Lingting Li
Impact in
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- Bacterial Genetics and Biotechnology
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 3
- Signaling Pathways in Disease 1
- Genetics 7
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Yu Zhang (8 shared papers)Chengli Fang (4 shared papers)Tiantian Wang (1 shared paper)Jing Shi (3 shared papers)Liqiang Shen (3 shared papers)Yu Feng (3 shared papers)Wei Lin (1 shared paper)Richard H. Ebright (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (2 papers)Cell Metabolism (1 paper)Journal of Biological Chemistry (1 paper)eLife (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Lingting Li
13 papers receiving 283 citations
Lingting Li's Hit Papers
Peers
Comparison fields: 5 of 59
- Genetics 89
- Molecular Biology 204
- Cancer Research 43
- Endocrinology 12
- Ecology 58
Countries citing papers authored by Lingting Li
This map shows the geographic impact of Lingting 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 Lingting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingting Li more than expected).
Fields of papers citing papers by Lingting Li
This network shows the impact of papers produced by Lingting 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 Lingting Li. The network helps show where Lingting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingting 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 | Nuclear GTPSCS functions as a lactyl-CoA synthetase to promote histone lactylation and gliomagenesis Hit paper breakdown → | 2024 | 79 |
| 2 | 2019 | 50 | |
| 3 | 2019 | 29 | |
| 4 | 2020 | 28 | |
| 5 | 2019 | 24 | |
| 6 | 2021 | 18 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2021 | 7 | |
| 11 | 2024 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2018 | 3 |
About Lingting Li
Lingting Li is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Oncology, having authored 13 papers that have together received 284 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (7 papers), Bacteriophages and microbial interactions (4 papers), RNA modifications and cancer (3 papers), Plant Molecular Biology Research (2 papers), Signaling Pathways in Disease (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Genetics (89 citations), Molecular Biology (204 citations), Cancer Research (43 citations), Endocrinology (12 citations) and Ecology (58 citations). Lingting Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yu Zhang, Chengli Fang, Tiantian Wang, Jing Shi, Liqiang Shen, Yu Feng, Wei Lin, Richard H. Ebright, Vadim Molodtsov and Ruilong Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Cell Metabolism, Journal of Biological Chemistry and eLife.
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.