Fengxia Li

1.3k citations
62 papers · 923 · h-index 17

Impact in

Papers in

    • Plant tissue culture and regeneration 10
    • Plant Gene Expression Analysis 5
    • Circular RNAs in diseases 4
    • Plant Molecular Biology Research 7
    • Plant Virus Research Studies 4

Fengxia Li

57 papers receiving 905 citations

Peers

Fengxia Li
Comparison fields: 5 of 117
  • Nephrology 68
  • Molecular Biology 597
  • Endocrinology 44
  • Cancer Research 108
  • Plant Science 218
Replace Fan Zhao with:
Fan Zhao China
Yuwei Yang China
Guqi Wang Canada
Rustem Shaykhutdinov Canada
Salvatore Florio Italy
Ge Wang China
Akhtar Mahmood India
Lina Ma China
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Citations per field
00.5×
Fan Zhao · 1×
Citations per year

Countries citing papers authored by Fengxia Li

Since Specialization
Citations

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

Fields of papers citing papers by Fengxia Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019219
2 2019131
3 200654
4 201542
5 202035
6 201931
7 202130
8 200627
9
MiR181c inhibits ovarian cancer metastasis and progression by targeting PRKCD expression.
201524
10 202123
11 201922
12 201720
13 202019
14
Expression of long non-coding RNA-HOTAIR in oral squamous cell carcinoma Tca8113 cells and its associated biological behavior.
201618
15 201617
16 201517
17 201916
18 201115
19 202013
20 202212

About Fengxia Li

Fengxia Li is a scholar working on Molecular Biology, Plant Science, Immunology, Genetics and Endocrinology, having authored 62 papers that have together received 923 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (10 papers), Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (5 papers), Aquaculture disease management and microbiota (5 papers), Plant Virus Research Studies (4 papers), Circular RNAs in diseases (4 papers), Vibrio bacteria research studies (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Nephrology (68 citations), Molecular Biology (597 citations), Endocrinology (44 citations), Cancer Research (108 citations) and Plant Science (218 citations). Fengxia Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Meihong Wang, Rongshan Li, Yaqiong Zhang, Aiguo Yang, Chunxiang Fu, Yuanying Wang, Yiting Li, Zhenying Wu, Daiwen Chen and Fengyan Wu. Their work appears in journals such as Scientific Reports, Plant Cell Reports, Plant Physiology and Biochemistry, Cell Death Discovery and Planta.

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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