Wang Liu

468 citations
29 papers · 282 · h-index 9

Impact in

Papers in

Wang Liu

28 papers receiving 278 citations

Peers

Wang Liu
Comparison fields: 5 of 72
  • Cancer Research 64
  • Oncology 76
  • Immunology 47
  • Molecular Biology 141
  • Pulmonary and Respiratory Medicine 62
Replace Kyle M. LaPak with:
Kyle M. LaPak United States
Norimichi Kogure Japan
Jingtai Zhi China
Jianchao Zheng China
Datong Zheng China
Terry J. Shackleford United States
Shiqiang Hou China
Susanne Lingelbach Germany
Raja S. Seethala United States
Wang Liu relative to Kyle M. LaPak United States Kyle M. LaPak's profile →
Citations per field
00.5×1.7×
Kyle M. LaPak · 1×
Citations per year

Countries citing papers authored by Wang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201162
2 201952
3 202134
4 202121
5 202017
6 202111
7 20219
8 20249
9 20198
10
Aberrant expression of multiple glycolytic enzyme genes is significantly associated with disease progression and survival outcomes in prostate cancers.
20237
11 20226
12 20206
13
[Experimental study on p53 gene mutation in keloid fibroblasts].
20045
14 20234
15 20244
16 20224
17 20253
18 20243
19 20213
20
Expressions of glucose transporter genes are diversely attenuated and significantly associated with prostate cancer progression.
20233

About Wang Liu

Wang Liu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 29 papers that have together received 282 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (8 papers), Cancer, Lipids, and Metabolism (4 papers), RNA modifications and cancer (4 papers), Iron Metabolism and Disorders (2 papers), Prostate Cancer Treatment and Research (2 papers), Cancer-related Molecular Pathways (2 papers), Traditional Chinese Medicine Analysis (2 papers) and Obstructive Sleep Apnea Research (2 papers). The work is most often cited by research in Cancer Research (64 citations), Oncology (76 citations), Immunology (47 citations), Molecular Biology (141 citations) and Pulmonary and Respiratory Medicine (62 citations). Wang Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chia‐Yang Liu, Xia Hou, Benyi Li, Yu Zeng, Xiuping Yu, Sahar Shekoohi, Jinhu Wang, Dhaval S. Patel, Shu Yang and Mingyi Li. Their work appears in journals such as Frontiers in Oncology, BioMed Research International, Frontiers in Pharmacology, Clinica Chimica Acta 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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