Xun Chu

5.9k citations
28 papers · 455 · h-index 13

Impact in

    • Genetic Associations and Epidemiology
    • Diabetes and associated disorders
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Pediatric Hepatobiliary Diseases and Treatments 4
    • Congenital gastrointestinal and neural anomalies 3
    • Diabetes and associated disorders 2

Xun Chu

25 papers receiving 449 citations

Peers

Xun Chu
Comparison fields: 5 of 78
  • Genetics 131
  • Immunology 71
  • Endocrinology, Diabetes and Metabolism 43
  • Molecular Biology 155
  • Pharmacology 17
Replace Justin Yu with:
Justin Yu United States
Davoud Mohtat United States
Tiane Dai United States
Ilkka Jaakkola Finland
Irene M. Predazzi United States
Ekta Rai India
Joseph Maranville United States
Emilie Théâtre Belgium
Liene Ņikitina-Zaķe Latvia
Yoshifumi Ohnishi Japan
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Citations per field
00.5×7.3×
Justin Yu · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200766
2 201353
3 201946
4 201546
5 201627
6 201125
7 201124
8 201019
9 202019
10 200917
11 201816
12 201015
13 200914
14 201311
15 201811
16 201910
17 20219
18 20218
19 20238
20 20235

About Xun Chu

Xun Chu is a scholar working on Surgery, Genetics, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 455 indexed citations. Recurring topics across this work include Pediatric Hepatobiliary Diseases and Treatments (4 papers), Congenital gastrointestinal and neural anomalies (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes and associated disorders (2 papers), Liver Diseases and Immunity (2 papers), Gallbladder and Bile Duct Disorders (2 papers), Bioinformatics and Genomic Networks (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Genetics (131 citations), Immunology (71 citations), Endocrinology, Diabetes and Metabolism (43 citations), Molecular Biology (155 citations) and Pharmacology (17 citations). Xun Chu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Wei Huang, Changzheng Dong, Jin Li, Chaoyang Tong, Yixue Li, Zhenju Song, Jinxiu Shi, Ying Wang, Yi Wang and Tieliu Shi. Their work appears in journals such as PLoS ONE, Frontiers in Genetics, Journal of Medical Genetics, Pediatric Research and Genes and Immunity.

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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