Xiuling Fu

498 citations
11 papers · 196 · h-index 5

Impact in

    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Pluripotent Stem Cells Research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Single-cell and spatial transcriptomics
    • Chromosomal and Genetic Variations

Papers in

    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 5
    • Genomics and Chromatin Dynamics 4
    • Epigenetics and DNA Methylation 3
    • RNA Research and Splicing 3
    • Single-cell and spatial transcriptomics 2
    • Advanced biosensing and bioanalysis techniques 1
    • Chromosomal and Genetic Variations 2

Xiuling Fu

9 papers receiving 195 citations

Peers

Xiuling Fu
Comparison fields: 5 of 48
  • Molecular Biology 168
  • Plant Science 54
  • Aging 2
  • Genetics 26
  • Cancer Research 12
Replace Gang Ma with:
Gang Ma China
Evgeniy A. Ozonov Switzerland
Raquel Garza Sweden
Elias R. Ruiz-Morales Germany
Bowen Gu China
Delphine Grün Switzerland
Maria Dvorkina United Kingdom
Eleni Gelali Sweden
André Eid France
Ruimin Xu China
Xiuling Fu relative to Gang Ma China Gang Ma's profile →
Citations per field
00.5×3.8×
Gang Ma · 1×
Citations per year

Countries citing papers authored by Xiuling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Xiuling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201894
2 201739
3 202129
4 202216
5 20179
6 20234
7 20233
8 20241
9 20191
10 20250
11 20250

About Xiuling Fu

Xiuling Fu is a scholar working on Molecular Biology, Plant Science, Computational Mechanics, Public Health, Environmental and Occupational Health and Genetics, having authored 11 papers that have together received 196 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers), Single-cell and spatial transcriptomics (2 papers), Chromosomal and Genetic Variations (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Molecular Biology (168 citations), Plant Science (54 citations), Aging (2 citations), Genetics (26 citations) and Cancer Research (12 citations). Xiuling Fu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Andrew P. Hutchins, Li Sun, Yuhao Li, Fangfang He, Gang Ma, Jiekai Chen, Miguel A. Esteban, Jiangping He, Isaac A. Babarinde and Qiang Zhuang. Their work appears in journals such as Nature Communications, Cell Regeneration, Nature Cell Biology, PLoS Biology and Cell Death Discovery.

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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