Ben Wang

1.3k total citations · 1 hit paper
59 papers, 766 citations indexed

About

Ben Wang is a scholar working on Dermatology, Epidemiology and Cell Biology. According to data from OpenAlex, Ben Wang has authored 59 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Dermatology, 15 papers in Epidemiology and 13 papers in Cell Biology. Recurrent topics in Ben Wang's work include Acne and Rosacea Treatments and Effects (35 papers), melanin and skin pigmentation (13 papers) and Herpesvirus Infections and Treatments (12 papers). Ben Wang is often cited by papers focused on Acne and Rosacea Treatments and Effects (35 papers), melanin and skin pigmentation (13 papers) and Herpesvirus Infections and Treatments (12 papers). Ben Wang collaborates with scholars based in China, United States and Canada. Ben Wang's co-authors include Ji Li, Zhili Deng, Hongfu Xie, Yiya Zhang, Yan Tang, Wei Shi, Dan Jian, Zhixiang Zhao, Hongfu Xie and Hongfu Xie and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Ben Wang

53 papers receiving 755 citations

Hit Papers

Targeting the STAT3/IL-36... 2024 2026 2024 10 20 30
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. Targeting the STAT3/IL-36G signaling pathway can be a promising approach to treat rosacea
    2024 36 citations Yun Zhong, Yiya Zhang et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Ben Wang 471 176 138 125 102 59 766
Kornélia Kis 324 0.7× 98 0.6× 153 1.1× 95 0.8× 23 0.2× 11 703
Fran Cook-Bolden 1.1k 2.3× 298 1.7× 69 0.5× 121 1.0× 78 0.8× 51 1.2k
Christian Meß 564 1.2× 129 0.7× 64 0.5× 138 1.1× 108 1.1× 21 800
Elyse S. Rafal 647 1.4× 174 1.0× 180 1.3× 143 1.1× 11 0.1× 17 872
Xin Yuan 195 0.4× 69 0.4× 80 0.6× 58 0.5× 56 0.5× 32 482
H. Irving Katz 395 0.8× 197 1.1× 154 1.1× 357 2.9× 42 0.4× 30 938
Electra Nicolaidou 447 0.9× 371 2.1× 113 0.8× 262 2.1× 21 0.2× 80 1.2k
Jonathan Weiss 1.5k 3.1× 529 3.0× 281 2.0× 172 1.4× 57 0.6× 64 1.8k
Shukrallah Zaynoun 389 0.8× 181 1.0× 138 1.0× 166 1.3× 12 0.1× 39 818
Jeong Deuk Lee 425 0.9× 55 0.3× 70 0.5× 139 1.1× 21 0.2× 63 687

Countries citing papers authored by Ben Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ben Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Wang. A scholar is included among the top collaborators of Ben Wang 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 Ben Wang. Ben Wang 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, Ben, et al.. (2025). Fruit Acid Inhibits UV-Induced Skin Aging via PI3K/Akt and NF-κB Pathway Inhibition. Discovery Medicine. 37(192). 193–193. 1 indexed citations
2.
Li, Jichen, Ben Wang, Anqi Zhou, et al.. (2025). The C C motif chemokine ligand 11 contributes to alcoholic liver disease. Life Sciences. 363. 123409–123409. 1 indexed citations
3.
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
4.
Li, Mengfan, Zhao He, Yiya Zhang, et al.. (2025). Pd Icosahedral Nanoparticles Promote Skin Wound Healing by Enhancing SP1-HBEGF Axis-Mediated Keratinocytes Proliferation. International Journal of Nanomedicine. Volume 20. 3067–3081. 2 indexed citations
5.
Duan, Shixin, Guo Li, Yi Chu, et al.. (2025). Arginine Metabolic Disruption Impairs Hair Regeneration via ROS‐Mediated Inactivation of mTOR Signaling in Androgenetic Alopecia. Advanced Science. 12(40). e04579–e04579.
6.
Chen, Mengting, et al.. (2025). Keratin 6A promotes skin inflammation through JAK1-STAT3 activation in keratinocytes. Journal of Biomedical Science. 32(1). 47–47.
7.
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.
8.
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
9.
Meng, Xin, Yangfan Li, Fan Wang, et al.. (2024). Quercetin attenuates inflammation in rosacea by directly targeting p65 and ICAM-1. Life Sciences. 347. 122675–122675. 2 indexed citations
10.
Zhang, Yiya, Tao Li, Han Zhao, et al.. (2024). High-sensitive sensory neurons exacerbate rosacea-like dermatitis in mice by activating γδ T cells directly. Nature Communications. 15(1). 7265–7265. 7 indexed citations
11.
Chen, Peng, Ben Wang, Yan Tang, et al.. (2023). Associations of adherence to Mediterranean-like diet pattern with incident rosacea: A prospective cohort study of government employees in China. Frontiers in Nutrition. 10. 1092781–1092781. 5 indexed citations
12.
Zhang, Yiya, Yingxue Huang, Ben Wang, et al.. (2023). Integrated Omics Reveal the Molecular Characterization and Pathogenic Mechanism of Rosacea. Journal of Investigative Dermatology. 144(1). 33–42.e2. 8 indexed citations
13.
Spiliopoulou, Pavlina, Helena J. Janse van Rensburg, Lisa Avery, et al.. (2023). Longitudinal efficacy and toxicity of SARS-CoV-2 vaccination in cancer patients treated with immunotherapy. Cell Death and Disease. 14(1). 49–49. 3 indexed citations
14.
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
15.
Wang, Ben, Jin Zhang, Guo Li, et al.. (2023). N-acetyltransferase 10 promotes cutaneous wound repair via the NF-κB-IL-6 axis. Cell Death Discovery. 9(1). 324–324. 10 indexed citations
16.
Liu, Dan, et al.. (2022). Integrative bioinformatics analysis to identify the effects of circadian rhythm on Crohn’s disease. Frontiers in Molecular Biosciences. 9. 961481–961481.
17.
Li, Jinglin, et al.. (2020). Epidemiological features of rosacea in Changsha, China: A population‐based, cross‐sectional study. The Journal of Dermatology. 47(5). 497–502. 41 indexed citations
18.
19.
Tang, Yan, Zhili Deng, Ben Wang, et al.. (2016). Mitochondrial aerobic respiration is activated during hair follicle stem cell differentiation, and its dysfunction retards hair regeneration. PeerJ. 4. e1821–e1821. 46 indexed citations
20.
Bowersock, Terry L., et al.. (1998). Induction of pulmonary immunity in cattle by oral administration of ovalbumin in alginate microspheres. Immunology Letters. 60(1). 37–43. 37 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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