Qingfeng Li

561 total citations · 1 hit paper
22 papers, 312 citations indexed

About

Qingfeng Li is a scholar working on Surgery, Molecular Biology and Dermatology. According to data from OpenAlex, Qingfeng Li has authored 22 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Dermatology. Recurrent topics in Qingfeng Li's work include Dermatologic Treatments and Research (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Pluripotent Stem Cells Research (3 papers). Qingfeng Li is often cited by papers focused on Dermatologic Treatments and Research (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Pluripotent Stem Cells Research (3 papers). Qingfeng Li collaborates with scholars based in China, United States and India. Qingfeng Li's co-authors include Zhouxiao Li, Thilo L. Schenck, Riccardo E. Giunta, Yangbai Sun, Konstantin Christoph Koban, Yuanyuan Zhang, Xiaoling Wei, Xuefeng Dou, Zhirui Jiang and Shuning Liu and has published in prestigious journals such as Advanced Materials, Nature Communications and Acta Biomaterialia.

In The Last Decade

Qingfeng Li

15 papers receiving 304 citations

Hit Papers

Artificial Intelligence in Dermatology Image Analysis: Cu... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends
    2022 117 citations Zhouxiao Li, Konstantin Christoph Koban et al. Journal of Clinical Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qingfeng Li China 7 91 73 46 43 38 22 312
Katsuhide Ikeda Japan 12 105 1.2× 114 1.6× 25 0.5× 97 2.3× 56 1.5× 44 472
Guneet S. Mehta United States 5 67 0.7× 63 0.9× 15 0.3× 47 1.1× 24 0.6× 6 330
Jiro Ogino Japan 12 85 0.9× 119 1.6× 15 0.3× 66 1.5× 27 0.7× 27 398
Vy Nguyen United States 8 170 1.9× 42 0.6× 30 0.7× 41 1.0× 44 1.2× 15 383
Lintao Bi China 10 132 1.5× 97 1.3× 30 0.7× 29 0.7× 55 1.4× 26 313
Amanda Truong United States 10 117 1.3× 123 1.7× 12 0.3× 56 1.3× 34 0.9× 25 447
Akihiko Serizawa Japan 10 146 1.6× 106 1.5× 15 0.3× 47 1.1× 50 1.3× 24 323
Yeonjoo Choi South Korea 9 69 0.8× 183 2.5× 46 1.0× 61 1.4× 52 1.4× 38 420
Suzana Manxhuka-Kërliu Kosovo 10 51 0.6× 57 0.8× 11 0.2× 112 2.6× 55 1.4× 28 362
Xiaoling Wei China 9 126 1.4× 17 0.2× 38 0.8× 20 0.5× 42 1.1× 34 290

Countries citing papers authored by Qingfeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfeng Li. A scholar is included among the top collaborators of Qingfeng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingfeng Li. Qingfeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yanwen, Yunyi Wang, Poh‐Ching Tan, et al.. (2025). Microenvironment-feedback regulated hydrogels as living wound healing materials. Nature Communications. 16(1). 6050–6050. 5 indexed citations
2.
Wen, Dongsheng, Kai Chen, Zizhong Hu, et al.. (2025). Piezo1 and tissue fibrosis: insights into its role and potential for modulation. Burns & Trauma. 13. tkaf054–tkaf054.
3.
Jin, Jiamin, Jieyu Gu, Ran Yang, et al.. (2025). Anti-BCL2 therapy eliminates giant congenital melanocytic nevus by senolytic and immune induction. Signal Transduction and Targeted Therapy. 10(1). 161–161.
4.
Xie, Yun, Qingfeng Li, Zuoliang Qi, et al.. (2025). VYC-25L Is Safe and Effective for Enhancing the Chin and Jawline by Correcting Chin Retrusion in Chinese Adults. Aesthetic Surgery Journal. 45(7). 699–708.
5.
6.
Yu, Weijian, et al.. (2025). Effect of strain rate on the dynamic splitting behavior and fracture surface morphology of granite subjected to high-temperature treatment. Journal of Materials Research and Technology. 39. 7231–7247.
7.
Zhang, Yixiang, Wei He, Juan Wang, et al.. (2025). Ionizable Coenzyme‐Engineered Lipid/Fiber Microplexes Boost Ribosomal Translation to Improve mRNA Therapy for Degenerative Diseases. Advanced Materials. 38(4). e13720–e13720.
8.
Li, Qingfeng, et al.. (2024). SUCLG1 promotes aerobic respiration and progression in plexiform neurofibroma. International Journal of Oncology. 66(2).
9.
Cheng, Xinwei, Zhen Gao, Shengzhou Shan, et al.. (2024). Single cell transcriptomics reveals the cellular heterogeneity of keloids and the mechanism of their aggressiveness. Communications Biology. 7(1). 1647–1647. 5 indexed citations
10.
Yang, Jing, Shengnan Liu, P. A. Karalkin, et al.. (2024). Bioengineering autologous cartilage grafts for functional posterior lamellar eyelid reconstruction: A preliminary study in rabbits. Acta Biomaterialia. 179. 106–120. 2 indexed citations
11.
12.
Qin, Jiaqi, Chen Cheng, Ru‐Lin Huang, et al.. (2024). Isolation of the Stromal Vascular Fraction Using a New Protocol with All Clinical-Grade Drugs: From Basic Study to Clinical Application. Aesthetic Plastic Surgery. 48(22). 4702–4711. 1 indexed citations
13.
Li, Qingfeng, et al.. (2024). Exploiting urine-derived induced pluripotent stem cells for advancing precision medicine in cell therapy, disease modeling, and drug testing. Journal of Biomedical Science. 31(1). 47–47. 14 indexed citations
14.
Huang, Ru‐Lin, Qingfeng Li, Jian‐xing Ma, Anthony Atala, & Yuanyuan Zhang. (2023). Body fluid-derived stem cells — an untapped stem cell source in genitourinary regeneration. Nature Reviews Urology. 20(12). 739–761. 15 indexed citations
15.
Dou, Xuefeng, Qiang Fu, Qilai Long, et al.. (2023). PDK4-dependent hypercatabolism and lactate production of senescent cells promotes cancer malignancy. Nature Metabolism. 5(11). 1887–1910. 88 indexed citations
16.
Li, Yuehua, Chengjiang Wei, Yihui Gu, et al.. (2022). Knockdown of NCOR2 Inhibits Cell Proliferation via BDNF/TrkB/ERK in NF1-Derived MPNSTs. Cancers. 14(23). 5798–5798. 4 indexed citations
17.
Li, Qingfeng, et al.. (2022). Urine-Derived Stem Cells for Epithelial Tissues Reconstruction and Wound Healing. Pharmaceutics. 14(8). 1669–1669. 16 indexed citations
18.
Li, Zhouxiao, Konstantin Christoph Koban, Thilo L. Schenck, et al.. (2022). Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends. Journal of Clinical Medicine. 11(22). 6826–6826. 117 indexed citations breakdown →
19.
20.
Zhang, Xia, Fengzhen Liu, Liping Zhang, et al.. (2021). A stress-induced miR-31–CLOCK–ERK pathway is a key driver and therapeutic target for skin aging. Nature Aging. 1(9). 795–809. 20 indexed citations

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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