Hai‐Wei Liang

999 citations
31 papers · 772 indexed · h-index 16
Topics
Cancer-related molecular mechanisms research (15 papers)MicroRNA in disease regulation (13 papers)RNA modifications and cancer (12 papers)

In The Last Decade

Hai‐Wei Liang

31 papers receiving 765 citations

Peers

Hai‐Wei Liang
Comparison fields: 5 of 127
  • Molecular Biology 428
  • Cancer Research 272
  • Health, Toxicology and Mutagenesis 74
  • Physiology 59
  • Epidemiology 54
Replace Wei-Chun Chou with:
Wei-Chun Chou United States
Chi‐Jung Huang Taiwan
Mary Ann Cox United States
Mohammad Abdi Iran
Kui Deng China
Chunyan Wang China
Violeta Arsenescu United States
Alexandra Kalogeraki Greece
Saba Khaliq Pakistan
Qiuming Yao China
Hai‐Wei Liang relative to Wei-Chun Chou United States Wei-Chun Chou's profile →
Citations per field
00.5×10×15.5×
Wei-Chun Chou · 1×
Citations per year

Countries citing papers authored by Hai‐Wei Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Wei Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Wei Liang. 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 Hai‐Wei Liang. The network helps show where Hai‐Wei Liang may publish in the future.

Co-authorship network of co-authors of Hai‐Wei Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Wei Liang. A scholar is included among the top collaborators of Hai‐Wei Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hai‐Wei Liang. Hai‐Wei Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 12
3 2
4 11
5 14
6 48
7 37
8 29
9 20
10 24
11 102
12 11
13 24
14 16
15
Clinical value and potential targets of miR-224-5p in hepatocellular carcinoma validated by a TCGA- and GEO- based study.
2
16 4
17 32
18 27
19 23
20 32

About Hai‐Wei Liang

Hai‐Wei Liang is a scholar working on Cancer Research, Energy Engineering and Power Technology and Molecular Biology, having authored 31 papers that have together received 772 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (15 papers), MicroRNA in disease regulation (13 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Cancer Research (272 citations), Biological Psychiatry (36 citations) and Molecular Biology (428 citations). Hai‐Wei Liang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gang Chen, Zhaolai Dai, Jingqing Chen, Guoyao Wu, Ying Yang, Zhenlong Wu, Kaiji Sun, Fanghui Ren, Rong‐Quan He and Yi‐Wu Dang. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Microbiology.

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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