Liling Tang

6.0k citations
150 papers · 4.7k · 1 hit paper · h-index 35

Impact in

Papers in

Liling Tang

147 papers receiving 4.6k citations

Liling Tang's Hit Papers

MicroRNA-34 family: a potential tumor suppressor and therapeutic candidate in cancer 2019 · 427 citations
4270+2+4Years since publication100200300400

Peers

Liling Tang
Comparison fields: 5 of 156
  • Cancer Research 729
  • Biomedical Engineering 1.6k
  • Molecular Biology 1.6k
  • Aerospace Engineering 552
  • Speech and Hearing 117
Replace Weiguo Zhang with:
Weiguo Zhang China
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Chi Feng China
Akira Kamiya Japan
Rong Qiu China
Hongqiang Li China
Guoqiang Wang China
WeiShan Chen China
Naoki Suzuki Japan
Liling Tang relative to Weiguo Zhang China Weiguo Zhang's profile →
Citations per field
00.5×2×4×6×7.3×
Weiguo Zhang · 1×
Citations per year

Countries citing papers authored by Liling Tang

Since Specialization
Citations

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

Fields of papers citing papers by Liling Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MicroRNA-34 family: a potential tumor suppressor and therapeutic candidate in cancer
Hit paper breakdown →
2019427
2 2019235
3 2016217
4 2010182
5 2020156
6 2017154
7 2019131
8 2019115
9 2017114
10 2019106
11 2016103
12 201292
13 201983
14 201883
15 201783
16 202379
17 201477
18 201775
19 201668
20 201666

About Liling Tang

Liling Tang is a scholar working on Cancer Research, Biomedical Engineering, Molecular Biology, Biotechnology and Cell Biology, having authored 150 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (20 papers), Cellular Mechanics and Interactions (13 papers), RNA Research and Splicing (13 papers), Microbial Inactivation Methods (13 papers), Cancer-related molecular mechanisms research (11 papers), Aerodynamics and Acoustics in Jet Flows (11 papers), Microfluidic and Bio-sensing Technologies (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (729 citations), Biomedical Engineering (1.6k citations), Molecular Biology (1.6k citations), Aerospace Engineering (552 citations) and Speech and Hearing (117 citations). Liling Tang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Cheng Jung Li, Yi Wen Qian, Yi Lan Liao, Jianguo Feng, Lu Zhang, Jin Zhou, Nansha Gao, Hongli Ji, Jinhao Qiu and Shun Li. Their work appears in journals such as Current Pharmaceutical Design, Journal of Sound and Vibration, International Journal of Molecular Sciences, Colloids and Surfaces B Biointerfaces and International Journal of Mechanical Sciences.

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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