Chan Liao

615 citations
29 papers · 416 · h-index 10

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
    • Immune Cell Function and Interaction

Papers in

Chan Liao

24 papers receiving 409 citations

Peers

Chan Liao
Comparison fields: 5 of 60
  • Hematology 137
  • Immunology 153
  • Oncology 164
  • Infectious Diseases 80
  • Speech and Hearing 23
Replace Weiqun Xu with:
Weiqun Xu China
Revathi Raj India
Binhua Pan China
Carine Domenech France
Marie Balsat France
Theresa Cole Australia
Srdjan Pasic Serbia
Heung Sik Kim South Korea
AJ Cant United Kingdom
Hilary Haines United States
Chan Liao relative to Weiqun Xu China Weiqun Xu's profile →
Citations per field
00.5×1.5×
Weiqun Xu · 1×
Citations per year

Countries citing papers authored by Chan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Liao. 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 Chan Liao. The network helps show where Chan Liao may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008139
2 202150
3 201241
4 201134
5 201125
6 201321
7 202321
8 201020
9 202311
10 202310
11 20218
12 20196
13 20205
14 20205
15 20235
16 20234
17 20232
18 20182
19 20142
20 20241

About Chan Liao

Chan Liao is a scholar working on Public Health, Environmental and Occupational Health, Oncology, Hematology, Epidemiology and Molecular Biology, having authored 29 papers that have together received 416 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (9 papers), CAR-T cell therapy research (6 papers), Acute Myeloid Leukemia Research (5 papers), Hematological disorders and diagnostics (5 papers), Sepsis Diagnosis and Treatment (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Neonatal and Maternal Infections (3 papers). The work is most often cited by research in Hematology (137 citations), Immunology (153 citations), Oncology (164 citations), Infectious Diseases (80 citations) and Speech and Hearing (23 citations). Chan Liao has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Xiaojun Xu, Hua Song, Shilong Yang, Shuwen Shi, Yongmin Tang, Yongmin Tang, Fenying Zhao, Binhua Pan, Weiqun Xu and Yanjie Huang. Their work appears in journals such as Cytokine, British Journal of Haematology, Clinical Microbiology and Infection, Cancer Biomarkers and Journal of Pediatric Hematology/Oncology.

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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