Lanlan Wang
Impact in
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- Wound Healing and Treatments
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- Mesenchymal stem cell research
Papers in
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- Heme Oxygenase-1 and Carbon Monoxide 2
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- Systemic Lupus Erythematosus Research 3
- Co-authors
- Yongkang Wu (6 shared papers)Carla C. Baan (3 shared papers)Yunying Shi (3 shared papers)Bei Cai (5 shared papers)Lin Yan (2 shared papers)Jiangtao Tang (1 shared paper)Yangjuan Bai (1 shared paper)Yao Chen (1 shared paper)
- Journals
- Medicine (2 papers)Journal of Clinical Laboratory Analysis (2 papers)Biochemistry and Cell Biology (1 paper)Gene (1 paper)Clinical and Vaccine Immunology (1 paper)
- Partner nations
- ChinaNetherlandsAustralia
In The Last Decade
Lanlan Wang
32 papers receiving 352 citations
Peers
Comparison fields: 5 of 82
- Rehabilitation 28
- Genetics 34
- Transplantation 7
- Rheumatology 38
- Otorhinolaryngology 10
Countries citing papers authored by Lanlan Wang
This map shows the geographic impact of Lanlan 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 Lanlan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lanlan Wang more than expected).
Fields of papers citing papers by Lanlan Wang
This network shows the impact of papers produced by Lanlan 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 Lanlan Wang. The network helps show where Lanlan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lanlan 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2011 | 45 | |
| 3 | 2017 | 44 | |
| 4 | 2019 | 32 | |
| 5 | 2016 | 26 | |
| 6 | 2017 | 24 | |
| 7 | Double positive CD4+CD8+ T cells: key suppressive role in the production of autoantibodies in systemic lupus erythematosus. | 2014 | 18 |
| 8 | 2015 | 16 | |
| 9 | 2015 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2011 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2016 | 7 | |
| 14 | 2015 | 5 | |
| 15 | 2025 | 5 | |
| 16 | 2012 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2016 | 4 | |
| 19 | 2024 | 3 | |
| 20 | [Promising diagnostic model for systemic lupus erythematosus using proteomic fingerprint technology]. | 2009 | 3 |
About Lanlan Wang
Lanlan Wang is a scholar working on Molecular Biology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Immunology and Obstetrics and Gynecology, having authored 34 papers that have together received 354 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Hepatitis C virus research (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Rehabilitation (28 citations), Genetics (34 citations), Transplantation (7 citations), Rheumatology (38 citations) and Otorhinolaryngology (10 citations). Lanlan Wang has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Yongkang Wu, Carla C. Baan, Yunying Shi, Bei Cai, Lin Yan, Jiangtao Tang, Yangjuan Bai, Yao Chen, Yuangao Zou and Nicole M. van Besouw. Their work appears in journals such as Medicine, Journal of Clinical Laboratory Analysis, Biochemistry and Cell Biology, Gene and Clinical and Vaccine Immunology.
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.