Yiping Ge

738 total citations
44 papers, 482 citations indexed

About

Yiping Ge is a scholar working on Dermatology, Cell Biology and Epidemiology. According to data from OpenAlex, Yiping Ge has authored 44 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Dermatology, 13 papers in Cell Biology and 10 papers in Epidemiology. Recurrent topics in Yiping Ge's work include Dermatologic Treatments and Research (19 papers), melanin and skin pigmentation (10 papers) and Acne and Rosacea Treatments and Effects (9 papers). Yiping Ge is often cited by papers focused on Dermatologic Treatments and Research (19 papers), melanin and skin pigmentation (10 papers) and Acne and Rosacea Treatments and Effects (9 papers). Yiping Ge collaborates with scholars based in China, Netherlands and United States. Yiping Ge's co-authors include Tong Lin, Yin Yang, Lifang Guo, Mengli Zhang, Qiuju Wu, Rong Zeng, Min Li, Wei Liu, Ping Zhan and Yong Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of the American Academy of Dermatology.

In The Last Decade

Yiping Ge

38 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiping Ge China 16 195 131 106 85 63 44 482
George W. Agak United States 14 502 2.6× 86 0.7× 104 1.0× 23 0.3× 28 0.4× 32 757
Daniel Stulberg United States 10 179 0.9× 136 1.0× 52 0.5× 53 0.6× 42 0.7× 12 456
Manjunath Shenoy India 12 130 0.7× 300 2.3× 172 1.6× 64 0.8× 36 0.6× 81 496
Elisa Zavattaro Italy 16 186 1.0× 276 2.1× 44 0.4× 34 0.4× 230 3.7× 82 721
Michelle T. Pelle United States 8 575 2.9× 209 1.6× 134 1.3× 46 0.5× 15 0.2× 12 714
Theresa N. Canavan United States 9 115 0.6× 195 1.5× 44 0.4× 36 0.4× 79 1.3× 21 438
Varadraj V Pai India 9 81 0.4× 96 0.7× 44 0.4× 27 0.3× 21 0.3× 34 285
F Hamerlinck Netherlands 13 135 0.7× 94 0.7× 29 0.3× 47 0.6× 22 0.3× 26 514
Vineet Relhan India 13 168 0.9× 214 1.6× 63 0.6× 114 1.3× 8 0.1× 44 557
Toshinori Furukawa Japan 9 50 0.3× 165 1.3× 16 0.2× 45 0.5× 88 1.4× 27 625

Countries citing papers authored by Yiping Ge

Since Specialization
Citations

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

Fields of papers citing papers by Yiping Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiping Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Yiping Ge. A scholar is included among the top collaborators of Yiping Ge 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 Yiping Ge. Yiping Ge 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.
Liu, Xing, et al.. (2025). Metformin inhibits melanin synthesis and melanosome transfer through the cAMP pathway. Scientific Reports. 15(1). 11442–11442. 3 indexed citations
2.
Cai, Pingping, et al.. (2024). Plasma Metabolomics Indicates Potential Biomarkers and Abnormal Metabolic Pathways in Female Melasma Patients. Annals of Dermatology. 36(5). 300–300.
4.
Zhang, Mengli, et al.. (2024). Efficacy of a 1064-nm Picosecond Laser for Treating Early-Stage Traumatic and Surgical Scars. Aesthetic Plastic Surgery. 49(5). 1554–1558. 1 indexed citations
5.
Yan, Tao, et al.. (2024). HAPLN1 knockdown inhibits heart failure development via activating the PKA signaling pathway. BMC Cardiovascular Disorders. 24(1). 197–197. 2 indexed citations
6.
Liu, Xing, et al.. (2023). Blue Nevus Hidden within the Nevus of Ota. Chinese Medical Sciences Journal. 38(1). 70–72.
7.
Guo, Lifang, et al.. (2022). A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions. Annals of Translational Medicine. 10(10). 590–590. 27 indexed citations
8.
Ding, Hui, Fu‐Min Fang, Xing Liu, et al.. (2022). Automatic identification of benign pigmented skin lesions from clinical images using deep convolutional neural network. BMC Biotechnology. 22(1). 28–28. 17 indexed citations
9.
Fang, Fu‐Min, et al.. (2022). Treatment of acne scars with fractional carbon dioxide laser in Asians: a retrospective study to search for predicting factors associated with efficacy. Lasers in Medical Science. 37(6). 2623–2627. 10 indexed citations
10.
Yang, Yin, Lifang Guo, Qiuju Wu, et al.. (2021). Construction and Evaluation of a Deep Learning Model for Assessing Acne Vulgaris Using Clinical Images. Dermatology and Therapy. 11(4). 1239–1248. 22 indexed citations
11.
Ge, Yiping, Ying Yang, Lifang Guo, et al.. (2019). Comparison of a picosecond alexandrite laser versus a Q-switched alexandrite laser for the treatment of nevus of Ota: A randomized, split-lesion, controlled trial. Journal of the American Academy of Dermatology. 83(2). 397–403. 35 indexed citations
12.
Yang, Yin, Peng Lin, Yiping Ge, & Tong Lin. (2018). Comparison of the efficacy and safety of a picosecond alexandrite laser and a Q-switched alexandrite laser for the treatment of freckles in Chinese patients. Journal of the American Academy of Dermatology. 79(6). 1155–1156. 16 indexed citations
13.
Zhang, Mengli, et al.. (2017). A retrospective analysis of the influencing factors and complications of Q-switched lasers in tattoo removal in China. Journal of Cosmetic and Laser Therapy. 20(2). 71–76. 10 indexed citations
14.
Li, Caixia, Le Wang, Hua Tong, et al.. (2016). Microsatellite analysis of genotype distribution patterns of Candida albicans vulvovaginal candidiasis in Nanjing, China and its association with pregnancy, age and clinical presentation. Archives of Gynecology and Obstetrics. 294(2). 291–297. 8 indexed citations
15.
Ge, Yiping, et al.. (2016). Hypomethylation of HLA-DRB1 and its clinical significance in psoriasis. Oncotarget. 8(7). 12323–12332. 20 indexed citations
16.
Ge, Yiping, et al.. (2012). A simple and reliable PCR-restriction fragment length polymorphism assay to identify Candida albicans and its closely related Candida dubliniensis. Brazilian Journal of Microbiology. 43(3). 873–879. 4 indexed citations
17.
Ge, Yiping, et al.. (2012). Characterization of theCandida parapsilosiscomplex in East China: species distribution differs among cities. Medical Mycology. 50(1). 56–66. 25 indexed citations
18.
Ge, Yiping, et al.. (2012). First report of subcutaneous phaeohyphomycosis caused byOchroconis tshawytschaein an immunocompetent patient. Medical Mycology. 50(6). 637–640. 18 indexed citations
19.
Ge, Yiping, et al.. (2011). In Vitro Evaluation of Phospholipase, Proteinase, and Esterase Activities of Candida parapsilosis and Candida metapsilosis. Mycopathologia. 172(6). 429–438. 21 indexed citations
20.
Zhan, Ping, et al.. (2009). A case-control analysis and laboratory study of the two feet-one hand syndrome in two dermatology hospitals in China. Clinical and Experimental Dermatology. 35(5). 468–472. 15 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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