Liting Wang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 3
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- Graphene and Nanomaterials Applications 3
- Co-authors
- Fwu‐Ling Lee (2 shared papers)Junping Wang (4 shared papers)Zhengping Yu (4 shared papers)Qin Ouyang (1 shared paper)C. Hu (2 shared papers)Chenglin Li (1 shared paper)Cheng Wang (2 shared papers)Shuo Zeng (2 shared papers)
In The Last Decade
Liting Wang
36 papers receiving 713 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 169
- Molecular Biology 423
- Endocrinology 20
- Infectious Diseases 60
- Health, Toxicology and Mutagenesis 43
Countries citing papers authored by Liting Wang
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 137 | |
| 2 | 2021 | 66 | |
| 3 | 2009 | 47 | |
| 4 | 2023 | 46 | |
| 5 | 2021 | 44 | |
| 6 | 2022 | 39 | |
| 7 | 2021 | 36 | |
| 8 | 2018 | 33 | |
| 9 | 2022 | 30 | |
| 10 | 2015 | 27 | |
| 11 | 2007 | 25 | |
| 12 | 2024 | 23 | |
| 13 | 2021 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2022 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2023 | 10 |
About Liting Wang
Liting Wang is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Endocrinology, having authored 37 papers that have together received 721 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), Graphene and Nanomaterials Applications (3 papers), Heavy Metal Exposure and Toxicity (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (169 citations), Molecular Biology (423 citations), Endocrinology (20 citations), Infectious Diseases (60 citations) and Health, Toxicology and Mutagenesis (43 citations). Liting Wang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Fwu‐Ling Lee, Junping Wang, Zhengping Yu, Qin Ouyang, C. Hu, Chenglin Li, Cheng Wang, Shuo Zeng, Mengmeng Jie and Yang Chen. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, PROTEOMICS, Antonie van Leeuwenhoek, Small and The Science of The Total Environment.
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.