Xun Chu

5.9k citations
27 papers · 443 · h-index 13

Impact in

    • Genetic Associations and Epidemiology
    • Diabetes and associated disorders

Papers in

    • Congenital gastrointestinal and neural anomalies 4
    • Pediatric Hepatobiliary Diseases and Treatments 4
    • Diabetes and associated disorders 4
    • Genetic Associations and Epidemiology 4
    • Genetic Syndromes and Imprinting 2

Xun Chu

24 papers receiving 437 citations

Peers

Xun Chu
Comparison fields: 5 of 76
  • Genetics 150
  • Immunology 90
  • Endocrinology, Diabetes and Metabolism 54
  • Molecular Biology 179
  • Critical Care and Intensive Care Medicine 12
Replace Liene Ņikitina-Zaķe with:
Liene Ņikitina-Zaķe Latvia
Brian K. Stevens United States
Joon-Young Kim South Korea
Hui Yi China
Ling Jie Wang China
Bihua Xu China
Matthew Hoffman United States
Lydie Noé France
Melanie Eggermont Belgium
Masahiko Kutsukake Japan
Xun Chu relative to Liene Ņikitina-Zaķe Latvia Liene Ņikitina-Zaķe's profile →
Citations per field
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Liene Ņikitina-Zaķe · 1×
Citations per year

Countries citing papers authored by Xun Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200765
2 201353
3 201946
4 201544
5 201626
6 201125
7 201124
8 201019
9 202019
10 200917
11 201816
12 201015
13 200914
14 201811
15 201311
16 201910
17 20219
18 20238
19 20235
20 20202

About Xun Chu

Xun Chu is a scholar working on Surgery, Genetics, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 443 indexed citations. Recurring topics across this work include Diabetes and associated disorders (4 papers), Genetic Associations and Epidemiology (4 papers), Congenital gastrointestinal and neural anomalies (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Genetic Syndromes and Imprinting (2 papers) and Liver Diseases and Immunity (2 papers). The work is most often cited by research in Genetics (150 citations), Immunology (90 citations), Endocrinology, Diabetes and Metabolism (54 citations), Molecular Biology (179 citations) and Critical Care and Intensive Care Medicine (12 citations). Xun Chu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Wei Huang, Changzheng Dong, Jin Li, Zhenju Song, Ying Wang, Yi Wang, Yixue Li, Tieliu Shi, Chaoyang Tong and Jinxiu Shi. Their work appears in journals such as Journal of Medical Genetics, Frontiers in Genetics, PLoS ONE, Clinical Endocrinology and Aging.

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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