Lai-Ping Wong

544 citations
14 papers · 385 · h-index 9

Impact in

    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
    • Forensic and Genetic Research
    • Immunotherapy and Immune Responses

Papers in

    • Autoimmune and Inflammatory Disorders Research 5
    • Genetic Associations and Epidemiology 4
    • Genomics and Rare Diseases 2

Lai-Ping Wong

14 papers receiving 382 citations

Peers

Lai-Ping Wong
Comparison fields: 5 of 69
  • Genetics 142
  • Immunology 80
  • Hematology 38
  • Cancer Research 32
  • Oncology 54
Replace Christina Kober with:
Christina Kober Germany
Katrin Faber Germany
Shiro Aizawa Japan
Kate Duffus United Kingdom
Yihan Xu China
S F Tsai United States
Sarah M. Bushmeyer United States
Yea-Lih Lin France
Bei Cai China
Alba Garrido-Trigo Spain
Lai-Ping Wong relative to Christina Kober Germany Christina Kober's profile →
Citations per field
00.5×2×3.2×
Christina Kober · 1×
Citations per year

Countries citing papers authored by Lai-Ping Wong

Since Specialization
Citations

This map shows the geographic impact of Lai-Ping Wong'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 Lai-Ping Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai-Ping Wong more than expected).

Fields of papers citing papers by Lai-Ping Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai-Ping Wong. 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 Lai-Ping Wong. The network helps show where Lai-Ping Wong may publish in the future.

Co-authors

The 25 scholars most cited alongside Lai-Ping Wong, 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 Lai-Ping Wong Line = papers co-authored together Lai-Ping Wong links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2013143
2 201972
3 201739
4 201438
5 201620
6 201820
7 201615
8 201712
9 20179
10 20137
11 20133
12 20163
13 20183
14 20141

About Lai-Ping Wong

Lai-Ping Wong is a scholar working on Hematology, Genetics, Cancer Research, Pathology and Forensic Medicine and Immunology, having authored 14 papers that have together received 385 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (5 papers), Genetic Associations and Epidemiology (4 papers), Lymphoma Diagnosis and Treatment (2 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (1 paper), Genomics and Phylogenetic Studies (1 paper), Gene expression and cancer classification (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Genetics (142 citations), Immunology (80 citations), Hematology (38 citations), Cancer Research (32 citations) and Oncology (54 citations). Lai-Ping Wong has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Kaiyu Jiang, Yanmin Chen, James N. Jarvis, Carol A. Wallace, Teresa Hennon, Anthony Youzhi Cheng, Rick Twee‐Hee Ong, Wenting Xu, Woei‐Yuh Saw and Jason Kuan Han Lai. Their work appears in journals such as Arthritis Research & Therapy, Scientific Reports, Journal for ImmunoTherapy of Cancer, Pharmacogenetics and Genomics and Pediatric Rheumatology.

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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