Lining Wang
Impact in
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- Gut microbiota and health
- Bone Metabolism and Diseases
- Extracellular vesicles in disease
Papers in
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- Bone Metabolism and Diseases 15
- Immunology 12
- Immune cells in cancer 7
- Immune Response and Inflammation 4
- Co-authors
- Yalan Pan (22 shared papers)Yong Ma (16 shared papers)Dandan He (1 shared paper)Jia Yuan (1 shared paper)Zhizhong Liu (1 shared paper)Xiaofeng Liu (1 shared paper)Chao Li (1 shared paper)Xian Zhang (1 shared paper)
- Journals
- Frontiers in Endocrinology (3 papers)Pharmaceutical Biology (2 papers)Journal of Visualized Experiments (2 papers)Frontiers in Oncology (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lining Wang
51 papers receiving 778 citations
Lining Wang's Hit Papers
Peers
Comparison fields: 5 of 110
- Biological Psychiatry 16
- Molecular Biology 436
- Immunology 122
- Endocrinology 26
- Orthopedics and Sports Medicine 38
Countries citing papers authored by Lining Wang
This map shows the geographic impact of Lining Wang'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 Lining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lining Wang more than expected).
Fields of papers citing papers by Lining Wang
This network shows the impact of papers produced by Lining Wang. 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 Lining Wang. The network helps show where Lining Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lining Wang, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Regulation of short-chain fatty acids in the immune system Hit paper breakdown → | 2023 | 178 |
| 2 | 2019 | 59 | |
| 3 | 2019 | 44 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 31 | |
| 6 | 2024 | 30 | |
| 7 | 2019 | 29 | |
| 8 | 2016 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2023 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2022 | 24 | |
| 13 | 2024 | 24 | |
| 14 | 2020 | 21 | |
| 15 | 2023 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2012 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2024 | 11 |
About Lining Wang
Lining Wang is a scholar working on Molecular Biology, Immunology, Rheumatology, Cancer Research and Pathology and Forensic Medicine, having authored 54 papers that have together received 785 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Immune cells in cancer (7 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune Response and Inflammation (4 papers), MicroRNA in disease regulation (4 papers), Bone health and treatments (4 papers) and Spinal Cord Injury Research (4 papers). The work is most often cited by research in Biological Psychiatry (16 citations), Molecular Biology (436 citations), Immunology (122 citations), Endocrinology (26 citations) and Orthopedics and Sports Medicine (38 citations). Lining Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yalan Pan, Yong Ma, Dandan He, Jia Yuan, Zhizhong Liu, Xiaofeng Liu, Chao Li, Xian Zhang, E Sun and Kangkang Liu. Their work appears in journals such as Frontiers in Endocrinology, Pharmaceutical Biology, Journal of Visualized Experiments, Frontiers in Oncology and Journal of Cellular and Molecular 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.