Lingli Yan
Impact in
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- Tryptophan and brain disorders
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- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Glycosylation and Glycoproteins Research 2
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- Alzheimer's disease research and treatments 5
- Co-authors
- Ming Zhou (1 shared paper)Huanxing Su (10 shared papers)Jianmei Gao (2 shared papers)Qihai Gong (3 shared papers)Yuangui Liu (2 shared papers)Yuanyuan Deng (2 shared papers)Senthil Kumaran Satyanarayanan (5 shared papers)Haibo Cai (2 shared papers)
In The Last Decade
Lingli Yan
18 papers receiving 443 citations
Peers
Comparison fields: 5 of 78
- Biological Psychiatry 24
- Neurology 55
- Oncology 94
- Immunology 66
- Physiology 81
Countries citing papers authored by Lingli Yan
This map shows the geographic impact of Lingli Yan'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 Lingli Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli Yan more than expected).
Fields of papers citing papers by Lingli Yan
This network shows the impact of papers produced by Lingli Yan. 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 Lingli Yan. The network helps show where Lingli Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingli Yan, 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 | Target selection of CAR T cell therapy in accordance with the TME for solid tumors. | 2019 | 68 |
| 2 | 2008 | 53 | |
| 3 | 2018 | 53 | |
| 4 | 2019 | 44 | |
| 5 | 2017 | 42 | |
| 6 | 2023 | 30 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2021 | 19 | |
| 11 | 2018 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2023 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | [Effect of hepatocyte-like cells induced by CD34+ cells in vitro on the repair of injured hepatic tissues of mice in vivo]. | 2009 | 2 |
| 19 | 2024 | 0 |
About Lingli Yan
Lingli Yan is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Neurology and Oncology, having authored 19 papers that have together received 448 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Trace Elements in Health (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Neurology (55 citations), Oncology (94 citations), Immunology (66 citations) and Physiology (81 citations). Lingli Yan has collaborated with scholars based in China, Macao and Taiwan. Frequent co-authors include Ming Zhou, Huanxing Su, Jianmei Gao, Qihai Gong, Yuangui Liu, Yuanyuan Deng, Senthil Kumaran Satyanarayanan, Haibo Cai, Yang Shi and Xiaoli Yao. Their work appears in journals such as Brain Behavior and Immunity, Frontiers in Pharmacology, OncoTargets and Therapy, Advanced Materials and Cell & Bioscience.
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.