Wanting Liu

2.0k citations
83 papers · 1.3k · h-index 18

Impact in

Papers in

Wanting Liu

72 papers receiving 1.3k citations

Peers

Wanting Liu
Comparison fields: 5 of 127
  • Biological Psychiatry 76
  • Molecular Biology 620
  • Obstetrics and Gynecology 49
  • Physiology 150
  • Cancer Research 85
Replace Mahmoud Mahmoudi with:
Mahmoud Mahmoudi Iran
Jérôme Lugrin Switzerland
In‐Jeoung Baek South Korea
Borja Ocón Spain
Eunha Kim South Korea
Mirim Jin South Korea
Kaiji Sun China
Eveline Gart Netherlands
Ruonan Li China
Mohammad Najafi Iran
Wanting Liu relative to Mahmoud Mahmoudi Iran Mahmoud Mahmoudi's profile →
Citations per field
00.5×1.5×2×2.3×
Mahmoud Mahmoudi · 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-authors

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

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020256
2 2020126
3 202055
4 201353
5 201548
6 202143
7 202043
8 201840
9 201740
10 201729
11 202129
12 201628
13 201627
14 202125
15 202123
16 201822
17 202022
18 202318
19 202017
20 202317

About Wanting Liu

Wanting Liu is a scholar working on Molecular Biology, Plant Science, Psychiatry and Mental health, Oncology and Physiology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (8 papers), Alzheimer's disease research and treatments (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Botany and Plant Ecology Studies (3 papers), Gut microbiota and health (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Molecular Biology (620 citations), Obstetrics and Gynecology (49 citations), Physiology (150 citations) and Cancer Research (85 citations). Wanting Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yongzheng Peng, Feifan Wu, Zihao Ou, Zhi Lü, Yonghong Peng, Yuting Fu, Weidong Qian, Desmond J. Tobin, Ting Wang and Miao Liu. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Plant Science, Cell Death and Disease, Plants and Theranostics.

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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