Weiping Liu

25 papers receiving 655 citations

Peers

Weiping Liu
Comparison fields: 5 of 108
  • Organizational Behavior and Human Resource Management 77
  • Accounting 85
  • Immunology 133
  • Oncology 136
  • Cancer Research 64
Replace Marta Olejarová with:
Marta Olejarová Czechia
Xiaojing Guan China
Meiling Tang China
Changchun Zhu China
Hiroko Nagano Japan
Xiaoyan Cheng China
Yue Sui China
Hyuna Kim South Korea
Ryo Okuyama Japan
Kevin R. Gray United States
Weiping Liu relative to Marta Olejarová Czechia Marta Olejarová's profile →
Citations per field
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Marta Olejarová · 1×
Citations per year

Countries citing papers authored by Weiping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018247
2 2010103
3 201863
4 200850
5
Betulinic acid induces autophagy-mediated apoptosis through suppression of the PI3K/AKT/mTOR signaling pathway and inhibits hepatocellular carcinoma.
201941
6 201840
7 202129
8 202320
9 202213
10 201912
11 20246
12 19946
13
Total-Body Parametric Imaging using Kernel and Direct Reconstruction on the uEXPLORER
20196
14 20225
15 20124
16 20154
17 20203
18 20253
19 20242
20
[Effects of urokinase intervention on endotoxin-induced DIC in Wistar rat model].
20102

About Weiping Liu

Weiping Liu is a scholar working on Cell Biology, Pathology and Forensic Medicine, Oncology, Epidemiology and Nutrition and Dietetics, having authored 28 papers that have together received 665 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Endometriosis Research and Treatment (2 papers), melanin and skin pigmentation (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), 3D Printing in Biomedical Research (2 papers), Vehicle emissions and performance (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (77 citations), Accounting (85 citations), Immunology (133 citations), Oncology (136 citations) and Cancer Research (64 citations). Weiping Liu has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Guangxi Zhang, Haibin Yang, Neng Wang, Shengqi Wang, Fengxue Zhang, Yifeng Zheng, Zhiyu Wang, Qi Wang, Bowen Yang and Xiaotong Zhang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Biological Trace Element Research, Phytomedicine, Breast Cancer Research and International Journal of Biological Macromolecules.

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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