Yuping Ran

2.1k total citations · 2 hit papers
108 papers, 1.1k citations indexed

About

Yuping Ran is a scholar working on Epidemiology, Infectious Diseases and Dermatology. According to data from OpenAlex, Yuping Ran has authored 108 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Epidemiology, 27 papers in Infectious Diseases and 23 papers in Dermatology. Recurrent topics in Yuping Ran's work include Nail Diseases and Treatments (46 papers), Fungal Infections and Studies (37 papers) and Antifungal resistance and susceptibility (20 papers). Yuping Ran is often cited by papers focused on Nail Diseases and Treatments (46 papers), Fungal Infections and Studies (37 papers) and Antifungal resistance and susceptibility (20 papers). Yuping Ran collaborates with scholars based in China, United States and Türkiye. Yuping Ran's co-authors include Xin Ran, Wei Chen, Yaling Dai, Kaiwen Zhuang, Eric Amador, Chaoliang Zhang, Li Xiong, Hui Zhou, Yongxiang Wang and Yu Wen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Journal of Clinical Microbiology.

In The Last Decade

Yuping Ran

100 papers receiving 1.1k citations

Hit Papers

Colorectal liver metastasis: molecular mechanism and inte... 2022 2026 2023 2024 2022 2025 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuping Ran China 19 455 226 220 189 156 108 1.1k
M. Venkataraman United States 19 293 0.6× 123 0.5× 201 0.9× 159 0.8× 197 1.3× 55 1.1k
Arindam Mondal United States 20 229 0.5× 154 0.7× 48 0.2× 446 2.4× 33 0.2× 66 1.3k
Michelle J. Henry‐Stanley United States 19 185 0.4× 320 1.4× 86 0.4× 346 1.8× 28 0.2× 37 909
Dinesh Chandra India 19 322 0.7× 251 1.1× 67 0.3× 417 2.2× 20 0.1× 61 1.8k
Song Huang Switzerland 20 332 0.7× 337 1.5× 68 0.3× 476 2.5× 13 0.1× 53 1.4k
Călin Giurcăneanu Romania 16 106 0.2× 53 0.2× 41 0.2× 161 0.9× 174 1.1× 66 725
Charlotte Primard France 14 171 0.4× 59 0.3× 66 0.3× 323 1.7× 74 0.5× 22 964
Mitchell Klausner United States 22 81 0.2× 69 0.3× 50 0.2× 196 1.0× 147 0.9× 69 1.3k
Mark S. Wilke United States 15 80 0.2× 76 0.3× 174 0.8× 376 2.0× 58 0.4× 21 1.1k
Zhi Ding China 24 178 0.4× 82 0.4× 35 0.2× 641 3.4× 251 1.6× 43 1.9k

Countries citing papers authored by Yuping Ran

Since Specialization
Citations

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

Fields of papers citing papers by Yuping Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuping Ran

This figure shows the co-authorship network connecting the top 25 collaborators of Yuping Ran. A scholar is included among the top collaborators of Yuping Ran 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 Yuping Ran. Yuping Ran 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.
Li, Shu, Hongmei Hu, Jialin Qu, et al.. (2025). Maternal predictors of early-onset sepsis in neonates: a multicenter retrospective cohort study and risk prediction model. Journal of Translational Medicine. 23(1). 1114–1114.
2.
Zhang, Weifeng, Shiquan Chen, Jia‐wen Zhou, et al.. (2025). Hybrid GA-BP Neural Network for Accurate Prediction of TBM Advance Speed Under Complex Geological Conditions. Applied Sciences. 15(22). 12115–12115.
3.
Ran, Yuping, et al.. (2025). Solving the Traveling Salesman Problem Using the IDINFO Algorithm. ISPRS International Journal of Geo-Information. 14(3). 111–111.
4.
Tao, Yiran, Dongmei Shi, Jiao Wang, et al.. (2025). Caged-hypocrellin mediated photodynamic therapy induces chromatin remodeling and disrupts mitochondrial energy metabolism in multidrug-resistant Candida auris. Redox Biology. 85. 103708–103708. 2 indexed citations
5.
Cai, Yeyu, William Nguyen, Jiayi Liu, et al.. (2025). Phototherapy in cancer treatment: strategies and challenges. Signal Transduction and Targeted Therapy. 10(1). 115–115. 78 indexed citations breakdown →
6.
Guo, Shaohua, Jiao Wang, Yao-Zhong Lin, et al.. (2025). Caged-hypocrellin-mediated antimicrobial photodynamic therapy as a dual-action strategy for fungal clearance and immune response regulation in drug-resistant Candida auris wound infections. Journal of the American Academy of Dermatology. 94(1). 73–80. 1 indexed citations
8.
Ran, Yuping, et al.. (2024). Coordination Analysis Between Urban Livability and Population Distribution in China’s Major Urban Agglomerations. Sustainability. 16(23). 10438–10438. 2 indexed citations
9.
Pradhan, Sushmita, et al.. (2020). Tinea capitis: dermoscopy and calcium fluorescent microscopy as highly efficient and precise diagnostic tools. Anais Brasileiros de Dermatologia. 95(3). 332–335. 5 indexed citations
10.
Dai, Yaling, et al.. (2018). Dermoscopic, fluorescence staining and scanning electronic microscopic observation on facial tinea of vellus hair in a child.. The Chinese Journal of Dermatovenereology. 32(3). 299–301. 1 indexed citations
11.
Ran, Xingwu, et al.. (2018). Clioquinol, an alternative antimicrobial agent against common pathogenic microbe. Journal de Mycologie Médicale. 28(3). 492–501. 31 indexed citations
12.
Ran, Xin, Kaiwen Zhuang, & Yuping Ran. (2015). Tinea corporis on the stump leg with Trichophyton rubrum infection. Medical Mycology Case Reports. 9. 31–33. 1 indexed citations
13.
Ran, Yuping, et al.. (2014). Successful treatment of oral itraconazole for infantile hemangiomas: A case series. The Journal of Dermatology. 42(2). 202–206. 16 indexed citations
14.
Ran, Yuping, et al.. (2013). Microsporum canis Infection in Three Familial Cases with Tinea Capitis and Tinea Corporis. Mycopathologia. 176(3-4). 259–265. 14 indexed citations
15.
Xie, Na, Kai Huang, Yunlong Lei, Yuping Ran, & Canhua Huang. (2012). Proteomics Annotation of Lipid Rafts Modified by Virus Infection. Combinatorial Chemistry & High Throughput Screening. 15(3). 253–265. 2 indexed citations
16.
Ran, Yuping, et al.. (2011). Localized Papular Mucinosis With IgA Nephropathy. Archives of Dermatology. 147(5). 599–599. 2 indexed citations
17.
Ran, Yuping, et al.. (2008). Primary vocal cord aspergillosis caused byAspergillus fumigatusand molecular identification of the isolate. Medical Mycology. 46(5). 475–479. 11 indexed citations
18.
Liu, Suling, et al.. (2007). Identification of a strain Prototheca zopfii var.hydrocarbonea by analyzing the sequence of ribosome RNA gene. Zhongguo renshougonghuanbing zazhi. 656–660. 3 indexed citations
19.
Yang, Fazhi, Yizhi Zhang, Stéphanie Nouveau, et al.. (2005). Dry skin : Specific features in chinese women. 23(3). 83–91. 1 indexed citations
20.
Ran, Yuping, et al.. (2002). Isolation and Identification of Malassezia Species in the Dandruff of Married Couples. Chinese Journal of Dermatology. 35(5). 369–371. 1 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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