Liyang Wang

613 citations
27 papers · 363 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 3
    • Signaling Pathways in Disease 2
    • CRISPR and Genetic Engineering 2
    • RNA Interference and Gene Delivery 2
    • Tissue Engineering and Regenerative Medicine 2

Liyang Wang

22 papers receiving 359 citations

Peers

Liyang Wang
Comparison fields: 5 of 89
  • Cancer Research 36
  • Molecular Biology 161
  • Aging 4
  • Rehabilitation 14
  • Immunology 41
Replace Somponnat Sampattavanich with:
Somponnat Sampattavanich Thailand
Jiahui Wang China
Ratnakar Potla United States
Sebastian Greenhough United Kingdom
Liyan Lu China
Mostafa Ejtehadifar Iran
Vetnizah Juniantito Japan
Kevin Keane United States
Baoshan Huang China
Eunjee Kim United States
Liyang Wang relative to Somponnat Sampattavanich Thailand Somponnat Sampattavanich's profile →
Citations per field
00.5×1.5×
Somponnat Sampattavanich · 1×
Citations per year

Countries citing papers authored by Liyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201850
2 202142
3 201839
4 201732
5 202127
6 202325
7 201823
8 202422
9 202019
10 202116
11 201814
12 202311
13 20249
14 20196
15 20135
16 20225
17 20145
18 20174
19 20234
20 20242

About Liyang Wang

Liyang Wang is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Pathology and Forensic Medicine, having authored 27 papers that have together received 363 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Prostate Cancer Treatment and Research (3 papers), Signaling Pathways in Disease (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Interference and Gene Delivery (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (36 citations), Molecular Biology (161 citations), Aging (4 citations), Rehabilitation (14 citations) and Immunology (41 citations). Liyang Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianjie Ma, Zhong‐Guang Li, Xin Zhou, Joseph Bryant, George Ghartey‐Kwansah, Rui Feng, Xuehong Xu, Odell D. Jones, Steven P. Balk and Mannan Nouri. Their work appears in journals such as International Journal of Molecular Sciences, Life Sciences, Cell & Bioscience, Lubricants 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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