu huzhao. 30(3). 250–254. 1 indexed citations

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.

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