Kai Xing

2.9k total citations · 1 hit paper
93 papers, 2.1k citations indexed

About

Kai Xing is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Kai Xing has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Genetics and 24 papers in Cancer Research. Recurrent topics in Kai Xing's work include Cancer-related molecular mechanisms research (20 papers), Genetic and phenotypic traits in livestock (18 papers) and Sperm and Testicular Function (11 papers). Kai Xing is often cited by papers focused on Cancer-related molecular mechanisms research (20 papers), Genetic and phenotypic traits in livestock (18 papers) and Sperm and Testicular Function (11 papers). Kai Xing collaborates with scholars based in China, United States and Indonesia. Kai Xing's co-authors include Dechang Chen, Min Ding, Xiaochun Cheng, Shaohua Tang, Yunhao Liu, Wei Sun, Xufei Mao, Xinglin Zhang, Zheng Yang and Xihui Sheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kai Xing

90 papers receiving 2.1k citations

Hit Papers

Incentives for Mobile Crowd Sensing: A Survey 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Xing China 23 443 417 321 316 289 93 2.1k
Tingting Liang China 22 406 0.9× 174 0.4× 15 0.0× 207 0.7× 88 0.3× 117 1.4k
Qiuxia Chen China 29 666 1.5× 93 0.2× 19 0.1× 121 0.4× 75 0.3× 124 2.0k
Enrique Hernández‐Orallo Spain 23 123 0.3× 538 1.3× 29 0.1× 71 0.2× 16 0.1× 107 1.9k
Longfei Wu China 22 111 0.3× 1.5k 3.5× 92 0.3× 1.1k 3.6× 46 0.2× 71 3.1k
Luciano Sánchez Spain 30 197 0.4× 178 0.4× 84 0.3× 4.0k 12.8× 84 0.3× 160 5.8k
Jaume Bacardit United Kingdom 26 720 1.6× 77 0.2× 28 0.1× 1.9k 5.9× 81 0.3× 106 3.5k
Huzefa Rangwala United States 29 1.1k 2.6× 228 0.5× 603 1.9× 1.1k 3.4× 40 0.1× 137 3.6k
Yiran Zhao China 19 170 0.4× 331 0.8× 72 0.2× 444 1.4× 27 0.1× 88 1.7k
Hieu Le United States 18 60 0.1× 125 0.3× 349 1.1× 262 0.8× 21 0.1× 36 1.1k
Sher Afzal Khan Pakistan 34 2.2k 4.9× 155 0.4× 79 0.2× 237 0.8× 96 0.3× 110 3.3k

Countries citing papers authored by Kai Xing

Since Specialization
Citations

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

Fields of papers citing papers by Kai Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Xing. A scholar is included among the top collaborators of Kai 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 Kai Xing. Kai Xing 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.
Chen, Shaokang, Xihui Sheng, Xiaolong Qi, et al.. (2025). Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models. Frontiers in Genetics. 15. 1503148–1503148.
3.
Xu, Songsong, et al.. (2024). Global meta‐analysis reveals the drivers of gut microbiome variation across vertebrates. SHILAP Revista de lepidopterología. 1(2). e35–e35. 3 indexed citations
4.
Xing, Kai, Lizi Luo, Shuai Lu, et al.. (2024). Collaborative deployment of multiple reinforcement methods for network‐loss reduction in distribution system with seasonal loads. SHILAP Revista de lepidopterología. 5(5). 301–315. 1 indexed citations
5.
Zhou, Lei, Zhen Liu, Qianqian Huang, et al.. (2024). The 1000 Chinese Indigenous Pig Genomes Project provides insights into the genomic architecture of pigs. Nature Communications. 15(1). 10137–10137. 6 indexed citations
6.
Xie, Yi, Kai Xing, Hongquan Guo, et al.. (2023). Circulating lipocalin‐2 as a novel biomarker for early neurological deterioration and unfavorable prognosis after acute ischemic stroke. Brain and Behavior. 13(5). e2979–e2979. 7 indexed citations
7.
Xiao, Longfei, Qian Wang, Xihui Sheng, et al.. (2023). Curcumin Ameliorates Age-Induced Tight Junction Impaired in Porcine Sertoli Cells by Inactivating the NLRP3 Inflammasome through the AMPK/SIRT3/SOD2/mtROS Signaling Pathway. Oxidative Medicine and Cellular Longevity. 2023. 1–17. 12 indexed citations
9.
Gao, Xiaobo, Yong Guo, Xihui Sheng, et al.. (2023). α-Linolenic acid-regulated testosterone biosynthesis via activation of the JNK-SF-1 signaling pathway in primary rooster Leydig cells. Theriogenology. 209. 170–177. 5 indexed citations
10.
Liu, Dapeng, He Zhang, Bailin Cong, et al.. (2023). Identification of Key Genes Affecting Flavor Formation in Beijing-You Chicken Meat by Transcriptome and Metabolome Analyses. Foods. 12(5). 1025–1025. 20 indexed citations
11.
Li, Qiaowei, Liyuan Wang, Kai Xing, et al.. (2022). Identification of circRNAs Associated with Adipogenesis Based on RNA-Seq Data in Pigs. Genes. 13(11). 2062–2062. 2 indexed citations
12.
Wang, Qian, Nan Cui, Longfei Xiao, et al.. (2022). Heat stress and hypoxia inhibit the secretion of androgens and induce epithelial‐to‐mesenchymal transition associated with activated TGF‐β/Smad signalling in canine cryptorchidism. Reproduction in Domestic Animals. 57(9). 1046–1055. 3 indexed citations
13.
Li, Zheng, Yu Chen, Liang Wang, et al.. (2022). HPLC-QTRAP-MS-based metabolomics approach investigates the formation mechanisms of meat quality and flavor of Beijing You chicken. Food Chemistry X. 17. 100550–100550. 36 indexed citations
14.
Li, Xue, Shuo Zhao, Jinɡjinɡ Li, et al.. (2021). circHIPK3 regulates proliferation and differentiation of myoblast through the miR‐7/TCF12 pathway. Journal of Cellular Physiology. 236(10). 6793–6805. 19 indexed citations
16.
Xing, Kai, Yu Chen, Liang Wang, et al.. (2021). Epididymal mRNA and miRNA transcriptome analyses reveal important genes and miRNAs related to sperm motility in roosters. Poultry Science. 101(1). 101558–101558. 14 indexed citations
17.
Wang, Xiangguo, Qianru Li, Xihui Sheng, et al.. (2020). Exosomes from bovine endometrial epithelial cells ensure trophoblast cell development by miR‐218 targeting secreted frizzled related protein 2. Journal of Cellular Physiology. 236(6). 4565–4579. 20 indexed citations
18.
Xing, Kai, Xue Li, Yu Ge, et al.. (2020). An integrated analysis of testis miRNA and mRNA transcriptome reveals important functional miRNA-targets in reproduction traits of roosters. Reproductive Biology. 20(3). 433–440. 9 indexed citations
19.
Zhang, Fengxia, Ting Yang, Hong Ao, et al.. (2019). Novel nucleotide variants in SLA-DOB and CD4 are associated with immune traits in pregnant sows. Gene. 707. 22–29. 2 indexed citations
20.
Xing, Kai, Xiaoxu Zhang, Hui Wang, et al.. (2017). Effect of pre-fermentation saignée treatment on phenolic compound profile in wine made of Cabernet Sauvignon. Journal of Food Biochemistry. 41(4). e12380–e12380. 8 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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