Dabin Liu

2.7k citations
55 papers · 1.9k · h-index 22

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • Gut microbiota and health

Papers in

Dabin Liu

53 papers receiving 1.9k citations

Peers

Dabin Liu
Comparison fields: 5 of 130
  • Cancer Research 527
  • Molecular Biology 882
  • Microbiology 60
  • Epidemiology 264
  • Immunology 164
Replace Tianyu Zhong with:
Tianyu Zhong China
Michael Zhuo Wang United States
Anmei Deng China
Ge Zhou United States
Jianfeng Chen China
Ziwen Zhu China
Jinbo Liu China
László Farkas United States
Qian Qiu China
Dabin Liu relative to Tianyu Zhong China Tianyu Zhong's profile →
Citations per field
00.5×1.6×
Tianyu Zhong · 1×
Citations per year

Countries citing papers authored by Dabin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dabin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020232
2 2018213
3 2020142
4 2016132
5 2017113
6 2022108
7 2020105
8 202084
9 202263
10 201957
11 201457
12 202156
13 201854
14 202151
15 202150
16 201640
17 202438
18 201437
19 201631
20 202428

About Dabin Liu

Dabin Liu is a scholar working on Molecular Biology, Mechanics of Materials, Epidemiology, Cancer Research and Materials Chemistry, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Energetic Materials and Combustion (10 papers), Combustion and Detonation Processes (7 papers), Thermal and Kinetic Analysis (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cervical Cancer and HPV Research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (527 citations), Molecular Biology (882 citations), Microbiology (60 citations), Epidemiology (264 citations) and Immunology (164 citations). Dabin Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jun Yu, Huarong Chen, Joseph J.�Y. Sung, Chi Chun Wong, Chuangen Li, Nathalie Wong, Wei Kang, Yunfei Zhou, Weiqi Xu and Li Fu. Their work appears in journals such as Oncogene, Scientific Reports, Gastroenterology, Journal of Hepatology and Journal of Loss Prevention in the Process Industries.

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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