Xiaofei Wen

1.6k citations
57 papers · 1.2k · h-index 16

Impact in

    • Microbial Inactivation Methods
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Xiaofei Wen

51 papers receiving 1.1k citations

Peers

Xiaofei Wen
Comparison fields: 5 of 110
  • Biotechnology 151
  • Cancer Research 217
  • Oncology 220
  • Immunology 139
  • Molecular Biology 414
Replace Ming Kuang with:
Ming Kuang China
Mariana Varna France
Jinfan Li China
Kwan-Hwa Chi Taiwan
Shijie Li China
Wenqi Jiang China
Sang‐Yeob Kim South Korea
Xiaoyan Xin China
Aihua Wu China
Preethi Korangath United States
Xiaofei Wen relative to Ming Kuang China Ming Kuang's profile →
Citations per field
00.5×1.5×2.3×
Ming Kuang · 1×
Citations per year

Countries citing papers authored by Xiaofei Wen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016224
2 2019221
3 201986
4 201572
5 202266
6 201739
7 201539
8 201836
9 201431
10 202030
11 202225
12 201423
13 201722
14 201319
15 200816
16 201915
17 202315
18 200714
19 201013
20 202313

About Xiaofei Wen

Xiaofei Wen is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (7 papers), Prostate Cancer Treatment and Research (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Cancer, Lipids, and Metabolism (4 papers), Microbial Inactivation Methods (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Extracellular vesicles in disease (3 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Biotechnology (151 citations), Cancer Research (217 citations), Oncology (220 citations), Immunology (139 citations) and Molecular Biology (414 citations). Xiaofei Wen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chun Li, Tingting Li, Jun Zhao, Baozhong Shen, Xiaoxia Wen, Tian Li, Marites P. Melancon, Weiyi Peng, Chunyu Xu and Sanjay Gupta. Their work appears in journals such as PLoS ONE, Applied Catalysis B: Environmental, Chemical Engineering Journal, Tumor Biology and Theranostics.

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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