Minjun Liao

404 citations
23 papers · 285 · h-index 12

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 5
    • Hepatocellular Carcinoma Treatment and Prognosis 4

Minjun Liao

20 papers receiving 285 citations

Peers

Minjun Liao
Comparison fields: 5 of 46
  • Hepatology 66
  • Cancer Research 40
  • Oncology 43
  • Cell Biology 24
  • Immunology 26
Replace Tanuj Banker with:
Tanuj Banker United States
Motohiro Kojima Japan
Andrew Harrington United States
Zhi‐Hong Xian China
Mara Persano Italy
Yunxing Shi China
Ju A Son South Korea
Fangfang Bu China
Youpei Lin China
Liling Qin China
Minjun Liao relative to Tanuj Banker United States Tanuj Banker's profile →
Citations per field
00.5×10.1×
Tanuj Banker · 1×
Citations per year

Countries citing papers authored by Minjun Liao

Since Specialization
Citations

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

Fields of papers citing papers by Minjun Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201849
2 202330
3 202321
4 202120
5 201820
6 202217
7 202116
8 201814
9 201714
10 202311
11 201911
12 201911
13 202210
14 20249
15 20198
16 20217
17 20206
18 20244
19 20204
20 20213

About Minjun Liao

Minjun Liao is a scholar working on Oncology, Hepatology, Molecular Biology, Epidemiology and Surgery, having authored 23 papers that have together received 285 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Coenzyme Q10 studies and effects (2 papers), Hepatitis B Virus Studies (2 papers), RNA modifications and cancer (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Hepatology (66 citations), Cancer Research (40 citations), Oncology (43 citations), Cell Biology (24 citations) and Immunology (26 citations). Minjun Liao has collaborated with scholars based in China, Oman and Switzerland. Frequent co-authors include Weijia Liao, Yan Liao, Yuanping Zhou, Weiwei Luo, Chunyan Huang, Yongyuan Zhang, Wei Dang, Zhaoquan Huang, Junfei Jin and Jun Li. Their work appears in journals such as Frontiers in Oncology, Cancer Management and Research, Frontiers in Immunology, Journal of Assisted Reproduction and Genetics and Hepatology International.

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.

Explore authors with similar magnitude of impact