Weiping Liu

25 papers receiving 629 citations

Peers

Weiping Liu
Comparison fields: 5 of 110
  • Accounting 83
  • Organizational Behavior and Human Resource Management 75
  • Immunology 150
  • Cancer Research 94
  • Oncology 166
Replace Marta Olejarová with:
Marta Olejarová Czechia
Meiling Tang China
Xiaoyan Cheng China
G. Raghuram India
Young-Kyu Park South Korea
Hiroko Nagano Japan
Yue Sui China
Changchun Zhu China
Liting Yang China
Weiping Liu relative to Marta Olejarová Czechia Marta Olejarová's profile →
Citations per field
00.5×11.9×
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 2018241
2 201099
3 201862
4 200849
5
Betulinic acid induces autophagy-mediated apoptosis through suppression of the PI3K/AKT/mTOR signaling pathway and inhibits hepatocellular carcinoma.
201939
6 201837
7 202127
8 202317
9 201912
10 202212
11 19946
12
Total-Body Parametric Imaging using Kernel and Direct Reconstruction on the uEXPLORER
20196
13 20245
14 20124
15 20154
16 20203
17 20223
18 20142
19 20252
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, Immunology, Molecular Biology and Oncology, having authored 28 papers that have together received 637 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), melanin and skin pigmentation (2 papers), Ovarian function and disorders (2 papers), 3D Printing in Biomedical Research (2 papers), Endometriosis Research and Treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Accounting (83 citations), Organizational Behavior and Human Resource Management (75 citations), Immunology (150 citations), Cancer Research (94 citations) and Oncology (166 citations). Weiping Liu has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Haibin Yang, Guangxi Zhang, Qi Wang, Zhiyu Wang, Yifeng Zheng, Fengxue Zhang, Neng Wang, Shengqi Wang, Min Li and Ju‐Xian Song. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Asia Pacific Journal of Management, International Journal of Biological Macromolecules, Soft Matter and Biological Trace Element Research.

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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