Yu-Min Liao

742 citations
15 papers · 539 indexed · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Yu-Min Liao

15 papers receiving 533 citations

Peers

Yu-Min Liao
Comparison fields: 5 of 67
  • Hepatology 221
  • Epidemiology 239
  • Hematology 60
  • Oncology 143
  • Anesthesiology and Pain Medicine 21
Replace Amleto Fiocchi with:
Amleto Fiocchi Italy
Jonathan Israel United States
Chohee Yun United States
Rita Lepe United States
Mei Liu China
MY Hsieh Taiwan
Akihide Masumoto Japan
Yukio KUSUMOTO Japan
Go Sekimoto Japan
Mengde Cao United States
Yu-Min Liao relative to Amleto Fiocchi Italy Amleto Fiocchi's profile →
Citations per field
00.5×1.5×
Amleto Fiocchi · 1×
Citations per year

Countries citing papers authored by Yu-Min Liao

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Min Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 201822
2 201825
3 201722
4 201413
5 201411
6 201325
7 20134
8 201210
9 201234
10 201127
11 201110
12 201196
13 20105
14 2008230
15 20085

About Yu-Min Liao

Yu-Min Liao is a scholar working on Anesthesiology and Pain Medicine, Toxicology, Genetics, Hematology and Hepatology, having authored 15 papers that have together received 539 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Cancer-related Molecular Pathways (2 papers), Hepatitis C virus research (2 papers), Bioactive Compounds and Antitumor Agents (1 paper), Acute Myeloid Leukemia Research (1 paper), Synthesis of Indole Derivatives (1 paper) and Pain Management and Opioid Use (1 paper). The work is most often cited by research in Hepatology (221 citations), Epidemiology (239 citations), Hematology (60 citations), Oncology (143 citations) and Anesthesiology and Pain Medicine (21 citations). Yu-Min Liao has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Chung-Tsen Hsueh, Yuan Yuan, Hamid Mirshahidi, Pei‐Jer Chen, Wei-Shou Hwang, Ming-Chung Wang, Tsu-Yi Chao, Sheng-Fung Lin, Hwei‐Fang Tien and Hui-Hua Hsiao. Their work appears in journals such as Hormones and Cancer, Leukemia Research, Journal of Hematology & Oncology, Journal of Pain and Symptom Management and Head & Neck 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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