Linlin Wan
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Psoriasis: Treatment and Pathogenesis
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- Genetic Neurodegenerative Diseases 12
-
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 2
- Co-authors
- Xue Yang (1 shared paper)Xin‐Rong Yang (1 shared paper)Yiwei Chu (1 shared paper)Lubing Zhu (1 shared paper)Ji Yang (1 shared paper)Di Gao (1 shared paper)Ming Li (1 shared paper)Yang Ji (2 shared papers)
- Journals
- Movement Disorders (4 papers)Gene (2 papers)Journal of Neurology (2 papers)Journal of Thoracic Imaging (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Linlin Wan
34 papers receiving 719 citations
Linlin Wan's Hit Papers
Peers
Comparison fields: 5 of 73
- Immunology 291
- Rheumatology 193
- Pathology and Forensic Medicine 122
- Neurology 74
- Dermatology 44
Countries citing papers authored by Linlin Wan
This map shows the geographic impact of Linlin Wan'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 Linlin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linlin Wan more than expected).
Fields of papers citing papers by Linlin Wan
This network shows the impact of papers produced by Linlin Wan. 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 Linlin Wan. The network helps show where Linlin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Linlin Wan, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Th17 and natural Treg cell population dynamics in systemic lupus erythematosus Hit paper breakdown → | 2009 | 394 |
| 2 | 2014 | 117 | |
| 3 | 2019 | 37 | |
| 4 | 2020 | 25 | |
| 5 | 2024 | 16 | |
| 6 | 2018 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 1994 | 4 | |
| 20 | 2023 | 4 |
About Linlin Wan
Linlin Wan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine, having authored 38 papers that have together received 732 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (12 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Cardiovascular Function and Risk Factors (5 papers), Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (2 papers), Neurological diseases and metabolism (2 papers), Systemic Sclerosis and Related Diseases (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Immunology (291 citations), Rheumatology (193 citations), Pathology and Forensic Medicine (122 citations), Neurology (74 citations) and Dermatology (44 citations). Linlin Wan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xue Yang, Xin‐Rong Yang, Yiwei Chu, Lubing Zhu, Ji Yang, Di Gao, Ming Li, Yang Ji, Ming Li and Xiaojing Xing. Their work appears in journals such as Movement Disorders, Gene, Journal of Neurology, Journal of Thoracic Imaging and Frontiers in Neuroscience.
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.