Wanling Yang
Impact in
- Immunology top 2%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research
Papers in
- Immunology 36
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 10
- Atherosclerosis and Cardiovascular Diseases 9
- Co-authors
- YL Lau (44 shared papers)Pak C. Sham (12 shared papers)Nan Shen (5 shared papers)Nattiya Hirankarn (8 shared papers)Pamela Lee (11 shared papers)Yan Zhang (8 shared papers)Yuanjia Tang (3 shared papers)Yongfei Wang (16 shared papers)
- Journals
- Human Immunology (6 papers)Human Molecular Genetics (5 papers)Bioinformatics (4 papers)Frontiers in Genetics (4 papers)Frontiers in Immunology (4 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Wanling Yang
142 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 142
- Immunology 1.1k
- Rheumatology 657
- Cancer Research 419
- Genetics 640
- Genetics 156
Countries citing papers authored by Wanling Yang
This map shows the geographic impact of Wanling Yang'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 Wanling Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanling Yang more than expected).
Fields of papers citing papers by Wanling Yang
This network shows the impact of papers produced by Wanling Yang. 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 Wanling Yang. The network helps show where Wanling Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanling Yang, 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 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 257 | |
| 2 | 2016 | 236 | |
| 3 | 2011 | 227 | |
| 4 | 2008 | 196 | |
| 5 | 2010 | 153 | |
| 6 | 2010 | 104 | |
| 7 | 2013 | 102 | |
| 8 | 2009 | 92 | |
| 9 | 2008 | 91 | |
| 10 | 2017 | 88 | |
| 11 | 2018 | 74 | |
| 12 | 2009 | 71 | |
| 13 | 2023 | 70 | |
| 14 | 2015 | 70 | |
| 15 | 2009 | 68 | |
| 16 | 2020 | 62 | |
| 17 | 2012 | 62 | |
| 18 | 2018 | 62 | |
| 19 | 2015 | 60 | |
| 20 | 2009 | 57 |
About Wanling Yang
Wanling Yang is a scholar working on Molecular Biology, Immunology, Rheumatology, Genetics and Plant Science, having authored 146 papers that have together received 3.8k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (27 papers), T-cell and B-cell Immunology (16 papers), Genomics and Rare Diseases (12 papers), Immune Cell Function and Interaction (10 papers), Genetic Associations and Epidemiology (9 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Fish Ecology and Management Studies (8 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (7 papers). The work is most often cited by research in Immunology (1.1k citations), Rheumatology (657 citations), Cancer Research (419 citations), Genetics (640 citations) and Genetics (156 citations). Wanling Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include YL Lau, Pak C. Sham, Nan Shen, Nattiya Hirankarn, Pamela Lee, Yan Zhang, Yuanjia Tang, Yongfei Wang, Paul Lyons and Lisa Willcocks. Their work appears in journals such as Human Immunology, Human Molecular Genetics, Bioinformatics, Frontiers in Genetics and Frontiers in 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.