Yu‐Ning Juan

430 total citations
11 papers, 245 citations indexed

About

Yu‐Ning Juan is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Yu‐Ning Juan has authored 11 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Yu‐Ning Juan's work include Andrographolide Research and Applications (2 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Yu‐Ning Juan is often cited by papers focused on Andrographolide Research and Applications (2 papers), COVID-19 Clinical Research Studies (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). Yu‐Ning Juan collaborates with scholars based in Taiwan and Vietnam. Yu‐Ning Juan's co-authors include Jai‐Sing Yang, Fuu‐Jen Tsai, Jo‐Hua Chiang, Hong‐Yi Chiu, Chi‐Cheng Lu, Yuan‐Man Hsu, Yu‐Jen Chiu, DA-TIAN BAU, Shih‐Chang Tsai and Sheng‐Chu Kuo and has published in prestigious journals such as International Journal of Oncology, International Journal of Molecular Medicine and Oncology Reports.

In The Last Decade

Yu‐Ning Juan

11 papers receiving 243 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Ning Juan Taiwan 9 108 36 31 29 27 11 245
Ilse R. Dubbelboer Sweden 11 87 0.8× 52 1.4× 30 1.0× 28 1.0× 19 0.7× 20 329
Swarnendu Bag India 12 123 1.1× 53 1.5× 29 0.9× 35 1.2× 16 0.6× 31 445
Ling Ning China 12 133 1.2× 25 0.7× 32 1.0× 17 0.6× 52 1.9× 20 334
Ju-Pi Li Taiwan 10 75 0.7× 21 0.6× 38 1.2× 22 0.8× 28 1.0× 12 281
Shaghayegh Norouzi Australia 10 87 0.8× 33 0.9× 29 0.9× 14 0.5× 49 1.8× 14 338
Chaohui Duan China 11 125 1.2× 35 1.0× 42 1.4× 14 0.5× 40 1.5× 33 338
Jianyuan Tang China 11 163 1.5× 40 1.1× 30 1.0× 32 1.1× 22 0.8× 24 326

Countries citing papers authored by Yu‐Ning Juan

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ning Juan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Ning Juan. 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 Yu‐Ning Juan. The network helps show where Yu‐Ning Juan may publish in the future.

Co-authorship network of co-authors of Yu‐Ning Juan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Ning Juan. A scholar is included among the top collaborators of Yu‐Ning Juan 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 Yu‐Ning Juan. Yu‐Ning Juan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Cheng, Yih‐Dih, Chi‐Cheng Lu, Yuan‐Man Hsu, et al.. (2022). In silico and in vitro studies of Taiwan Chingguan Yihau (NRICM101) on TNF-α/IL-1β-induced Human Lung Cells. Biomedicine. 12(3). 56–71. 13 indexed citations
3.
Chiu, Yu‐Jen, Jai‐Sing Yang, Fuu‐Jen Tsai, et al.. (2022). Curcumin suppresses cell proliferation and triggers apoptosis in vemurafenib‐resistant melanoma cells by downregulating the EGFR signaling pathway. Environmental Toxicology. 37(4). 868–879. 30 indexed citations
4.
Chiu, Yu‐Jen, Jo‐Hua Chiang, Mann‐Jen Hour, et al.. (2021). Analysis of COVID-19 prevention and treatment in Taiwan (Review). Biomedicine. 11(1). 1–18. 18 indexed citations
5.
Lu, Chi‐Cheng, Jai‐Sing Yang, Yu‐Jen Chiu, et al.. (2021). Dracorhodin perchlorate enhances wound healing via β‑catenin, ERK/p38, and AKT signaling in human HaCaT keratinocytes. Experimental and Therapeutic Medicine. 22(2). 822–822. 18 indexed citations
6.
Tsai, Shih‐Chang, Chi‐Cheng Lu, DA-TIAN BAU, et al.. (2020). Approaches towards fighting the COVID‑19 pandemic (Review). International Journal of Molecular Medicine. 47(1). 3–22. 45 indexed citations
7.
Chiang, Jo‐Hua, Fuu‐Jen Tsai, DA-TIAN BAU, et al.. (2020). Novel quinazolinone MJ‑33 induces AKT/mTOR‑mediated autophagy‑associated apoptosis in 5FU‑resistant colorectal cancer cells. Oncology Reports. 45(2). 680–692. 28 indexed citations
8.
Lu, