Lili Wang

6.3k citations
178 papers · 4.8k · h-index 37

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery

Papers in

Lili Wang

168 papers receiving 4.8k citations

Peers

Lili Wang
Comparison fields: 5 of 156
  • Cancer Research 1.9k
  • Molecular Biology 2.4k
  • Pharmaceutical Science 138
  • Biomaterials 234
  • Pulmonary and Respiratory Medicine 494
Replace Jun Yan with:
Jun Yan China
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Bin Guo China
Oliver Thews Germany
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Lili Wang relative to Jun Yan China Jun Yan's profile →
Citations per field
00.5×1.5×
Jun Yan · 1×
Citations per year

Countries citing papers authored by Lili Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lili Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015342
2 2001303
3 2011218
4 2021148
5 2001136
6 2018116
7 2012109
8 2014106
9 2019104
10 2011100
11 2017100
12 201397
13 201491
14 201791
15 201786
16 201484
17 202273
18 201369
19 201765
20 201561

About Lili Wang

Lili Wang is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 178 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (39 papers), MicroRNA in disease regulation (29 papers), Circular RNAs in diseases (23 papers), RNA modifications and cancer (11 papers), Prostate Cancer Treatment and Research (7 papers), RNA Research and Splicing (7 papers), Neonatal Respiratory Health Research (6 papers) and Lung Cancer Research Studies (5 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (2.4k citations), Pharmaceutical Science (138 citations), Biomaterials (234 citations) and Pulmonary and Respiratory Medicine (494 citations). Lili Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yang Zhao, Shuo Chen, Donghua Liu, Zhihong Liu, Na Zhang, Zhi‐Hong Zong, Tisato Kajiyama, Naoya Ogata, Sono Sasaki and Lutao Du. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Annals of Translational Medicine, The Journal of Physical Chemistry A, Medical Oncology and PLoS ONE.

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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