Kailai Cai

565 total citations
15 papers, 288 citations indexed

About

Kailai Cai is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Kailai Cai has authored 15 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Agronomy and Crop Science. Recurrent topics in Kailai Cai's work include Metabolomics and Mass Spectrometry Studies (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Reproductive Physiology in Livestock (3 papers). Kailai Cai is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Reproductive Physiology in Livestock (3 papers). Kailai Cai collaborates with scholars based in China and Pakistan. Kailai Cai's co-authors include Liguo Yang, Rong Hou, Zhigang Cai, Guohua Hua, Li Han, Zhihe Zhang, Feifei Yang, Yuliang Liu, Zan Shen and Guo Hua and has published in prestigious journals such as PLoS ONE, Scientific Reports and Food Chemistry.

In The Last Decade

Kailai Cai

12 papers receiving 275 citations

Peers

Kailai Cai
Kailai Cai
Citations per year, relative to Kailai Cai Kailai Cai (= 1×) peers Chuanying Pan

Countries citing papers authored by Kailai Cai

Since Specialization
Citations

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

Fields of papers citing papers by Kailai Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailai Cai

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

All Works

15 of 15 papers shown
1.
Wang, Donghui, Kailai Cai, Xiangwei Kong, et al.. (2024). Biochemical Characteristics of Urine Metabolomics in Female Giant Pandas at Different Estrous Stages. Animals. 14(23). 3486–3486. 1 indexed citations
2.
Liu, Siying, Tao Wang, Yuliang Liu, et al.. (2024). Dataset of Panda sperm proteome. Data in Brief. 57. 111052–111052.
3.
Peng, Jing, Tao Wang, James Raul Garcia Ayala, et al.. (2024). Proteomic analysis of giant panda testicular tissue of different age groups. PeerJ. 12. e18249–e18249.
5.
Chen, Shiyi, Rong Hou, Yuliang Liu, et al.. (2023). Genetic parameter estimates for estrus duration and urinary hormone levels in captive female giant pandas. Mammalian Biology. 103(5). 543–548. 1 indexed citations
6.
Wang, Xueying, James Raul Garcia Ayala, Yuliang Liu, et al.. (2022). Combined urine metabolomics and 16S rDNA sequencing analyses reveals physiological mechanism underlying decline in natural mating behavior of captive giant pandas. Frontiers in Microbiology. 13. 906737–906737. 3 indexed citations
7.
Cao, Maosheng, Yuliang Liu, Kailai Cai, et al.. (2020). Assessing Urinary Metabolomics in Giant Pandas Using Chromatography/Mass Spectrometry: Pregnancy-Related Changes in the Metabolome. Frontiers in Endocrinology. 11. 215–215. 20 indexed citations
8.
Cai, Kailai, Shang-mian Yie, Zhihe Zhang, et al.. (2017). Urinary profiles of luteinizing hormone, estrogen and progestagen during the estrous and gestational periods in giant pandas (Ailuropda melanoleuca). Scientific Reports. 7(1). 40749–40749. 21 indexed citations
9.
Wang, Hairui, Rong Hou, James Raul Garcia Ayala, et al.. (2017). A Diet Diverse in Bamboo Parts is Important for Giant Panda (Ailuropoda melanoleuca) Metabolism and Health. Scientific Reports. 7(1). 3377–3377. 35 indexed citations
10.
Huang, He, Shang-mian Yie, Yuliang Liu, et al.. (2016). Dietary resources shape the adaptive changes of cyanide detoxification function in giant panda (Ailuropoda melanoleuca). Scientific Reports. 6(1). 34700–34700. 21 indexed citations
11.
Liu, Yuliang, Yang Liu, Shang-mian Yie, et al.. (2013). Characteristics of Mesenchymal Stem Cells Isolated from Bone Marrow of Giant Panda. Stem Cells and Development. 22(17). 2394–2401. 15 indexed citations
12.
Li, Han, et al.. (2012). The chemopreventive effect of β-cryptoxanthin from mandarin on human stomach cells (BGC-823). Food Chemistry. 136(3-4). 1122–1129. 31 indexed citations
14.
Cai, Kailai, et al.. (2011). Action Mechanism of Inhibin α-Subunit on the Development of Sertoli Cells and First Wave of Spermatogenesis in Mice. PLoS ONE. 6(10). e25585–e25585. 58 indexed citations
15.
Hua, Guo, Kailai Cai, Aixin Liang, et al.. (2008). Polymorphism of the growth hormone gene and its association with growth traits in Boer goat bucks. Meat Science. 81(2). 391–395. 81 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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