Xiaozhou Li

1.9k citations
71 papers · 1.5k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Nephrology top 5%
    • Acute Kidney Injury Research

Papers in

    • Circular RNAs in diseases 8
    • RNA modifications and cancer 4
    • Protein Interaction Studies and Fluorescence Analysis 4
    • Data-Driven Disease Surveillance 5

Xiaozhou Li

65 papers receiving 1.5k citations

Peers

Xiaozhou Li
Comparison fields: 5 of 135
  • Cancer Research 339
  • Nephrology 145
  • Biophysics 67
  • Molecular Biology 665
  • Agronomy and Crop Science 90
Replace Mei Deng with:
Mei Deng China
Tingting Xu China
Xiaolan Guo China
Adam Platt United Kingdom
Chunyan Yang China
Yiping Wang China
Thomas W. Keenan United States
Sarath Chandra Janga United States
David Schmitt United States
Wing‐Yee Lui Hong Kong
Xiaozhou Li relative to Mei Deng China Mei Deng's profile →
Citations per field
00.5×4.3×
Mei Deng · 1×
Citations per year

Countries citing papers authored by Xiaozhou Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhou Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011110
2 202084
3 201983
4 201970
5 201967
6 201863
7 202061
8 200756
9 201554
10 201951
11 201845
12 201743
13 201936
14 200936
15 201135
16 201933
17 202032
18 202231
19 201531
20 201428

About Xiaozhou Li

Xiaozhou Li is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Genetics and Pediatrics, Perinatology and Child Health, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Circular RNAs in diseases (8 papers), Prenatal Screening and Diagnostics (8 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (7 papers), Data-Driven Disease Surveillance (5 papers), Genomic variations and chromosomal abnormalities (5 papers), RNA modifications and cancer (4 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). The work is most often cited by research in Cancer Research (339 citations), Nephrology (145 citations), Biophysics (67 citations), Molecular Biology (665 citations) and Agronomy and Crop Science (90 citations). Xiaozhou Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dongshan Zhang, Huiling Li, Jinfeng Wang, Shengjie Lai, Zhongjie Li, Jing Ji, Jian Pan, Chunfeng Guan, Xudong Xiang and Yijian Li. Their work appears in journals such as The FASEB Journal, Molecular Therapy — Nucleic Acids, International Journal of Biological Macromolecules, Theranostics and Optics Express.

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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