Yee Ling Wu

2.5k citations
27 papers · 1.0k indexed · h-index 17

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

    • Renal Diseases and Glomerulopathies 11
    • Complement system in diseases 13
    • Immunodeficiency and Autoimmune Disorders 5
    • T-cell and B-cell Immunology 5

Yee Ling Wu

26 papers receiving 1.0k citations

Peers

Yee Ling Wu
Comparison fields: 5 of 70
  • Immunology 529
  • Nephrology 149
  • Rheumatology 270
  • Hematology 126
  • Virology 48
Replace Naoko Nakano with:
Naoko Nakano Japan
Barbara J. Vilen United States
Christian Kneitz Germany
Ann‐Christine Syvänen Sweden
Susan A. Boackle United States
Kristy O’Donnell Australia
Paula Sandrin‐Garcia Brazil
Nigel Rust United Kingdom
William A. Figgett Australia
Yoshikata Misaki Japan
Yee Ling Wu relative to Naoko Nakano Japan Naoko Nakano's profile →
Citations per field
00.5×3.0×
Naoko Nakano · 1×
Citations per year

Countries citing papers authored by Yee Ling Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yee Ling Wu Line = papers co-authored together Yee Ling Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 202276
3 202128
4 202110
5 202116
6 201919
7 2016128
8 201645
9 201533
10 20117
11 201114
12 201131
13 201024
14 20108
15 200933
16 200938
17 200848
18 200767
19 20060
20 200528

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.

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