Linli Yao
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 10%
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
- Oncology 14
- Cancer Immunotherapy and Biomarkers 5
- Cancer Cells and Metastasis 3
- Colorectal Cancer Treatments and Studies 3
- Co-authors
- Eng‐Ang Ling (6 shared papers)Aijun Hao (4 shared papers)Enci Mary Kan (3 shared papers)Charanjit Kaur (3 shared papers)S. Thameem Dheen (2 shared papers)Jia Lu (2 shared papers)Shengfu Wang (6 shared papers)Xun Zhang (6 shared papers)
- Journals
- Cellular Oncology (4 papers)Journal of Neuroinflammation (2 papers)PLoS ONE (2 papers)Journal of Clinical Oncology (2 papers)International Journal of Biological Sciences (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Linli Yao
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Neurology 207
- Biological Psychiatry 32
- Endocrine and Autonomic Systems 68
- Immunology 192
- Cancer Research 114
Countries citing papers authored by Linli Yao
This map shows the geographic impact of Linli Yao'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 Linli Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linli Yao more than expected).
Fields of papers citing papers by Linli Yao
This network shows the impact of papers produced by Linli Yao. 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 Linli Yao. The network helps show where Linli Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Linli Yao, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 257 | |
| 2 | 2021 | 109 | |
| 3 | 2013 | 105 | |
| 4 | 2018 | 97 | |
| 5 | 2021 | 91 | |
| 6 | 2012 | 59 | |
| 7 | 2019 | 48 | |
| 8 | 2013 | 35 | |
| 9 | 2019 | 34 | |
| 10 | 2020 | 34 | |
| 11 | 2019 | 31 | |
| 12 | 2022 | 28 | |
| 13 | 2023 | 28 | |
| 14 | 2015 | 28 | |
| 15 | 2020 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2020 | 23 | |
| 18 | 2013 | 21 | |
| 19 | 2023 | 17 | |
| 20 | 2020 | 17 |
About Linli Yao
Linli Yao is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Cells and Metastasis (3 papers), Colorectal Cancer Treatments and Studies (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Neurology (207 citations), Biological Psychiatry (32 citations), Endocrine and Autonomic Systems (68 citations), Immunology (192 citations) and Cancer Research (114 citations). Linli Yao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Eng‐Ang Ling, Aijun Hao, Enci Mary Kan, Charanjit Kaur, S. Thameem Dheen, Jia Lu, Shengfu Wang, Xun Zhang, Lebao Mao and Wei Wen. Their work appears in journals such as Cellular Oncology, Journal of Neuroinflammation, PLoS ONE, Journal of Clinical Oncology and International Journal of Biological Sciences.
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.