Yee Ling Wu
Impact in
- Immunology top 5%
- Complement system in diseases
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
- Nephrology 11
- Renal Diseases and Glomerulopathies 11
- Immunology 21
- Complement system in diseases 13
- Immunodeficiency and Autoimmune Disorders 5
- T-cell and B-cell Immunology 5
- Co-authors
- C. Yung YuCristina RadaBen TaylorYan YangBi ZhouMichael S. NeubergerSerena Nik‐ZainalLucy Stebbings
- Journals
- Molecular Immunology (4 papers)Frontiers in Immunology (3 papers)The Journal of Immunology (2 papers)eLife (2 papers)Current Protocols in Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomHong Kong
In The Last Decade
Yee Ling Wu
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Immunology 529
- Nephrology 149
- Rheumatology 270
- Hematology 126
- Virology 48
Countries citing papers authored by Yee Ling Wu
This map shows the geographic impact of Yee Ling Wu'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 Yee Ling Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yee Ling Wu more than expected).
Fields of papers citing papers by Yee Ling Wu
This network shows the impact of papers produced by Yee Ling Wu. 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 Yee Ling Wu. The network helps show where Yee Ling Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yee Ling Wu, 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 | 2025 | 7 | |
| 2 | 2022 | 76 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 16 | |
| 6 | 2019 | 19 | |
| 7 | 2016 | 128 | |
| 8 | 2016 | 45 | |
| 9 | 2015 | 33 | |
| 10 | 2011 | 7 | |
| 11 | 2011 | 14 | |
| 12 | 2011 | 31 | |
| 13 | 2010 | 24 | |
| 14 | 2010 | 8 | |
| 15 | 2009 | 33 | |
| 16 | 2009 | 38 | |
| 17 | 2008 | 48 | |
| 18 | 2007 | 67 | |
| 19 | 2006 | 0 | |
| 20 | 2005 | 28 |
About Yee Ling Wu
Yee Ling Wu is a scholar working on Nephrology, Immunology, Hematology, Rheumatology and Genetics, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complement system in diseases (13 papers), Renal Diseases and Glomerulopathies (11 papers), Systemic Lupus Erythematosus Research (10 papers), Blood groups and transfusion (8 papers), Immunodeficiency and Autoimmune Disorders (5 papers), T-cell and B-cell Immunology (5 papers), Genomic variations and chromosomal abnormalities (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Immunology (529 citations), Nephrology (149 citations), Rheumatology (270 citations), Hematology (126 citations) and Virology (48 citations). Yee Ling Wu has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include C. Yung Yu, Cristina Rada, Ben Taylor, Yan Yang, Bi Zhou, Michael S. Neuberger, Serena Nik‐Zainal, Lucy Stebbings, Peter J. Campbell and Keiran Raine. Their work appears in journals such as Molecular Immunology, Frontiers in Immunology, The Journal of Immunology, eLife and Current Protocols 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.