Wanling Yang
- Immunology top 2%
- T-cell and B-cell Immunology 19
- Immune Cell Function and Interaction 17
- Atherosclerosis and Cardiovascular Diseases 12
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research 31
- Cancer Research top 5%
- Genetics top 5%
- Genomics and Rare Diseases 14
- Genetic Associations and Epidemiology 10
- Genomic variations and chromosomal abnormalities 8
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 8
- Co-authors
- YL LauPak C. ShamPamela LeeNan ShenNattiya HirankarnYan ZhangYuanjia TangKenneth G. C. Smith
- Journals
- Human Immunology (6 papers)Human Molecular Genetics (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Wanling Yang
143 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 148
- Immunology 1.3k
- Rheumatology 673
- Cancer Research 500
- Genetics 702
- Molecular Biology 1.2k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 62 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 4 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 57 | |
| 12 | Multilocus sequence typing and variations in the oprD gene of Pseudomonas aeruginosa isolated from a hospital in China | 2018 | 1 |
| 13 | 2018 | 5 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 7 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 8 | |
| 18 | 2011 | 213 | |
| 19 | 2010 | 141 | |
| 20 | 2008 | 183 |
About Wanling Yang
Wanling Yang is a scholar working on Rheumatology, Immunology, Genetics, Biochemistry and Transplantation, having authored 146 papers that have together received 3.6k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (31 papers), T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (17 papers), Genomics and Rare Diseases (14 papers), Atherosclerosis and Cardiovascular Diseases (12 papers), Genetic Associations and Epidemiology (10 papers), Genomic variations and chromosomal abnormalities (8 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Immunology (1.3k citations), Rheumatology (673 citations), Cancer Research (500 citations), Genetics (702 citations) and Molecular Biology (1.2k citations). Wanling Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include YL Lau, Pak C. Sham, Pamela Lee, Nan Shen, Nattiya Hirankarn, Yan Zhang, Yuanjia Tang, Kenneth G. C. Smith, Lisa Willcocks and Paul Lyons. Their work appears in journals such as Human Immunology, Human Molecular Genetics, Scientific Reports, Frontiers in Immunology and Genes and Immunity.
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.