Xiaoyan Li

2.3k citations
88 papers · 1.6k · h-index 26

Impact in

Papers in

    • Circular RNAs in diseases 9
    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Bacterial biofilms and quorum sensing 4
    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 14

Xiaoyan Li

84 papers receiving 1.6k citations

Peers

Xiaoyan Li
Comparison fields: 5 of 105
  • Cancer Research 577
  • Molecular Medicine 125
  • Endocrinology 83
  • Developmental Neuroscience 62
  • Molecular Biology 779
Replace Stuart D. Tyner with:
Stuart D. Tyner United States
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Weijun Chen China
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Xiaoyan Li relative to Stuart D. Tyner United States Stuart D. Tyner's profile →
Citations per field
00.5×5.6×
Stuart D. Tyner · 1×
Citations per year

Countries citing papers authored by Xiaoyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012132
2 200997
3 201776
4 201873
5 202258
6 200251
7 201349
8 201346
9 201944
10 201640
11 201939
12 201239
13 201038
14 202036
15 202136
16 202036
17 202036
18 202135
19 201834
20 201730

About Xiaoyan Li

Xiaoyan Li is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Molecular Medicine and Food Science, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (14 papers), Antibiotic Resistance in Bacteria (10 papers), Circular RNAs in diseases (9 papers), Salmonella and Campylobacter epidemiology (8 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers) and Bacterial biofilms and quorum sensing (4 papers). The work is most often cited by research in Cancer Research (577 citations), Molecular Medicine (125 citations), Endocrinology (83 citations), Developmental Neuroscience (62 citations) and Molecular Biology (779 citations). Xiaoyan Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Meghan Morgan-Smith, William D. Snider, Yaohong Wu, Jason M. Newbern, Jian Zhong, Jean Charron, Ping Hu, Lu Han, Haitao Tao and Xiankai Chen. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Oncotarget, Biochemical and Biophysical Research Communications, BMC Infectious Diseases and Scientific Reports.

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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