Liting Li
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- S100 Proteins and Annexins 3
- Circular RNAs in diseases 2
-
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Yimin Liu (2 shared papers)Zhuofei Bi (2 shared papers)Xiaohui Zhao (2 shared papers)Yanhui Jiang (2 shared papers)Zhihua Li (2 shared papers)Shangyou Zheng (2 shared papers)Zhiqiang Fu (1 shared paper)Qing Lin (1 shared paper)
- Journals
- The Science of The Total Environment (2 papers)Anticancer Research (2 papers)Microchimica Acta (1 paper)Mathematical Methods in the Applied Sciences (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Liting Li
17 papers receiving 342 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 153
- Molecular Biology 161
- Health, Toxicology and Mutagenesis 17
- Organic Chemistry 34
- Environmental Engineering 16
Countries citing papers authored by Liting Li
This map shows the geographic impact of Liting Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Li more than expected).
Fields of papers citing papers by Liting Li
This network shows the impact of papers produced by Liting Li. 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 Li. The network helps show where Liting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2015 | 57 | |
| 3 | 2020 | 29 | |
| 4 | 2005 | 28 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2017 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2024 | 6 | |
| 14 | 2017 | 6 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2023 | 0 |
About Liting Li
Liting Li is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Oncology and Physiology, having authored 20 papers that have together received 344 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (3 papers), Circular RNAs in diseases (2 papers), Axon Guidance and Neuronal Signaling (2 papers), MicroRNA in disease regulation (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer-related molecular mechanisms research (2 papers), Mathematical Biology Tumor Growth (1 paper) and Polymer-Based Agricultural Enhancements (1 paper). The work is most often cited by research in Cancer Research (153 citations), Molecular Biology (161 citations), Health, Toxicology and Mutagenesis (17 citations), Organic Chemistry (34 citations) and Environmental Engineering (16 citations). Liting Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yimin Liu, Zhuofei Bi, Xiaohui Zhao, Yanhui Jiang, Zhihua Li, Shangyou Zheng, Zhiqiang Fu, Qing Lin, Wenzhu Li and Yuxin Cui. Their work appears in journals such as The Science of The Total Environment, Anticancer Research, Microchimica Acta, Mathematical Methods in the Applied Sciences and Journal of Medicinal Chemistry.
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.