Lingli Wang

7.3k citations
184 papers · 4.9k · h-index 37

Impact in

    • Pulmonary Hypertension Research and Treatments
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Lingli Wang

175 papers receiving 4.9k citations

Peers

Lingli Wang
Comparison fields: 5 of 146
  • Pulmonary and Respiratory Medicine 2.0k
  • Cancer Research 714
  • Aging 65
  • Cardiology and Cardiovascular Medicine 767
  • Molecular Biology 2.1k
Replace Ying H. Shen with:
Ying H. Shen United States
Satoshi Yamashita Japan
Fuquan Yang China
Yuzhen Zhang China
Roger White United Kingdom
Lei Wang China
Yingyi Zhang China
Wenju Lu China
Shuang Liu China
Dan Xu China
Lingli Wang relative to Ying H. Shen United States Ying H. Shen's profile →
Citations per field
00.5×1.5×
Ying H. Shen · 1×
Citations per year

Countries citing papers authored by Lingli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007304
2 2008292
3 2004248
4 2011204
5 2016187
6 2015176
7 2007170
8 2014120
9 2015102
10 201999
11 201696
12 201992
13 200291
14 201189
15 200382
16 200578
17 200777
18 201777
19 201171
20 200970

About Lingli Wang

Lingli Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Plant Science, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 184 papers that have together received 4.9k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (30 papers), RNA modifications and cancer (8 papers), Ferroptosis and cancer prognosis (8 papers), MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Circular RNAs in diseases (7 papers) and Antibiotic Resistance in Bacteria (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.0k citations), Cancer Research (714 citations), Aging (65 citations), Cardiology and Cardiovascular Medicine (767 citations) and Molecular Biology (2.1k citations). Lingli Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Marlene Rabinovitch, Vinicio A. de Jesús Pérez, Aiqin Cao, Tero‐Pekka Alastalo, Takashi Urashima, Georg Hansmann, Christophe Guignabert, Jan K. Hennigs, Julian P. T. Higgins and James D. Brooks. Their work appears in journals such as Circulation Research, Circulation, Journal of Antimicrobial Chemotherapy, Journal of Ethnopharmacology 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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