Wang Ju

820 citations
50 papers · 647 · h-index 17

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 5
    • Epigenetics and DNA Methylation 3
    • Intracranial Aneurysms: Treatment and Complications 4
    • Vascular Malformations Diagnosis and Treatment 3
    • Neurosurgical Procedures and Complications 2

Wang Ju

48 papers receiving 640 citations

Peers

Wang Ju
Comparison fields: 5 of 111
  • Neurology 98
  • Biological Psychiatry 14
  • Developmental Neuroscience 22
  • Neurology 36
  • Health, Toxicology and Mutagenesis 57
Replace Qin Huang with:
Qin Huang China
Yu‐Mi Jeon South Korea
Sandra Rebelo Portugal
Karen E. Roder United States
Meryem Tardivel France
Yanping Dai China
D. Roselyn Cerutis United States
Elena Pompili Italy
Jian-Sheng Gong Japan
Rita Perfeito Portugal
Wang Ju relative to Qin Huang China Qin Huang's profile →
Citations per field
00.5×2.9×
Qin Huang · 1×
Citations per year

Countries citing papers authored by Wang Ju

Since Specialization
Citations

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

Fields of papers citing papers by Wang Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Ju, 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 Wang Ju Line = papers co-authored together Wang Ju links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200456
2 201049
3 201848
4 202333
5 201033
6 200732
7
Human papillomavirus infection correlates with inflammatory Stat3 signaling activity and IL-17 expression in patients with breast cancer.
201629
8 201228
9 200627
10 201624
11 201023
12 201723
13 201823
14 201622
15 201722
16 200720
17 201317
18 202415
19 201613
20 201713

About Wang Ju

Wang Ju is a scholar working on Molecular Biology, Neurology, Epidemiology, Physiology and Oncology, having authored 50 papers that have together received 647 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (5 papers), Intracranial Aneurysms: Treatment and Complications (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Alzheimer's disease research and treatments (3 papers), Epigenetics and DNA Methylation (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Neurology (98 citations), Biological Psychiatry (14 citations), Developmental Neuroscience (22 citations), Neurology (36 citations) and Health, Toxicology and Mutagenesis (57 citations). Wang Ju has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Z. Jennie, Ming D. Li, Justin K. Kane, Yan Fu, Yong-Dong Li, Ming‐Hua Li, Junran Cao, Jennifer B. Dwyer, Frances M. Leslie and Jinxue Wei. Their work appears in journals such as Scientific Reports, The International Journal of Neuropsychopharmacology, RSC Advances, PLoS ONE and Food Research International.

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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