Xiaochen Dong

31.1k citations
352 papers · 27.3k indexed · 14 hit papers · h-index 91

Xiaochen Dong

347 papers receiving 27.0k citations

Hit Papers

Biofilm microenviron...15020102026201520204008001.2k

Peers

Xiaochen Dong
Comparison fields: 5 of 167
  • Electronic, Optical and Magnetic Materials 6.4k
  • Polymers and Plastics 4.1k
  • Biomedical Engineering 12.2k
  • Materials Chemistry 11.7k
  • Electrochemistry 1.3k
Replace Hua Bai with:
Hua Bai China
Qingwen Li China
Jingquan Liu China
Zhengzong Sun China
Ce Wang China
Sungjin Park South Korea
Nianqiang Wu United States
Chao Gao China
Kevin C.‐W. Wu Taiwan
Wenrong Yang Australia
Xiaochen Dong relative to Hua Bai China Hua Bai's profile →
Citations per field
00.5×1.5×2.3×
Hua Bai · 1×
Citations per year

Countries citing papers authored by Xiaochen Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20250
6 202440
7 202423
8 202416
9 20249
10 202331
11 202319
12 202366
13 202318
14 202347
15 202260
16 202243
17 202140
18 2020172
19 202050
20
Fabp4-Cre-mediated Sirt6 deletion impairs adipose tissue function and metabolic homeostasis in mice
20171

About Xiaochen Dong

Xiaochen Dong is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 352 papers that have together received 27.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (120 papers), Supercapacitor Materials and Fabrication (66 papers), Luminescence and Fluorescent Materials (56 papers), Advancements in Battery Materials (50 papers), Photodynamic Therapy Research Studies (45 papers), Advanced Nanomaterials in Catalysis (39 papers), Conducting polymers and applications (34 papers) and Advanced Sensor and Energy Harvesting Materials (30 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (6.4k citations), Polymers and Plastics (4.1k citations) and Biomedical Engineering (12.2k citations). Xiaochen Dong has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Wei Huang, Peng Chen, Jinjun Shao, Jun Yang, Mary B. Chan‐Park, Weili Si, Lianhui Wang, Lain‐Jong Li, Chencheng Sun and Yinxi Huang. Their work appears in journals such as ACS Applied Materials & Interfaces, Chemical Engineering Journal, Journal of Materials Chemistry B, Nano Research and ACS Nano.

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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