Lan-Juan Zhao

1.7k total citations · 1 hit paper
27 papers, 1.3k citations indexed

About

Lan-Juan Zhao is a scholar working on Genetics, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Lan-Juan Zhao has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 13 papers in Molecular Biology and 10 papers in Orthopedics and Sports Medicine. Recurrent topics in Lan-Juan Zhao's work include Genetic Associations and Epidemiology (11 papers), Bone health and osteoporosis research (10 papers) and Bone Metabolism and Diseases (8 papers). Lan-Juan Zhao is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Bone health and osteoporosis research (10 papers) and Bone Metabolism and Diseases (8 papers). Lan-Juan Zhao collaborates with scholars based in United States, China and Taiwan. Lan-Juan Zhao's co-authors include Robert R. Recker, Hong‐Wen Deng, Yong‐Jun Liu, Peng-Yuan Liu, James A. Hamilton, Hui Shen, Dong-Hai Xiong, Peng Xiao, Joan M. Lappe and Jirong Long and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Journal of Bone and Mineral Research.

In The Last Decade

Lan-Juan Zhao

27 papers receiving 1.2k citations

Hit Papers

Relationship of Obesity with Osteoporosis 2007 2026 2013 2019 2007 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
Lan-Juan Zhao United States 19 549 404 347 326 303 27 1.3k
Robert R. Recker United States 8 877 1.6× 392 1.0× 203 0.6× 367 1.1× 279 0.9× 9 1.3k
Rivka Dresner–Pollak Israel 21 393 0.7× 503 1.2× 172 0.5× 222 0.7× 216 0.7× 42 1.4k
Peng-Yuan Liu United States 12 432 0.8× 240 0.6× 292 0.8× 172 0.5× 104 0.3× 19 841
G. Howard Australia 12 415 0.8× 236 0.6× 191 0.6× 237 0.7× 164 0.5× 16 775
N. Kathryn Henderson Australia 9 609 1.1× 204 0.5× 211 0.6× 147 0.5× 284 0.9× 11 922
Ute Zeitz Austria 17 239 0.4× 600 1.5× 236 0.7× 587 1.8× 862 2.8× 25 2.1k
G. Luisetto Italy 23 740 1.3× 411 1.0× 133 0.4× 241 0.7× 281 0.9× 74 1.6k
Luca D’Onofrio Italy 19 303 0.6× 291 0.7× 282 0.8× 130 0.4× 111 0.4× 52 1.1k
Takumi Kurabayashi Japan 22 260 0.5× 214 0.5× 150 0.4× 179 0.5× 127 0.4× 85 1.3k
S. Adami Italy 13 446 0.8× 205 0.5× 156 0.4× 149 0.5× 138 0.5× 25 934

Countries citing papers authored by Lan-Juan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lan-Juan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan-Juan Zhao. 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 Lan-Juan Zhao. The network helps show where Lan-Juan Zhao may publish in the future.

