Xiaowei Bian

793 citations
20 papers · 493 · h-index 14

Impact in

Papers in

    • Extracellular vesicles in disease 5
    • Circular RNAs in diseases 2
    • RNA Interference and Gene Delivery 2
    • Wound Healing and Treatments 6

Xiaowei Bian

20 papers receiving 488 citations

Peers

Xiaowei Bian
Comparison fields: 5 of 80
  • Rehabilitation 121
  • Periodontics 56
  • Genetics 69
  • Cancer Research 95
  • Biomaterials 57
Replace Michelle F. Siqueira with:
Michelle F. Siqueira Canada
Motaz Abas United States
Anisyah Ridiandries Australia
Hyeran Helen Jeon United States
Sang Yong Kim United States
Vivian Petersen Wagner Brazil
Sandrine Lorimier France
Shutong Li China
Huayang Wu United States
Xiaowei Bian relative to Michelle F. Siqueira Canada Michelle F. Siqueira's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaowei Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201999
2 202064
3 202153
4 201531
5 202030
6 202028
7 202225
8 202421
9 202220
10 202119
11 202117
12 202116
13 202413
14 202213
15 202312
16
Comparative observation with MRI and pathology of brain edema at the early stage of severe burn.
200112
17 20227
18 20247
19 20135
20 20241

About Xiaowei Bian

Xiaowei Bian is a scholar working on Molecular Biology, Rehabilitation, Periodontics, Cancer Research and Surgery, having authored 20 papers that have together received 493 indexed citations. Recurring topics across this work include Wound Healing and Treatments (6 papers), Extracellular vesicles in disease (5 papers), Oral microbiology and periodontitis research (4 papers), Mesenchymal stem cell research (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), RNA Interference and Gene Delivery (2 papers) and Oral Health Pathology and Treatment (2 papers). The work is most often cited by research in Rehabilitation (121 citations), Periodontics (56 citations), Genetics (69 citations), Cancer Research (95 citations) and Biomaterials (57 citations). Xiaowei Bian has collaborated with scholars based in China, Sweden and Thailand. Frequent co-authors include Xiaobing Fu, Cuiping Zhang, Kui Ma, Zheng Zhang, Youli Zheng, Bingmin Li, Mengli Sun, Jie Yang, Dongqing Li and Shiqing Ma. Their work appears in journals such as Nature Communications, Stem Cell Research & Therapy, Clinical Oral Investigations, FEBS Journal and Frontiers in Immunology.

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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