Xiaoni Chen

505 citations
25 papers · 372 · h-index 9

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine

Papers in

Xiaoni Chen

23 papers receiving 366 citations

Peers

Xiaoni Chen
Comparison fields: 5 of 74
  • Hepatology 131
  • Surgery 110
  • Oncology 51
  • Molecular Biology 133
  • Biomedical Engineering 85
Replace YX Chen with:
YX Chen China
Hannah Esser Austria
Fereshteh Haghighi Germany
Nora Freyer Germany
Shaojun Shi China
Rongxin Chen China
Yueh-Ting Chiu Taiwan
Branimir Popovic United States
Jianjun Hu China
Xiaoni Chen relative to YX Chen China YX Chen's profile →
Citations per field
00.5×6.2×
YX Chen · 1×
Citations per year

Countries citing papers authored by Xiaoni Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoni Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019198
2 201420
3 202018
4 202417
5 201115
6 201512
7 202312
8 201612
9 201310
10 20248
11 20247
12 20226
13 20196
14 20206
15 20205
16 20234
17 20214
18 20244
19 20143
20
[Association between serum uric acid and early kidney damage in middle-aged and elderly].
20102

About Xiaoni Chen

Xiaoni Chen is a scholar working on Molecular Biology, Hepatology, Pollution, Health, Toxicology and Mutagenesis and Surgery, having authored 25 papers that have together received 372 indexed citations. Recurring topics across this work include Liver physiology and pathology (4 papers), Pluripotent Stem Cells Research (2 papers), Nanoparticles: synthesis and applications (2 papers), Microplastics and Plastic Pollution (2 papers), RNA modifications and cancer (2 papers), Wind Turbine Control Systems (1 paper), Ferroptosis and cancer prognosis (1 paper) and Second Language Acquisition and Learning (1 paper). The work is most often cited by research in Hepatology (131 citations), Surgery (110 citations), Oncology (51 citations), Molecular Biology (133 citations) and Biomedical Engineering (85 citations). Xiaoni Chen has collaborated with scholars based in China and United States. Frequent co-authors include Di Wu, Fenfang Wu, Anlong Xu, Nan Zhao, Yong Ren, Bo Feng, Yuhua Huang, Shangwu Chen, Taotao Zhang and Peng Gao. Their work appears in journals such as Frontiers in Pharmacology, Protein Expression and Purification, Diabetes Research and Clinical Practice, Frontiers in Genetics and Developmental Biology.

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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