Xiaobin Liu

1.8k citations
74 papers · 1.3k · h-index 20

Impact in

Papers in

    • Redox biology and oxidative stress 5
    • PI3K/AKT/mTOR signaling in cancer 5
    • RNA modifications and cancer 4
    • Statistical Methods and Bayesian Inference 6
    • Statistical Methods and Inference 4
    • Statistical Methods in Clinical Trials 4

Xiaobin Liu

70 papers receiving 1.3k citations

Peers

Xiaobin Liu
Comparison fields: 5 of 145
  • Cancer Research 154
  • Health, Toxicology and Mutagenesis 131
  • Molecular Biology 539
  • Pathology and Forensic Medicine 113
  • Dermatology 54
Replace Qihong Zhao with:
Qihong Zhao China
Soo Jin Park South Korea
Yuqin Liu China
Linfu Zhou China
Rolf Larsson Sweden
Jianjun Liu China
Nancy Lan Guo United States
Dihua Li China
Zhaofeng Liang China
Yan Guo China
Xiaobin Liu relative to Qihong Zhao China Qihong Zhao's profile →
Citations per field
00.5×6.8×
Qihong Zhao · 1×
Citations per year

Countries citing papers authored by Xiaobin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 200798
3 201493
4 200567
5 201567
6 200755
7 201948
8 201746
9 201545
10 201741
11 201934
12 201231
13 201731
14 201630
15 201828
16 200828
17 201826
18 200725
19 201824
20 201721

About Xiaobin Liu

Xiaobin Liu is a scholar working on Molecular Biology, Statistics and Probability, Cancer Research, Health, Toxicology and Mutagenesis and Immunology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (6 papers), Redox biology and oxidative stress (5 papers), Air Quality and Health Impacts (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Statistical Methods and Inference (4 papers) and Statistical Methods in Clinical Trials (4 papers). The work is most often cited by research in Cancer Research (154 citations), Health, Toxicology and Mutagenesis (131 citations), Molecular Biology (539 citations), Pathology and Forensic Medicine (113 citations) and Dermatology (54 citations). Xiaobin Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mariusz A. Wasik, Hongli Wu, Ke Zu, Min Liu, Zhicheng Dong, Qian Zhang, Hong Y. Wang, Julie E. Goodman, Michał Marzec and Christine T. Loftus. Their work appears in journals such as PLoS ONE, Investigative Ophthalmology & Visual Science, Technology in Cancer Research & Treatment, Environment International and Journal of Econometrics.

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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