Wanting Liu

1.9k citations
79 papers · 1.2k indexed · 1 hit paper · h-index 18

Wanting Liu

70 papers receiving 1.2k citations

Hit Papers

Protective effects of Akkermansia muciniphila on cognitiv...245202020262022202450100150200

Peers

Wanting Liu
Comparison fields: 5 of 128
  • Biological Psychiatry 90
  • Molecular Biology 654
  • Obstetrics and Gynecology 60
  • Physiology 180
  • Cancer Research 100
Replace In‐Jeoung Baek with:
In‐Jeoung Baek South Korea
Muhammad Imran Naseer Saudi Arabia
Borja Ocón Spain
Eunha Kim South Korea
Mahmoud Mahmoudi Iran
Ruonan Li China
Mirim Jin South Korea
Suhrid Banskota South Korea
Xiaohong Li China
Ruiyue Yang China
Wanting Liu relative to In‐Jeoung Baek South Korea In‐Jeoung Baek's profile →
Citations per field
00.5×
In‐Jeoung Baek · 1×
Citations per year

Countries citing papers authored by Wanting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 202412
5 20245
6 20246
7 20241
8 202314
9 20234
10 202313
11 20235
12 20236
13 20238
14 20226
15 20226
16 20223
17 202116
18 202017
19 202042
20 201916

About Wanting Liu

Wanting Liu is a scholar working on Equine, Psychiatry and Mental health, Molecular Biology, Cancer Research and Agronomy and Crop Science, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (7 papers), Alzheimer's disease research and treatments (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), Functional Brain Connectivity Studies (4 papers), Epigenetics and DNA Methylation (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Biological Psychiatry (90 citations), Molecular Biology (654 citations), Obstetrics and Gynecology (60 citations), Physiology (180 citations) and Cancer Research (100 citations). Wanting Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yongzheng Peng, Zhi Lü, Feifan Wu, Zihao Ou, Yonghong Peng, Miao Liu, Yuting Fu, Weidong Qian, Desmond J. Tobin and Ting Wang. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Plant Science, Theranostics, Cell Death and Disease and Scientific Reports.

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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