Xiaoling Li

800 citations
14 papers · 629 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • RNA Research and Splicing
    • Extracellular vesicles in disease

Papers in

    • Cancer-related molecular mechanisms research 10
    • RNA Research and Splicing 3
    • Circular RNAs in diseases 2
    • RNA modifications and cancer 2

Xiaoling Li

14 papers receiving 626 citations

Peers

Xiaoling Li
Comparison fields: 5 of 53
  • Cancer Research 425
  • Molecular Biology 413
  • Oncology 82
  • Cell Biology 42
  • Immunology 44
Replace Andrew Fesler with:
Andrew Fesler United States
Y-Y Wu China
Ali Özeş United States
Feng Miao China
Roberto Vendramin Belgium
John Lalith Charles Richard United States
Brian Quattrochi United States
Wenwei Hu China
Nicolas Léveillé Netherlands
Xiaoling Li relative to Andrew Fesler United States Andrew Fesler's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019127
2 2016125
3 201183
4 202079
5 201966
6 201849
7 201932
8 201728
9 202120
10 20206
11 20206
12 20244
13 20233
14 20251

About Xiaoling Li

Xiaoling Li is a scholar working on Cancer Research, Molecular Biology, Cell Biology, Nutrition and Dietetics and Food Science, having authored 14 papers that have together received 629 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Circular RNAs in diseases (2 papers), RNA modifications and cancer (2 papers), Pesticide and Herbicide Environmental Studies (1 paper), Pesticide Residue Analysis and Safety (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Cancer Research (425 citations), Molecular Biology (413 citations), Oncology (82 citations), Cell Biology (42 citations) and Immunology (44 citations). Xiaoling Li has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Guiyuan Li, Zhaoyang Zeng, Jian Ma, Bo Xiang, Zhaojian Gong, Qianjin Liao, Ming Zhou, Chunlin Ou, Zhenqiang Sun and Can Guo. Their work appears in journals such as Frontiers in Plant Science, Cancer Management and Research, Cell Death and Disease, Advanced Science and Brain 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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