Jen‐Hung Yang

2.1k total citations
50 papers, 1.6k citations indexed

About

Jen‐Hung Yang is a scholar working on Molecular Biology, Dermatology and Epidemiology. According to data from OpenAlex, Jen‐Hung Yang has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Dermatology and 8 papers in Epidemiology. Recurrent topics in Jen‐Hung Yang's work include Skin Protection and Aging (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Cell death mechanisms and regulation (4 papers). Jen‐Hung Yang is often cited by papers focused on Skin Protection and Aging (7 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Cell death mechanisms and regulation (4 papers). Jen‐Hung Yang collaborates with scholars based in Taiwan, United States and Netherlands. Jen‐Hung Yang's co-authors include Jing‐Gung Chung, Sheau‐Chung Tang, Yau‐Huei Wei, Lee‐Yan Sheen, Yu-Ping Hsiao, Hsin‐Chen Lee, Chi‐Chung Chou, Hsiu‐Maan Kuo, Jai‐Sing Yang and Yu‐Ping Hsiao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Biochemical Journal.

In The Last Decade

Jen‐Hung Yang

50 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jen‐Hung Yang Taiwan 23 632 275 251 154 125 50 1.6k
Eun‐Ju Choi South Korea 26 681 1.1× 221 0.8× 251 1.0× 185 1.2× 66 0.5× 108 2.0k
Alessandra Lourenço Cecchini Brazil 26 702 1.1× 177 0.6× 130 0.5× 107 0.7× 108 0.9× 72 2.1k
Yosra S.R. Elnaggar Egypt 32 740 1.2× 173 0.6× 162 0.6× 243 1.6× 70 0.6× 60 3.0k
Emanuela Maioli Italy 22 602 1.0× 249 0.9× 103 0.4× 170 1.1× 50 0.4× 61 1.7k
Ute Wölfle Germany 25 593 0.9× 526 1.9× 416 1.7× 138 0.9× 81 0.6× 53 2.1k
Tse‐Hung Huang Taiwan 23 761 1.2× 188 0.7× 123 0.5× 135 0.9× 68 0.5× 83 2.2k
Miwon Son South Korea 26 448 0.7× 114 0.4× 138 0.5× 159 1.0× 48 0.4× 78 1.7k
Marjan Ajami Iran 23 444 0.7× 72 0.3× 313 1.2× 113 0.7× 190 1.5× 81 1.9k
Barbara C. Pence United States 24 551 0.9× 197 0.7× 108 0.4× 144 0.9× 297 2.4× 53 2.0k
Jae Seung Kang South Korea 30 633 1.0× 197 0.7× 153 0.6× 67 0.4× 333 2.7× 97 2.3k

Countries citing papers authored by Jen‐Hung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jen‐Hung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jen‐Hung Yang. 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 Jen‐Hung Yang. The network helps show where Jen‐Hung Yang may publish in the future.

