Jue Liu

23.5k citations
405 papers · 8.6k indexed · 11 hit papers · h-index 44

Impact in

Papers in

Jue Liu

377 papers receiving 8.4k citations

Hit Papers

The associations of socioeconomic status, social activities, and loneliness with depressive symptoms in adults aged 50 years and older across 24 countries: findings from five prospective cohort studies 2024 · 35 citations
352019202620212023100200300400

Peers

Jue Liu
Comparison fields: 5 of 206
  • Modeling and Simulation 1.0k
  • Health 1.0k
  • Infectious Diseases 2.0k
  • Obstetrics and Gynecology 720
  • Hepatology 604
Replace Min Liu with:
Min Liu China
Kenji Shibuya Japan
Laurence S. Freedman Israel
Harry Campbell United Kingdom
Jamie Lopez Bernal United Kingdom
Chris Robertson United Kingdom
Martin C. S. Wong Hong Kong
Demetrios�� Spandidos Greece
Neil Pearce New Zealand
Antoine Flahault France
Jue Liu relative to Min Liu China Min Liu's profile →
Citations per field
00.5×1.5×
Min Liu · 1×
Citations per year

Countries citing papers authored by Jue Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jue Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
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17
Baicalin Attenuates YAP Activity to Suppress Ovarian Cancer Stemness
20201
18 20208
19 201822
20 201812

About Jue Liu

Jue Liu is a scholar working on Health, Modeling and Simulation, Obstetrics and Gynecology, Infectious Diseases and Virology, having authored 405 papers that have together received 8.6k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (34 papers), COVID-19 epidemiological studies (34 papers), Health disparities and outcomes (32 papers), Pregnancy and preeclampsia studies (26 papers), SARS-CoV-2 and COVID-19 Research (22 papers), Climate Change and Health Impacts (21 papers), Gestational Diabetes Research and Management (20 papers) and Hepatitis B Virus Studies (20 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Health (1.0k citations), Infectious Diseases (2.0k citations), Obstetrics and Gynecology (720 citations) and Hepatology (604 citations). Jue Liu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Min Liu, Wenzhan Jing, Min Du, Wannian Liang, Guiying Cao, Yu Wu, Chenyuan Qin, Liyuan Tao, Qiuyue Ma and Liangyu Kang. Their work appears in journals such as Vaccines, Frontiers in Public Health, International Journal of Environmental Research and Public Health, Human Vaccines & Immunotherapeutics and BMC Public Health.

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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