Xiaoniao Chen

2.1k citations
44 papers · 1.4k · h-index 19

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Xiaoniao Chen

39 papers receiving 1.4k citations

Peers

Xiaoniao Chen
Comparison fields: 5 of 106
  • Genetics 160
  • Biomaterials 209
  • Cancer Research 199
  • Nephrology 84
  • Molecular Biology 724
Replace Yoon Shin Park with:
Yoon Shin Park South Korea
Yousef Mortazavi Iran
Peipei Wu China
Mei Zhang China
Dexuan Xiao China
Zhifeng Gu China
Chen Zhao China
Gaoran Ge China
Xiaoniao Chen relative to Yoon Shin Park South Korea Yoon Shin Park's profile →
Citations per field
00.5×2×3×4.3×
Yoon Shin Park · 1×
Citations per year

Countries citing papers authored by Xiaoniao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoniao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018330
2 2020185
3 2013100
4 201688
5 202167
6 201966
7 202266
8 202062
9 202349
10 202248
11 202033
12 201831
13 202026
14 202125
15 202024
16 201821
17 201819
18 202419
19 201819
20 202318

About Xiaoniao Chen

Xiaoniao Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Immunology and Surgery, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (9 papers), Ocular Surface and Contact Lens (8 papers), Corneal Surgery and Treatments (7 papers), Pluripotent Stem Cells Research (5 papers), Renal and related cancers (4 papers), MicroRNA in disease regulation (4 papers), Mesenchymal stem cell research (4 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Genetics (160 citations), Biomaterials (209 citations), Cancer Research (199 citations), Nephrology (84 citations) and Molecular Biology (724 citations). Xiaoniao Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zongjin Li, Kaiyue Zhang, Zhongchao Han, Zhibo Han, Deling Kong, Zhikun Guo, Qiang Zhao, Xiangnan Zhao, Yongzhen Wei and Na Liu. Their work appears in journals such as Stem Cell Research & Therapy, Advanced Science, Theranostics, iScience and Signal Transduction and Targeted Therapy.

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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