Zhanjun Wang

515 total citations
39 papers, 317 citations indexed

About

Zhanjun Wang is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Zhanjun Wang has authored 39 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Neurology and 9 papers in Neurology. Recurrent topics in Zhanjun Wang's work include Genomics and Phylogenetic Studies (9 papers), Neurological diseases and metabolism (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Zhanjun Wang is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Neurological diseases and metabolism (8 papers) and Neurogenetic and Muscular Disorders Research (8 papers). Zhanjun Wang collaborates with scholars based in China and United Kingdom. Zhanjun Wang's co-authors include Chenchen Wang, Zhongdong Xu, Bao Li, Qingqing Zhou, Xingzhou Jiang, Chunyan Jiao, Chaodong Wang, Jisen Shi, Minhui Li and Xuying Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zhanjun Wang

36 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhanjun Wang China 8 215 79 52 38 35 39 317
Moran Guo China 10 125 0.6× 107 1.4× 62 1.2× 8 0.2× 24 0.7× 20 301
Judith Benes United States 11 473 2.2× 36 0.5× 30 0.6× 7 0.2× 42 1.2× 17 693
Lusheng Li China 11 72 0.3× 34 0.4× 17 0.3× 14 0.4× 25 0.7× 40 346
Thomas Payne Australia 11 425 2.0× 423 5.4× 66 1.3× 41 1.1× 49 1.4× 30 740
Daijun Ling United States 7 216 1.0× 22 0.3× 52 1.0× 12 0.3× 38 1.1× 9 469
Raymond Anderson Canada 6 128 0.6× 292 3.7× 51 1.0× 15 0.4× 23 0.7× 6 454
Ming Yan China 12 319 1.5× 137 1.7× 12 0.2× 15 0.4× 69 2.0× 33 413
Kyoung Shin Yoo South Korea 11 417 1.9× 400 5.1× 58 1.1× 14 0.4× 24 0.7× 14 649
Aaron Wise United States 9 438 2.0× 473 6.0× 11 0.2× 19 0.5× 51 1.5× 17 821
Carlo Fasano Italy 11 289 1.3× 213 2.7× 13 0.3× 9 0.2× 42 1.2× 15 462

Countries citing papers authored by Zhanjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhanjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanjun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanjun Wang. A scholar is included among the top collaborators of Zhanjun 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 Zhanjun Wang. Zhanjun 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.
Zhong, Jie, Chaodong Wang, Dan Zhang, et al.. (2024). PCDHA9 as a candidate gene for amyotrophic lateral sclerosis. Nature Communications. 15(1). 2189–2189. 3 indexed citations
2.
Wang, Zhanjun, Jie Li, Xuyuan Liu, et al.. (2024). Transcriptomic analysis of codon usage patterns and gene expression characteristics in leafy spurge. BMC Plant Biology. 24(1). 1118–1118. 2 indexed citations
3.
Li, Xuying, et al.. (2023). Multidisciplinary molecular consultation increases the diagnosis of pediatric epileptic encephalopathy and neurodevelopmental disorders. Molecular Genetics & Genomic Medicine. 11(11). e2243–e2243. 1 indexed citations
4.
Li, Xuying, Junge Zhu, Xian Li, et al.. (2023). Applications of Machine Learning to Diagnosis of Parkinson’s Disease. Brain Sciences. 13(11). 1546–1546. 6 indexed citations
5.
6.
Wang, Zhanjun, et al.. (2023). The complete chloroplast genome sequence of Vincetoxicum mongolicum (Apocynaceae), a perennial medicinal herb. Genetics and Molecular Biology. 46(2). e20220303–e20220303. 3 indexed citations
7.
Wang, Zhanjun, et al.. (2022). Characterization of the complete chloroplast genome sequence of Stipa bungeana (Poaceae), an important forage grass in the temperate steppe of Northern China. SHILAP Revista de lepidopterología. 7(11). 1948–1951. 1 indexed citations
8.
Jiao, Chunyan, Honghong Fan, Cheng Song, et al.. (2022). Transcriptomic analysis of genes related to alkaloid biosynthesis and the regulation mechanism under precursor and methyl jasmonate treatment in Dendrobium officinale. Frontiers in Plant Science. 13. 941231–941231. 20 indexed citations
9.
Wang, Zhanjun, Yue Wang, Minhui Li, et al.. (2022). Comparative Analysis of Codon Bias in the Chloroplast Genomes of Theaceae Species. Frontiers in Genetics. 13. 824610–824610. 44 indexed citations
10.
Huang, Sen, Xuying Li, Zhanjun Wang, et al.. (2022). Identification of TARDBP Gly298Ser as a founder mutation for amyotrophic lateral sclerosis in Southern China. BMC Medical Genomics. 15(1). 173–173. 6 indexed citations
11.
Li, Wei, Jichang Luo, Ruiting Liu, et al.. (2022). Spatial metabolomics identifies lipid profiles of human carotid atherosclerosis. Atherosclerosis. 364. 20–28. 21 indexed citations
12.
Wang, Zhanjun, Song Yang, Xuying Li, et al.. (2021). Autosomal recessive spastic ataxia of Charlevoix-Saguenay caused by novel mutations in SACS gene: A report of two Chinese families. Neuroscience Letters. 752. 135831–135831. 4 indexed citations
13.
Lin, Feng, Junge Zhu, Xuying Li, et al.. (2021). Sequencing of neurofilament genes identified NEFH Ser787Arg as a novel risk variant of sporadic amyotrophic lateral sclerosis in Chinese subjects. BMC Medical Genomics. 14(1). 222–222. 6 indexed citations
14.
Wang, Zhanjun, Song Yang, Wenjia Zhu, et al.. (2021). A novel FBXO7-R345P mutation in a Chinese family with autosomal recessive parkinsonian-pyramidal syndrome. Parkinsonism & Related Disorders. 88. 62–67. 3 indexed citations
15.
Dong, Yue, Xuying Li, Zhanjun Wang, et al.. (2021). Genetic, clinical and neuroimaging profiles of sporadic and autosomal recessive hereditary spastic paraplegia cases in Chinese. Neuroscience Letters. 761. 136108–136108. 6 indexed citations
16.
Mao, Li, Zhanjun Wang, Fang Cui, et al.. (2020). Multisystemic Impairments in 93 Chinese Patients With Myotonic Dystrophy Type 1. Frontiers in Neurology. 11. 277–277. 1 indexed citations
17.
Mao, Li, Zhanjun Wang, Fang Cui, et al.. (2014). Investigation of molecular diagnosis in Chinese patients with myotonic dystrophy type 1. Chinese Medical Journal. 127(6). 1084–1088. 1 indexed citations
18.
19.
Wang, Zhanjun, Wanshi Cai, Fang Cui, et al.. (2013). Identification of a novel missense (C7W) mutation of SOD1 in a large familial amyotrophic lateral sclerosis pedigree. Neurobiology of Aging. 35(3). 725.e11–725.e15. 6 indexed citations
20.
Shi, Jisen, Zhanjun Wang, & Jinhui Chen. (2012). Progress on whole genome sequencing in woody plants. Hereditas (Beijing). 34(2). 145–156. 3 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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