Kailiang Wang

1.1k total citations
63 papers, 789 citations indexed

About

Kailiang Wang is a scholar working on Molecular Biology, Neurology and Nutrition and Dietetics. According to data from OpenAlex, Kailiang Wang has authored 63 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Neurology and 12 papers in Nutrition and Dietetics. Recurrent topics in Kailiang Wang's work include Neurological disorders and treatments (12 papers), Nuts composition and effects (12 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). Kailiang Wang is often cited by papers focused on Neurological disorders and treatments (12 papers), Nuts composition and effects (12 papers) and Parkinson's Disease Mechanisms and Treatments (10 papers). Kailiang Wang collaborates with scholars based in China, United States and India. Kailiang Wang's co-authors include Fangang Meng, Jianguo Zhang, Chunlei Han, Yunpeng Liu, Ming Ge, Xuemin Zhao, Wei Hu, Ning Chen, Jun Chang and Huadong Ren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

Kailiang Wang

52 papers receiving 779 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kailiang Wang China 16 334 238 133 105 85 63 789
Zhengbo Wang China 18 402 1.2× 146 0.6× 150 1.1× 127 1.2× 135 1.6× 72 954
Defeng Liu China 15 221 0.7× 102 0.4× 266 2.0× 186 1.8× 80 0.9× 70 760
Yiwen Wu China 19 336 1.0× 127 0.5× 377 2.8× 205 2.0× 93 1.1× 105 1.2k
Kejian Wang China 23 525 1.6× 212 0.9× 72 0.5× 88 0.8× 167 2.0× 58 1.3k
Xinan Liu China 19 539 1.6× 149 0.6× 68 0.5× 230 2.2× 73 0.9× 48 1.0k
Yun Yu China 12 249 0.7× 83 0.3× 140 1.1× 71 0.7× 118 1.4× 22 646
Hai Tang China 16 291 0.9× 76 0.3× 64 0.5× 175 1.7× 61 0.7× 41 790
Long Wang China 20 393 1.2× 169 0.7× 98 0.7× 102 1.0× 88 1.0× 74 1.0k
Tianbai Li China 19 352 1.1× 115 0.5× 259 1.9× 172 1.6× 188 2.2× 44 1.0k
Lixia Qin China 21 816 2.4× 242 1.0× 203 1.5× 155 1.5× 167 2.0× 66 1.5k

Countries citing papers authored by Kailiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kailiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kailiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kailiang Wang. A scholar is included among the top collaborators of Kailiang Wang 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 Kailiang Wang. Kailiang Wang 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.
Long, Wei, et al.. (2025). Fruit detection and yield estimation in Camellia oleifera based on improved YOLOv8 and ByteTrack algorithm. Smart Agricultural Technology. 12. 101435–101435.
2.
Zhang, Chengcai, Ping Lin, Xiaohua Yao, Huadong Ren, & Kailiang Wang. (2025). Genome-wide development of genomic SSR markers, polymorphism analysis, and dosage-aware SSR fingerprinting in hexaploid Camellia Oleifera. BMC Plant Biology. 25(1). 1627–1627.
3.
Huang, Mei, Xiaohua Yao, Qing Dai, et al.. (2025). Effect of different drying methods at temperatures on nutrition quality of pecan. Journal of Food Composition and Analysis. 146. 107894–107894.
4.
Li, Qinghua, Xiaotong Fan, Kailiang Wang, et al.. (2025). Subdural empyema caused by Aggregatibacter segnis: a rare case report and literature review. BMC Infectious Diseases. 25(1). 1042–1042.
5.
Wu, Xiaolong, Kailiang Wang, Qinghua Li, et al.. (2025). Combining Single-Cell RNA Sequencing and Mendelian Randomization to Explore Novel Drug Targets for Parkinson’s Disease. Molecular Neurobiology. 62(6). 7380–7392.
6.
Ma, Jinghong, Wei Mao, Erhe Xu, et al.. (2024). Vibrotactile Foot Device for Freezing of Gait in Parkinson's Disease: A Pilot Study. Movement Disorders Clinical Practice. 11(10). 1241–1248. 2 indexed citations
7.
Zhang, Chengcai, et al.. (2023). Variation in pigments in pecan testa during kernel development and storage. Food Chemistry. 438. 137989–137989. 9 indexed citations
8.
Wang, Kailiang, Zhen Zhang, Peng Yu, et al.. (2023). Identification of a new QTL underlying seminal root number in a maize-teosinte population. Frontiers in Plant Science. 14. 1132017–1132017. 4 indexed citations
9.
Li, Junhui, et al.. (2023). Research on Multi-Objective Optimization Model of Industrial Microgrid Considering Demand Response Technology and User Satisfaction. Energy Engineering. 120(4). 869–884. 5 indexed citations
10.
Wang, Kailiang, et al.. (2022). A Novel Method to Identify Radial Drainage Based on Morphological Features. Water. 14(18). 2820–2820.
11.
Chen, Xiaojing, Kailiang Wang, Xuyang Liu, et al.. (2022). Genetic Variation in ZmPAT7 Contributes to Tassel Branch Number in Maize. International Journal of Molecular Sciences. 23(5). 2586–2586. 7 indexed citations
12.
Zhang, Xiaodan, Jun Chang, Xiaohua Yao, et al.. (2022). Chemical Composition in Kernels of Ten Grafted Pecan (Carya illinoensis) Varieties in Southeastern China. SHILAP Revista de lepidopterología. 4(2). 25–25. 4 indexed citations
13.
Wei, Penghu, Changming Wang, Xiaotong Fan, et al.. (2022). The role of the orbitofrontal cortex and insula for prognosis of mesial temporal lobe epilepsy. Epilepsy & Behavior. 138. 109003–109003. 4 indexed citations
14.
15.
Wang, Kailiang, et al.. (2020). Stimulation-Induced Dyskinesia After Subthalamic Nucleus Deep Brain Stimulation in Patients With Meige Syndrome. Neuromodulation Technology at the Neural Interface. 24(2). 286–292. 11 indexed citations
16.
Guo, Yuzhu, Yang Li, Jingjing Luo, et al.. (2019). Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems. Neurocomputing. 357. 188–202. 11 indexed citations
17.
Han, Chunlei, Ming Ge, Yunpeng Liu, et al.. (2018). LncRNA H19 contributes to hippocampal glial cell activation via JAK/STAT signaling in a rat model of temporal lobe epilepsy. Journal of Neuroinflammation. 15(1). 103–103. 103 indexed citations
18.
Wang, Kailiang, Wei Hu, Xiaobin Zhao, et al.. (2018). Metabolic covariance networks combining graph theory measuring aberrant topological patterns in mesial temporal lobe epilepsy. CNS Neuroscience & Therapeutics. 25(3). 396–408. 21 indexed citations
19.
Yao, Xiaohua, et al.. (2010). Identification and genetic analysis of Camellia oleifera Changlin series superior clones by SRAP molecular marker.. Journal of Pharmaceutical and Biomedical Sciences. 18(2). 272–279. 3 indexed citations
20.
Wang, Kailiang. (2008). A Comparative Study on Nut Characteristics of Pecan. Forest Research Open Access. 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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