Xiaoning Li

971 citations
38 papers · 721 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer
    • Phytochemical compounds biological activities

Papers in

    • RNA modifications and cancer 4
    • Advanced biosensing and bioanalysis techniques 3
    • Extracellular vesicles in disease 3
    • Natural product bioactivities and synthesis 2
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 3
    • Cancer, Lipids, and Metabolism 2

Xiaoning Li

37 papers receiving 714 citations

Peers

Xiaoning Li
Comparison fields: 5 of 99
  • Cancer Research 146
  • Molecular Biology 497
  • Toxicology 12
  • Biochemistry 23
  • Immunology 64
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Xiaoran Yin China
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Tian Xia China
Mehdi Sabzichi Iran
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Xiaoning Li relative to Xiaoran Yin China Xiaoran Yin's profile →
Citations per field
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Xiaoran Yin · 1×
Citations per year

Countries citing papers authored by Xiaoning Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoning Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201755
3 201449
4 201840
5 201237
6 201532
7 201432
8 201031
9 202229
10 201123
11 202122
12 201821
13 201621
14 201121
15 202220
16 202218
17 202218
18 202015
19 202315
20 202314

About Xiaoning Li

Xiaoning Li is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Plant Science and Pharmacology, having authored 38 papers that have together received 721 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (3 papers), Extracellular vesicles in disease (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Cancer Research (146 citations), Molecular Biology (497 citations), Toxicology (12 citations), Biochemistry (23 citations) and Immunology (64 citations). Xiaoning Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Youngdo Jeong, Vincent M. Rotello, Fang Wen, Xinrong Zhang, Brian Creran, Qianwen Zhang, Xiang‐Hai Cai, Tao Feng, Xiao‐Dong Luo and Jianhui Cai. Their work appears in journals such as Journal of Natural Products, International Journal of COPD, Clinical Cancer Research, Journal of Cellular Biochemistry and Phytotherapy Research.

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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