Tingting Li
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Oncology top 10%
- Materials Chemistry
- Cancer Research top 10%
- Co-authors
- Shou‐Jiang GaoEnguo JuSuzane Ramos da SilvaLiansheng LingXiaolan ChenJing WangYuan WangZhi Sheng
- Topics
- Advanced biosensing and bioanalysis techniques (26 papers)Biosensors and Analytical Detection (10 papers)Viral-associated cancers and disorders (9 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Tingting Li
115 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 143
- Molecular Biology 966
- Biomedical Engineering 406
- Oncology 299
- Materials Chemistry 244
- Cancer Research 229
Countries citing papers authored by Tingting Li
This map shows the geographic impact of Tingting 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 Tingting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Li more than expected).
Fields of papers citing papers by Tingting Li
This network shows the impact of papers produced by Tingting 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 Tingting Li. The network helps show where Tingting Li may publish in the future.
Co-authorship network of co-authors of Tingting Li
This figure shows the co-authorship network connecting the top 25 collaborators of Tingting Li. A scholar is included among the top collaborators of Tingting Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingting Li. Tingting Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 10 | |
| 12 | 36 | |
| 13 | 5 | |
| 14 | 32 | |
| 15 | Spatial scale analysis of the species diversity and distribution of rare and endangered plants in northwest Hubei, China. | 2 |
| 16 | Application and future development of unmanned aerial vehicle in forestry. | 5 |
| 17 | 9 | |
| 18 | 1 | |
| 19 | Study on the spatial distribution patterns and maintaining mechanisms of dominant trees in Taiyue Mountain, Shanxi. | 1 |
| 20 | The application of close-to-nature forest development types in forest management type improvement in China. | 1 |
About Tingting Li
Tingting Li is a scholar working on Cancer Research, Oncology and Ecological Modeling, having authored 122 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (26 papers), Biosensors and Analytical Detection (10 papers) and Viral-associated cancers and disorders (9 papers). The work is most often cited by research in Cancer Research (229 citations), Molecular Biology (966 citations) and Oncology (299 citations). Tingting Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shou‐Jiang Gao, Enguo Ju, Suzane Ramos da Silva, Liansheng Ling, Xiaolan Chen, Jing Wang, Yuan Wang, Zhi Sheng, Li Xu and Yu Tian. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and ACS Nano.
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.