Dan Jian

969 total citations
45 papers, 555 citations indexed

About

Dan Jian is a scholar working on Dermatology, Cell Biology and Epidemiology. According to data from OpenAlex, Dan Jian has authored 45 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Dermatology, 14 papers in Cell Biology and 9 papers in Epidemiology. Recurrent topics in Dan Jian's work include Acne and Rosacea Treatments and Effects (19 papers), melanin and skin pigmentation (13 papers) and Skin Protection and Aging (9 papers). Dan Jian is often cited by papers focused on Acne and Rosacea Treatments and Effects (19 papers), melanin and skin pigmentation (13 papers) and Skin Protection and Aging (9 papers). Dan Jian collaborates with scholars based in China, United States and Germany. Dan Jian's co-authors include Ji Li, Hongfu Xie, Ben Wang, Yan Tang, Hongfu Xie, Wei Shi, Xiang Chen, Yingxue Huang, Xinglin Hu and Juan Su and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dan Jian

40 papers receiving 550 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dan Jian 292 158 120 66 63 45 555
Ola Ahmed Bakry 178 0.6× 118 0.7× 100 0.8× 38 0.6× 32 0.5× 46 405
David Piwnica 188 0.6× 185 1.2× 190 1.6× 28 0.4× 41 0.7× 15 594
Xiaodong Wei 63 0.2× 144 0.9× 175 1.5× 107 1.6× 55 0.9× 32 568
Hyeon Gyeong Yoo 170 0.6× 114 0.7× 153 1.3× 33 0.5× 32 0.5× 13 527
Masakazu Kawaguchi 89 0.3× 126 0.8× 89 0.7× 39 0.6× 49 0.8× 29 365
Marie‐Sophie Narzt 105 0.4× 110 0.7× 222 1.9× 23 0.3× 70 1.1× 18 448
Tomoyasu Hattori 83 0.3× 44 0.3× 231 1.9× 62 0.9× 71 1.1× 29 544
Xinglin Hu 73 0.3× 116 0.7× 260 2.2× 52 0.8× 25 0.4× 21 536
Lili Yang 92 0.3× 305 1.9× 205 1.7× 22 0.3× 69 1.1× 32 594
Taro Masaki 139 0.5× 57 0.4× 192 1.6× 64 1.0× 56 0.9× 30 434

Countries citing papers authored by Dan Jian

Since Specialization
Citations

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

Fields of papers citing papers by Dan Jian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Jian

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Jian. A scholar is included among the top collaborators of Dan Jian 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 Dan Jian. Dan Jian 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.
Xiao, Xinke, Dan Jian, Wei Shi, et al.. (2025). Proteomic profiling reveals distinct inflammatory and neurogenic endotypes in rosacea. Journal of the American Academy of Dermatology. 94(1). 66–72. 1 indexed citations
2.
Wang, Yanru, Zhuxin Dong, Wenjihao Hu, et al.. (2025). Matrix stiffness drives squamous cell carcinoma progression via a Piezo1-mediated mechanotransduction feedback loop. Journal of Advanced Research.
3.
Tang, Jin Bo, Peng Chen, C. S. Huang, et al.. (2025). 17β-Estradiol promotes LL37-induced rosacea-like skin inflammation via G protein-coupled estrogen receptor 30. Journal of Dermatological Science. 119(3). 101–111.
4.
Wang, Ben, et al.. (2024). Clinical characteristics of the well‐defined upper eyelid vascular network pattern in patients with rosacea. International Journal of Dermatology. 63(3). 337–344. 1 indexed citations
5.
Jiang, Zixi, Hui Li, Yixin Li, et al.. (2024). Low‐Frequency Ultrasound Sensitive Piezo1 Channels Regulate Keloid‐Related Characteristics of Fibroblasts. Advanced Science. 11(14). e2305489–e2305489. 25 indexed citations
6.
Deng, Zhili, Mengting Chen, Zhixiang Zhao, et al.. (2023). Whole genome sequencing identifies genetic variants associated with neurogenic inflammation in rosacea. Nature Communications. 14(1). 3958–3958. 23 indexed citations
7.
Luo, Hao, Gaolei Liu, Dan Jian, et al.. (2022). Neoadjuvant Chemotherapy Improves the Immunosuppressive Microenvironment of Bladder Cancer and Increases the Sensitivity to Immune Checkpoint Blockade. Journal of Immunology Research. 2022. 1–21. 1 indexed citations
8.
Jian, Dan, Mengxia Li, Yuxin Yang, et al.. (2022). Next generation sequencing targeted detection of somatic mutations in patients with mucinous adenocarcinoma of the appendix. Annals of Diagnostic Pathology. 61. 152024–152024. 4 indexed citations
9.
10.
Deng, Zhili, Mengting Chen, C. S. Huang, et al.. (2021). Keratinocyte-Immune Cell Crosstalk in a STAT1-Mediated Pathway: Novel Insights Into Rosacea Pathogenesis. Frontiers in Immunology. 12. 674871–674871. 29 indexed citations
11.
Jian, Dan, Chengyuan Qian, Dong Wang, et al.. (2021). Conversion therapy with tislelizumab for high microsatellite instability, unresectable stage III gastric cancer: a case report. Annals of Translational Medicine. 9(18). 1489–1489. 5 indexed citations
12.
Xie, Hongfu, Zhixiang Zhao, Yan Tang, et al.. (2021). Clinical Features and Risk Factors for Nasal Rosacea: A Hospital-Based Retrospective Study. Dermatology and Therapy. 11(6). 1953–1963. 1 indexed citations
13.
Xie, Hongfu, et al.. (2021). A Negative Feedback Loop in Ultraviolet A-Induced Senescence in Human Dermal Fibroblasts Formed by SPCA1 and MAPK. Frontiers in Cell and Developmental Biology. 8. 597993–597993. 8 indexed citations
14.
Wang, Ben, Peiyao Li, Sha Yan, et al.. (2021). Efficacy and safety of non-insulated fractional microneedle radiofrequency for treating difficult-to-treat rosacea: a 48-week, prospective, observational study. Archives of Dermatological Research. 314(7). 643–650. 7 indexed citations
15.
Xiao, Yi, et al.. (2021). Willingness-to-Pay and Benefit–Cost Analysis of Botulinum Toxin for the Treatment of Rosacea in China: Findings from a Web-Based Survey. Patient Preference and Adherence. Volume 15. 1197–1205. 1 indexed citations
16.
17.
Li, Guo, Ben Wang, Zhixiang Zhao, et al.. (2020). Excessive cleansing: an underestimating risk factor of rosacea in Chinese population. Archives of Dermatological Research. 313(4). 225–234. 14 indexed citations
18.
Zhao, Zhixiang, Ben Wang, Yingxue Huang, et al.. (2020). A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study. JMIR Medical Informatics. 9(3). e23415–e23415. 32 indexed citations
19.
Tang, Yan, Hongfu Xie, Ji Li, & Dan Jian. (2017). The association between treatment reactions and treatment efficiency of Hemoporfin-photodynamic therapy on port wine stains: A prospective double blind randomized controlled trial. Photodiagnosis and Photodynamic Therapy. 18. 171–178. 21 indexed citations
20.
Jian, Dan, Xiang Chen, Juan Su, et al.. (2012). Adverse effects of propranolol treatment for infantile hemangiomas in China. Journal of Dermatological Treatment. 25(5). 388–390. 9 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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