Ju Liu

9.2k citations
342 papers · 6.2k indexed · h-index 40

Ju Liu

326 papers receiving 6.1k citations

Peers

Ju Liu
Comparison fields: 5 of 177
  • Immunology 1.1k
  • Cancer Research 597
  • Endocrine and Autonomic Systems 236
  • Molecular Biology 2.2k
  • Nephrology 180
Replace Hongwei Wang with:
Hongwei Wang China
Ahmed Nadeem Saudi Arabia
Rong‐Sen Yang Taiwan
Min Zhang China
Xiaojie Wang China
Pietro Formisano Italy
Francesco Bèguinot Italy
Lan Huang China
Maria Carmen Martínez France
Yingmei Zhang China
Ju Liu relative to Hongwei Wang China Hongwei Wang's profile →
Citations per field
00.5×1.5×
Hongwei Wang · 1×
Citations per year

Countries citing papers authored by Ju Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ju Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20241
4 20243
5 20241
6 202413
7 20244
8 20239
9 20231
10 20234
11 201999
12 201820
13 201813
14 201842
15
Genetic variation of Xenocypris argentea between different populations based on mitochondrial COI gene
20152
16
The Function Confirmation of Ve Gene Homolog in S. linnaeanum Related to Verticillium Wilt Resistance by VIGS
20141
17 20142
18
Distribution Characteristics and Drug Resistance of Wound Surface Bacteria in Patients with Burns
20131
19 200844
20
The effects of “warm Yang,replenish energy,invigorate blood circulation and eliminated blood stasis compound prescription” in rats with chronic morphine dependence
20002

About Ju Liu

Ju Liu is a scholar working on Immunology, Molecular Biology and Oncology, having authored 342 papers that have together received 6.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (21 papers), Multiple Sclerosis Research Studies (12 papers), Heavy Metal Exposure and Toxicity (10 papers), Regulation of Appetite and Obesity (10 papers), Cytokine Signaling Pathways and Interactions (10 papers), Cell Adhesion Molecules Research (9 papers), MicroRNA in disease regulation (7 papers) and Inflammasome and immune disorders (7 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (597 citations) and Endocrine and Autonomic Systems (236 citations). Ju Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Carolyn Kapron, Fengyun Dong, Corrinne G. Lobe, Allan Lau, Suhua Yan, Kaiyong Cai, Ye He, Liqun Li, Youichiro Wada and Yinglong Hou. Their work appears in journals such as International Journal of Molecular Medicine, Journal of Neuroimmunology, Gene, Frontiers in Immunology and Oncotarget.

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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