Xiuling Fu

474 citations
14 papers · 334 · h-index 8

Impact in

    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Developmental Biology and Gene Regulation
    • Single-cell and spatial transcriptomics

Papers in

    • Pluripotent Stem Cells Research 8
    • Epigenetics and DNA Methylation 3
    • Single-cell and spatial transcriptomics 3
    • Developmental Biology and Gene Regulation 2
    • Genomics and Chromatin Dynamics 2
    • Chromosomal and Genetic Variations 3

Xiuling Fu

14 papers receiving 334 citations

Peers

Xiuling Fu
Comparison fields: 5 of 35
  • Molecular Biology 238
  • Aging 4
  • Developmental Neuroscience 6
  • Plant Science 73
  • Cancer Research 13
Replace Phillip Wulfridge with:
Phillip Wulfridge United States
Jinping Jia United States
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Kaiyue Ma United States
Kai Xiong Denmark
Dennis Sadic Germany
Tawny N. Cuykendall United States
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Citations per field
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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

14 of 14 papers shown
#Work
1 2018105
2 201858
3 201748
4 202133
5 202128
6 202221
7 202013
8 201710
9 20236
10 20255
11 20234
12 20191
13 20241
14 20251

About Xiuling Fu

Xiuling Fu is a scholar working on Molecular Biology, Plant Science, Public Health, Environmental and Occupational Health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 14 papers that have together received 334 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Epigenetics and DNA Methylation (3 papers), Single-cell and spatial transcriptomics (3 papers), Chromosomal and Genetic Variations (3 papers), Developmental Biology and Gene Regulation (2 papers), Genomics and Chromatin Dynamics (2 papers) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Molecular Biology (238 citations), Aging (4 citations), Developmental Neuroscience (6 citations), Plant Science (73 citations) and Cancer Research (13 citations). Xiuling Fu has collaborated with scholars based in China, Hong Kong and Nigeria. Frequent co-authors include Andrew P. Hutchins, Li Sun, Yuhao Li, Fangfang He, Miguel Angel Esteban, Jiekai Chen, Gang Ma, Jiangping He, Isaac A. Babarinde and Wenjuan Li. Their work appears in journals such as Nature Communications, Nature Cell Biology, Nucleic Acids Research, Frontiers in Cell and Developmental Biology and Science Advances.

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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