Co-authorship network of co-authors of Lan-Juan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lan-Juan Zhao. A scholar is included among the top collaborators of Lan-Juan Zhao 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 Lan-Juan Zhao. Lan-Juan Zhao 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.
Zhang, Mingzhi, Lan-Juan Zhao, Yu Zhou, et al.. (2017). SNP rs11185644 of RXRA gene is identified for dose-response variability to vitamin D3 supplementation: a randomized clinical trial. Scientific Reports. 7(1). 40593–40593. 24 indexed citations
2.
Zhou, Yu, Lan-Juan Zhao, Xiaojing Xu, et al.. (2013). DNA methylation levels of CYP2R1 and CYP24A1 predict vitamin D response variation. The Journal of Steroid Biochemistry and Molecular Biology. 144. 207–214. 60 indexed citations
4.
Bu, Fengxiao, Laura Armas, Joan M. Lappe, et al.. (2010). Comprehensive association analysis of nine candidate genes with serum 25-hydroxy vitamin D levels among healthy Caucasian subjects. Human Genetics. 128(5). 549–556. 121 indexed citations
5.
Zhao, Jian, Peng Xiao, Yan Guo, et al.. (2008). Bivariate genome linkage analysis suggests pleiotropic effects on chromosomes 20p and 3p for body fat mass and lean mass. Genetics Research. 90(3). 259–268. 5 indexed citations
6.
Liu, Xiaogang, Lan-Juan Zhao, Yong‐Jun Liu, et al.. (2008). The MTHFR gene polymorphism is associated with lean body mass but not fat body mass. Human Genetics. 123(2). 189–196. 22 indexed citations
7.
Zhao, Lan-Juan, Dong-Hai Xiong, Feng Pan, et al.. (2008). Polymorphisms of the tumor necrosis factor-alpha receptor 2 gene are associated with obesity phenotypes among 405 Caucasian nuclear families. Human Genetics. 124(2). 171–177. 5 indexed citations
8.
Xiao, Peng, Shu‐Feng Lei, Fei‐Yan Deng, et al.. (2007). A Bivariate Whole-Genome Linkage Scan Suggests Several Shared Genomic Regions for Obesity and Osteoporosis. The Journal of Clinical Endocrinology & Metabolism. 92(7). 2751–2757. 41 indexed citations
9.
Xiong, Dong-Hai, Hui Shen, Peng Xiao, et al.. (2006). Genome-Wide Scan Identified QTLs Underlying Femoral Neck Cross-Sectional Geometry That Are Novel Studied Risk Factors of Osteoporosis. Journal of Bone and Mineral Research. 21(3). 424–437. 37 indexed citations
10.
Guo, Yan-Fang, Hui Shen, Yong‐Jun Liu, et al.. (2006). Assessment of Genetic Linkage and Parent-of-Origin Effects on Obesity. The Journal of Clinical Endocrinology & Metabolism. 91(10). 4001–4005. 27 indexed citations
11.
12.
Zhao, Lan-Juan, Peng Xiao, Yong‐Jun Liu, et al.. (2006). A genome-wide linkage scan for quantitative trait loci underlying obesity related phenotypes in 434 Caucasian families. Human Genetics. 121(1). 145–148. 18 indexed citations
13.
Liu, Yao-Zhong, Peng Xiao, Yan-Fang Guo, et al.. (2006). Genetic linkage of human height is confirmed to 9q22 and Xq24. Human Genetics. 119(3). 295–304. 25 indexed citations
14.
Dvornyk, Volodymyr, Jirong Long, Peng-Yuan Liu, et al.. (2005). Predictive factors for age at menopause in Caucasian females. Maturitas. 54(1). 19–26. 39 indexed citations
15.
Zhang, Yuanyuan, Peng-Yuan Liu, Yan Lü, et al.. (2005). Tests of linkage and association of PTH/PTHrP receptor type 1 gene with bone mineral density and height in Caucasians. Journal of Bone and Mineral Metabolism. 24(1). 36–41. 11 indexed citations
16.
Xu, Fu‐Hua, Yong‐Jun Liu, Hongyi Deng, et al.. (2004). A follow-up linkage study for bone size variation in an extended sample. Bone. 35(3). 777–784. 4 indexed citations
17.
Zhao, Lan-Juan, Peng-Yuan Liu, Jirong Long, et al.. (2004). Test of linkage and/or association between the estrogen receptor α gene with bone mineral density in Caucasian nuclear families. Bone. 35(2). 395–402. 8 indexed citations
18.
Liu, Yong‐Jun, Fu‐Hua Xu, Hui Shen, et al.. (2004). A Follow-Up Linkage Study for Quantitative Trait Loci Contributing to Obesity-Related Phenotypes. The Journal of Clinical Endocrinology & Metabolism. 89(2). 875–882. 27 indexed citations
19.
Long, Jirong, Peng-Yuan Liu, Yan Lü, et al.. (2004). Association between COL1A1 gene polymorphisms and bone size in Caucasians. European Journal of Human Genetics. 12(5). 383–388. 16 indexed citations
20.
Long, Jirong, Lan-Juan Zhao, Peng-Yuan Liu, et al.. (2004). Patterns of linkage disequilibrium and haplotype distribution in disease candidate genes. BMC Genetics. 5(1). 11–11. 30 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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