Liting Song
Impact in
- Periodontics top 10%
- Oral microbiology and periodontitis research
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- CRISPR and Genetic Engineering 3
- Bioinformatics and Genomic Networks 3
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 2
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Xing‐Ming Zhao (9 shared papers)Jingqi Chen (7 shared papers)Qihao Guo (2 shared papers)Changyi Li (3 shared papers)Shaoyun Jiang (5 shared papers)Yucheng Yang (2 shared papers)Jian Jiao (1 shared paper)Wei‐Hua Chen (1 shared paper)
- Journals
- Nature Communications (3 papers)Oncotarget (2 papers)Nucleic Acids Research (2 papers)Scientific Reports (1 paper)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Liting Song
25 papers receiving 345 citations
Peers
Comparison fields: 5 of 86
- Periodontics 28
- Cancer Research 63
- Neurology 30
- Biological Psychiatry 7
- Molecular Biology 180
Countries citing papers authored by Liting Song
This map shows the geographic impact of Liting Song'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 Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Song more than expected).
Fields of papers citing papers by Liting Song
This network shows the impact of papers produced by Liting Song. 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 Song. The network helps show where Liting Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting Song, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2019 | 36 | |
| 3 | 2020 | 36 | |
| 4 | 2022 | 29 | |
| 5 | 2023 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2017 | 22 | |
| 8 | 2022 | 18 | |
| 9 | 2023 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2023 | 1 | |
| 19 | Changes of parathyroid hormone in the serum of fluorosis rats taking different levels of calcium | 2006 | 1 |
| 20 | 2024 | 1 |
About Liting Song
Liting Song is a scholar working on Molecular Biology, Cancer Research, Physiology, Immunology and Periodontics, having authored 26 papers that have together received 347 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Oral microbiology and periodontitis research (3 papers), CRISPR and Genetic Engineering (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Bioinformatics and Genomic Networks (3 papers), RNA modifications and cancer (3 papers), Immune cells in cancer (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Periodontics (28 citations), Cancer Research (63 citations), Neurology (30 citations), Biological Psychiatry (7 citations) and Molecular Biology (180 citations). Liting Song has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xing‐Ming Zhao, Jingqi Chen, Qihao Guo, Changyi Li, Shaoyun Jiang, Yucheng Yang, Jian Jiao, Wei‐Hua Chen, Zi-Chao Zhang and Minwei Wang. Their work appears in journals such as Nature Communications, Oncotarget, Nucleic Acids Research, Scientific Reports and BMC Medicine.
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.