Liling Tang

5.8k citations
154 papers · 4.5k · 1 hit paper · h-index 34

Impact in

Papers in

Liling Tang

151 papers receiving 4.4k citations

Liling Tang's Hit Papers

MicroRNA-34 family: a potential tumor suppressor and therapeutic candidate in cancer 2019 · 413 citations
4130+2+4Years since publication100200300400

Peers

Liling Tang
Comparison fields: 5 of 157
  • Cancer Research 720
  • Biomedical Engineering 1.6k
  • Molecular Biology 1.6k
  • Aerospace Engineering 546
  • Speech and Hearing 116
Replace Hong Ouyang with:
Hong Ouyang China
Hiroshi Tsukamoto Japan
Akira Kamiya Japan
Weiguo Zhang China
Rong Qiu China
Xiaoping Xu China
Qingfeng Li China
Zhong Li China
Wei Tang China
Liling Tang relative to Hong Ouyang China Hong Ouyang's profile →
Citations per field
00.5×8.9×
Hong Ouyang · 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 154 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 →
2019413
2 2019227
3 2016207
4 2010175
5 2020153
6 2017149
7 2019128
8 2019113
9 2017113
10 2019103
11 201698
12 201291
13 201882
14 201980
15 201779
16 201476
17 201773
18 202367
19 201663
20 201753

About Liling Tang

Liling Tang is a scholar working on Molecular Biology, Biomedical Engineering, Cancer Research, Cell Biology and Oncology, having authored 154 papers that have together received 4.5k indexed citations. Recurring topics across this work include Acoustic Wave Phenomena Research (20 papers), Cellular Mechanics and Interactions (14 papers), RNA Research and Splicing (13 papers), Microbial Inactivation Methods (13 papers), Aerodynamics and Acoustics in Jet Flows (11 papers), Cancer-related molecular mechanisms research (10 papers), Microfluidic and Bio-sensing Technologies (10 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (720 citations), Biomedical Engineering (1.6k citations), Molecular Biology (1.6k citations), Aerospace Engineering (546 citations) and Speech and Hearing (116 citations). Liling Tang has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Cheng Li, Qian Yi, Yi Liao, Jianguo Feng, Lu Zhang, Jin Zhou, Jinhao Qiu, Hongli Ji, Nansha Gao and Kean Chen. Their work appears in journals such as Current Pharmaceutical Design, Journal of Sound and Vibration, International Journal of Molecular Sciences, OncoTargets and Therapy 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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