Xiaomi Chen

549 citations
14 papers · 410 indexed · h-index 9

Impact in

    • Genetic Neurodegenerative Diseases
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • Mitochondrial Function and Pathology
    • Genomics and Chromatin Dynamics
    • DNA and Nucleic Acid Chemistry

Papers in

    • Genomic variations and chromosomal abnormalities 2
    • Connective tissue disorders research 1
    • DNA Repair Mechanisms 5
    • CRISPR and Genetic Engineering 3
    • Genomics and Chromatin Dynamics 2

Xiaomi Chen

14 papers receiving 407 citations

Peers

Xiaomi Chen
Comparison fields: 5 of 52
  • Cellular and Molecular Neuroscience 104
  • Molecular Biology 347
  • Genetics 87
  • Cell Biology 34
  • Cancer Research 26
Replace Fabienne De Graeve with:
Fabienne De Graeve France
Sonia N. Acharya United States
L Vu United States
Laura J.A. Hardwick United Kingdom
Silvina Epsztejn‐Litman Israel
Maria‐Eleni Lalioti Greece
Aurélie Dupuy France
Nicola Miglino Switzerland
Elizaveta Bashkirova United States
Alison Venable United States
Xiaomi Chen relative to Fabienne De Graeve France Fabienne De Graeve's profile →
Citations per field
00.5×2.6×
Fabienne De Graeve · 1×
Citations per year

Countries citing papers authored by Xiaomi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2010124
2 2018115
3 201240
4 201234
5 201519
6 201318
7 202017
8 201214
9 201412
10 20178
11 20165
12 20232
13 20221
14 20211

About Xiaomi Chen

Xiaomi Chen is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Environmental Engineering, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (3 papers), Genomic variations and chromosomal abnormalities (2 papers), Genomics and Chromatin Dynamics (2 papers), Genetic Neurodegenerative Diseases (2 papers), Connective tissue disorders research (1 paper), GABA and Rice Research (1 paper) and Neural Networks and Reservoir Computing (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (104 citations), Molecular Biology (347 citations), Genetics (87 citations), Cell Biology (34 citations) and Cancer Research (26 citations). Xiaomi Chen has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Guoqi Liu, Michael Leffak, Richard R. Sinden, John J. Bissler, Andrew Getahun, John C. Cambier, Dennis R. Roop, David P. Astling, Igor Kogut and Kenneth L. Jones. Their work appears in journals such as The Journal of Immunology, Molecular and Cellular Biology, Human Mutation, AIP Advances and Journal of Biological Chemistry.

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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