Xiaojing Sun

1.5k citations
51 papers · 1.1k · h-index 17

Impact in

Papers in

Xiaojing Sun

49 papers receiving 1.1k citations

Peers

Xiaojing Sun
Comparison fields: 5 of 94
  • Endocrine and Autonomic Systems 80
  • Molecular Biology 596
  • Cardiology and Cardiovascular Medicine 167
  • Geriatrics and Gerontology 20
  • Cell Biology 86
Replace De Li with:
De Li China
Scott B. Widenmaier Canada
Megan Bonney United States
Jinjiang Pang United States
Vandana Verma India
Maria Agnese Della Fazia Italy
Kristin Pogoda Germany
Isabelle Mothe‐Satney France
Xiao-Qing Dai Canada
Jean‐François Decaux France
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Citations per field
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De Li · 1×
Citations per year

Countries citing papers authored by Xiaojing Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2 2019114
3 2011103
4 200487
5 200668
6 200965
7 201736
8 201735
9 200833
10 202129
11 202426
12 202126
13 201722
14 201922
15 202119
16 201819
17 200418
18 201715
19 201615
20 202014

About Xiaojing Sun

Xiaojing Sun is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Immunology and Sensory Systems, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ion channel regulation and function (6 papers), Vasculitis and related conditions (5 papers), Ion Channels and Receptors (5 papers), Cardiovascular Effects of Exercise (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Muscle Physiology and Disorders (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (80 citations), Molecular Biology (596 citations), Cardiology and Cardiovascular Medicine (167 citations), Geriatrics and Gerontology (20 citations) and Cell Biology (86 citations). Xiaojing Sun has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Yongfeng Shang, Hua Zhang, Xiaolei Xu, Xia Yi, Huijian Wu, Ge Wu, Min Chen, Ming‐Hui Zhao, Tong Lü and Yonghe Ding. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Lara D. Veeken, Circulation Research and Journal of Cellular and Molecular Medicine.

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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