Xiuling Fu

517 citations
11 papers · 206 · h-index 6

Impact in

    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • 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 5
    • Genomics and Chromatin Dynamics 4
    • CRISPR and Genetic Engineering 4
    • Epigenetics and DNA Methylation 3
    • RNA Research and Splicing 3
    • Single-cell and spatial transcriptomics 2
    • Chromosomal and Genetic Variations 2

Xiuling Fu

10 papers receiving 205 citations

Peers

Xiuling Fu
Comparison fields: 5 of 46
  • Molecular Biology 166
  • Plant Science 55
  • Aging 2
  • Cancer Research 11
  • Developmental Neuroscience 3
Replace Gang Ma with:
Gang Ma China
Elias R. Ruiz-Morales Germany
Evgeniy A. Ozonov Switzerland
Delphine Grün Switzerland
Ludovica Mercuri Italy
Eleni Gelali Sweden
Christine E. Cucinotta United States
Junhua Lyu United States
Corinne Simonti United States
Solenne Dumont France
Xiuling Fu relative to Gang Ma China Gang Ma's profile →
Citations per field
00.5×3.3×
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 201897
2 201740
3 202130
4 202217
5 20179
6 20236
7 20234
8 20241
9 20191
10 20251
11 20250

About Xiuling Fu

Xiuling Fu is a scholar working on Molecular Biology, Plant Science, Public Health, Environmental and Occupational Health, Genetics and Infectious Diseases, having authored 11 papers that have together received 206 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (2 papers), Single-cell and spatial transcriptomics (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Molecular Biology (166 citations), Plant Science (55 citations), Aging (2 citations), Cancer Research (11 citations) and Developmental Neuroscience (3 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, Jiekai Chen, Gang Ma, Jiangping He, Miguel A. Esteban, Isaac A. Babarinde and Qiang Zhuang. Their work appears in journals such as Nature Communications, Cell Death Discovery, Bioinformatics, Cell Regeneration and Nature Cell Biology.

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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