Liting Wang

1.3k citations
38 papers · 766 · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies

Papers in

Liting Wang

38 papers receiving 757 citations

Peers

Liting Wang
Comparison fields: 5 of 102
  • Cancer Research 160
  • Molecular Biology 411
  • Endocrinology 21
  • Infectious Diseases 57
  • Health, Toxicology and Mutagenesis 44
Replace Rocío Tapia with:
Rocío Tapia United States
Enhui Shen China
Yitong Zhao China
Qinggang Xu China
Feng Tang China
Chunfang Zhao China
Susan Wu United States
Qinsi Yang China
Connie Chen United States
Srinivas Patnaik India
Liting Wang relative to Rocío Tapia United States Rocío Tapia's profile →
Citations per field
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Rocío Tapia · 1×
Citations per year

Countries citing papers authored by Liting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020144
2 202166
3 202350
4 202150
5 200947
6 202243
7 202137
8 201833
9 202232
10 202428
11 201527
12 200725
13 202117
14 202016
15 202015
16 202312
17 202212
18 202211
19 202110
20 202110

About Liting Wang

Liting Wang is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Endocrinology, having authored 38 papers that have together received 766 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Vibrio bacteria research studies (4 papers), Autophagy in Disease and Therapy (4 papers), Ferroptosis and cancer prognosis (4 papers), Heavy Metal Exposure and Toxicity (3 papers), Graphene and Nanomaterials Applications (3 papers), RNA modifications and cancer (3 papers) and Carbon and Quantum Dots Applications (2 papers). The work is most often cited by research in Cancer Research (160 citations), Molecular Biology (411 citations), Endocrinology (21 citations), Infectious Diseases (57 citations) and Health, Toxicology and Mutagenesis (44 citations). Liting Wang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Fwu‐Ling Lee, Junping Wang, Zhou Zhou, Zhengping Yu, Yaran Wu, Yangfan Lv, Qian Dai, Kebin Zhang, Mengmeng Jie and Cheng Wang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, PROTEOMICS, Antonie van Leeuwenhoek, The Science of The Total Environment and Small.

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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