Co-authorship network of co-authors of Jen‐Hung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jen‐Hung Yang. A scholar is included among the top collaborators of Jen‐Hung Yang 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 Jen‐Hung Yang. Jen‐Hung Yang 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.
Soemantri, Diantha, Indika Karunathilake, Jen‐Hung Yang, et al.. (2020). Admission policies and methods at crossroads: a review of medical school admission policies and methods in seven Asian countries. SHILAP Revista de lepidopterología. 32(3). 243–256. 10 indexed citations
2.
Yang, Chiu-Fen, Chin‐Hung Liu, Yu‐Chih Chen, et al.. (2020). Eating right for a healthier heart: Food choice contributes to cardiometabolic benefits and reduction of carotid intima-media thickness. Nutrition. 78. 110892–110892. 3 indexed citations
3.
4.
5.
Yeh, Jih‐I, et al.. (2016). Glycolic Acid Silences Inflammasome Complex Genes, NLRC4 and ASC , by Inducing DNA Methylation in HaCaT Cells. DNA and Cell Biology. 35(3). 124–134. 14 indexed citations
6.
Lee, Chien‐Ying, et al.. (2016). Hair growth effect of traditional Chinese medicine BeauTop on androgenetic alopecia patients: A randomized double-blind placebo-controlled clinical trial. Experimental and Therapeutic Medicine. 13(1). 194–202. 3 indexed citations
7.
Huang, Chien‐Ning, et al.. (2013). Perceptions on gender awareness and considerations in career choices of medical students in a medical school in Taiwan. The Kaohsiung Journal of Medical Sciences. 29(11). 629–635. 12 indexed citations
8.
Lee, Horng‐Mo, et al.. (2013). Risk of musculoskeletal disorder among Taiwanese nurses cohort: a nationwide population-based study. BMC Musculoskeletal Disorders. 14(1). 144–144. 71 indexed citations
9.
Hsieh, Shu‐Chen, et al.. (2012). Diallyl Trisulfide Induces Apoptosis of Human Basal Cell Carcinoma Cells via Endoplasmic Reticulum Stress and the Mitochondrial Pathway. Nutrition and Cancer. 64(5). 770–780. 29 indexed citations
10.
Hsiao, Yu-Ping, et al.. (2011). Synergistic phototoxic effects of glycolic acid in a human keratinocyte cell line (HaCaT). Journal of Dermatological Science. 64(3). 191–198. 25 indexed citations
11.
Yang, Jen‐Hung, et al.. (2010). A comparative study of cutaneous manifestations of hyperandrogenism in obese and non-obese Taiwanese women. Archives of Gynecology and Obstetrics. 282(3). 327–333. 16 indexed citations
12.
Hsiao, Yu‐Ping, et al.. (2009). Photo-Induced Sarcoidosis. 27(3). 192–195. 2 indexed citations
13.
Hsiao, Yu-Ping, et al.. (2009). Antiproliferative effects of lactic acid via the induction of apoptosis and cell cycle arrest in a human keratinocyte cell line (HaCaT). Journal of Dermatological Science. 54(3). 175–184. 30 indexed citations
14.
Hsiao, Yu‐Ping, et al.. (2008). Pachydermodactyly-A Case Report. 26(4). 248–251. 2 indexed citations
15.
Lin, Hui-Ju, Jen‐Hung Yang, Jai‐Sing Yang, et al.. (2008). Baicalein-Induced Apoptosis via Endoplasmic Reticulum Stress Through Elevations of Reactive Oxygen Species and Mitochondria Dependent Pathway in Mouse–Rat Hybrid Retina Ganglion Cells (N18). Neurochemical Research. 34(3). 418–429. 29 indexed citations
16.
Yang, Jai‐Sing, et al.. (2006). The Role of Ca2+ on the DADS-induced Apoptosis in Mouse–Rat Hybrid Retina Ganglion Cells (N18). Neurochemical Research. 31(3). 383–393. 35 indexed citations
17.
Lin, Shuw-Yuan, Chi‐Chung Chou, Hsiu‐Maan Kuo, et al.. (2006). Sodium ascorbate inhibits growth via the induction of cell cycle arrest and apoptosis in human malignant melanoma A375.S2 cells. Melanoma Research. 16(6). 509–519. 60 indexed citations
18.
Chou, Chi‐Chung, et al.. (2006). Expression Profiling of Human Epidermal Keratinocyte Response Following 1-Minute JP-8 Exposure. Cutaneous and Ocular Toxicology. 25(2). 141–153. 4 indexed citations
19.
Lin, Shuw-Yuan, Jen‐Hung Yang, Te‐Chun Hsia, et al.. (2005). Effect of inhibition of aloe-emodin on N-acetyltransferase activity and gene expression in human malignant melanoma cells (A375.S2). Melanoma Research. 15(6). 489–494. 17 indexed citations
20.
Yang, Jen‐Hung, Hsin‐Chen Lee, Kui Lin, & Yau‐Huei Wei. (1994). A specific 4977-bp deletion of mitochondrial DNA in human ageing skin. Archives of Dermatological Research. 286(7). 386–390. 61 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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