Lan-Juan Zhao

1.7k citations
27 papers · 1.3k indexed · 1 hit paper · h-index 19

Lan-Juan Zhao

27 papers receiving 1.2k citations

Hit Papers

Relationship of Obesity with Osteoporosis4972007202620132019100200300400

Peers

Lan-Juan Zhao
Comparison fields: 5 of 93
  • Orthopedics and Sports Medicine 549
  • Pathology and Forensic Medicine 303
  • Physiology 347
  • Genetics 326
  • Endocrinology, Diabetes and Metabolism 154
Replace Rivka Dresner–Pollak with:
Rivka Dresner–Pollak Israel
G. Howard Australia
G. Luisetto Italy
Takumi Kurabayashi Japan
N. Kathryn Henderson Australia
Henning K. Nielsen Denmark
Peng-Yuan Liu United States
Luca D’Onofrio Italy
S. Adami Italy
E. Van Herck Belgium
Lan-Juan Zhao relative to Rivka Dresner–Pollak Israel Rivka Dresner–Pollak's profile →
Citations per field
00.5×1.5×2.0×
Rivka Dresner–Pollak · 1×
Citations per year

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

The 25 scholars most cited alongside Lan-Juan Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lan-Juan Zhao Line = papers co-authored together Lan-Juan Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201724
2 201360
3 2010121
4 201043
5 20085
6 200822
7 20085
8 200741
9 200627
10 200618
11 200637
12 200625
13 200614
14 200511
15 200539
16 20044
17 200427
18 200416
19 20048
20 200430

About Lan-Juan Zhao

Lan-Juan Zhao is a scholar working on Orthopedics and Sports Medicine, Genetics and Reproductive Medicine, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Bone health and osteoporosis research (10 papers), Bone Metabolism and Diseases (8 papers), Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Vitamin D Research Studies (4 papers), Epigenetics and DNA Methylation (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (549 citations), Pathology and Forensic Medicine (303 citations) and Physiology (347 citations). Lan-Juan Zhao has collaborated with scholars based in United States, China and Taiwan. Frequent 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. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Journal of Bone and Mineral Research.

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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