Jun-Ye Liu

836 citations
14 papers · 564 · 1 hit paper · h-index 8

Impact in

  • Biophysics top 5%
    • Electromagnetic Fields and Biological Effects
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Jun-Ye Liu

14 papers receiving 555 citations

Jun-Ye Liu's Hit Papers

Updates on global epidemiology, risk and prognostic factors of gastric cancer 2023 · 241 citations
2410+1+2Years since publication50100150200

Peers

Jun-Ye Liu
Comparison fields: 5 of 95
  • Biophysics 55
  • Cancer Research 92
  • Oncology 112
  • Pulmonary and Respiratory Medicine 90
  • Cell Biology 45
Replace Kazuo Yamabe with:
Kazuo Yamabe Japan
Juntao Li China
Mohammad Reza Sarookhani Iran
Erica Repaci Italy
M.C. D’Alessio Italy
Nicoletta Urbano Italy
Miriam McQuade United States
Xiaohua Gong United States
Jie Yao China
Weihao Chen China
Jun-Ye Liu relative to Kazuo Yamabe Japan Kazuo Yamabe's profile →
Citations per field
00.5×10×15×20×24.8×
Kazuo Yamabe · 1×
Citations per year

Countries citing papers authored by Jun-Ye Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Ye Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
Updates on global epidemiology, risk and prognostic factors of gastric cancer
Hit paper breakdown →
2023241
2 2011124
3 201349
4 201739
5 201337
6 201031
7 201313
8 20179
9 20166
10 20194
11 20183
12 20213
13 20183
14 20112

About Jun-Ye Liu

Jun-Ye Liu is a scholar working on Biophysics, Surgery, Molecular Biology, Cell Biology and Genetics, having authored 14 papers that have together received 564 indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (4 papers), Mechanisms of cancer metastasis (1 paper), Demographic Trends and Gender Preferences (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Biofield Effects and Biophysics (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Biophysics (55 citations), Cancer Research (92 citations), Oncology (112 citations), Pulmonary and Respiratory Medicine (90 citations) and Cell Biology (45 citations). Jun-Ye Liu has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Lei Guo, Heping Zhao, Jing Lv, Jie Pu, Ji-Han Wang, Yan Yu, Wenjuan Yang, Guozhen Guo, Guirong Ding and Xiaoming Su. Their work appears in journals such as Tumor Biology, Toxicology, International Journal of Environmental Research and Public Health, Chinese Journal of Integrative Medicine and Environmental Toxicology and Pharmacology.

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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