Xiaocui Chen

1.1k citations
48 papers · 800 · h-index 17

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Renal and related cancers 4
    • Tissue Engineering and Regenerative Medicine 3
    • Pancreatic function and diabetes 3

Xiaocui Chen

48 papers receiving 789 citations

Peers

Xiaocui Chen
Comparison fields: 5 of 106
  • Nephrology 113
  • Cancer Research 133
  • Immunology 137
  • Pathology and Forensic Medicine 92
  • Molecular Biology 341
Replace Sung Kwang Park with:
Sung Kwang Park South Korea
Guoxian Qi China
Yue Han China
Ines Sturmlechner United States
Rushita A. Bagchi United States
Yuanjian Chen United States
Lian Xu China
Kohsuke Shirakawa Japan
Xiaocui Chen relative to Sung Kwang Park South Korea Sung Kwang Park's profile →
Citations per field
00.5×9.2×
Sung Kwang Park · 1×
Citations per year

Countries citing papers authored by Xiaocui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201794
2 202080
3 201761
4 201757
5 202045
6 202232
7 202328
8 201826
9 201926
10 201924
11 201924
12 202123
13 202123
14 202119
15 201719
16 202117
17 202017
18 202313
19 201613
20 202213

About Xiaocui Chen

Xiaocui Chen is a scholar working on Molecular Biology, Surgery, Epidemiology, Nephrology and Immunology, having authored 48 papers that have together received 800 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (9 papers), Renal and related cancers (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pancreatic function and diabetes (3 papers), Phagocytosis and Immune Regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Nephrology (113 citations), Cancer Research (133 citations), Immunology (137 citations), Pathology and Forensic Medicine (92 citations) and Molecular Biology (341 citations). Xiaocui Chen has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Ju Liu, Chen Yang, Zhihang Li, Huafeng Liu, Hui Y. Lan, H. Wu, Bang‐Dang Chen, Ning An, Qi Xie and Wei Zhang. Their work appears in journals such as Scientific Reports, Biomedicine & Pharmacotherapy, Oncotarget, Journal of Cellular and Molecular Medicine and Acta Crystallographica Section C Structural 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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