Liye Wang

44 papers receiving 1.1k citations

Liye Wang's Hit Papers

Long Noncoding RNA (lncRNA)-Mediated Competing Endogenous RNA Networks Provide Novel Potential Biomarkers and Therapeutic Targets for Colorectal Cancer 2019 · 477 citations
4770+2+4Years since publication100200300400

Peers

Liye Wang
Comparison fields: 5 of 126
  • Cancer Research 418
  • Health Informatics 9
  • Molecular Biology 410
  • Oncology 89
  • Pulmonary and Respiratory Medicine 98
Replace Yi Chen with:
Yi Chen China
Lili Lu China
Weimin Tang United States
Nikolay Borisov Russia
Laura Brunelli Italy
Chien-an A. Hu United States
Qiang Qu China
Panpan Ye China
Joana Santos Portugal
Nitish K. Mishra United States
Liye Wang relative to Yi Chen China Yi Chen's profile →
Citations per field
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Yi Chen · 1×
Citations per year

Countries citing papers authored by Liye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long Noncoding RNA (lncRNA)-Mediated Competing Endogenous RNA Networks Provide Novel Potential Biomarkers and Therapeutic Targets for Colorectal Cancer
Hit paper breakdown →
2019477
2 202378
3 202068
4 202165
5 202054
6 201435
7 202032
8 202025
9 202223
10 202119
11 202119
12 201116
13 201815
14 202115
15 202015
16 201414
17 202113
18 202113
19 201211
20 201810

About Liye Wang

Liye Wang is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Genetics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Breast Cancer Treatment Studies (2 papers), Sleep and Wakefulness Research (2 papers), Estrogen and related hormone effects (2 papers), Lung Cancer Research Studies (2 papers), Regulation of Appetite and Obesity (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (418 citations), Health Informatics (9 citations), Molecular Biology (410 citations), Oncology (89 citations) and Pulmonary and Respiratory Medicine (98 citations). Liye Wang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Zuoxu Xie, Bin Guo, Gabriel Tao, Kwang Bog Cho, Yan Li, Shuang Zhou, Meiyan Sun, Yue Zhou, Dinggang Shen and Yan Li. Their work appears in journals such as International Journal of Molecular Sciences, Evidence-based Complementary and Alternative Medicine, Neurological Research, Frontiers in Oncology and Anti-Cancer Agents in Medicinal Chemistry.

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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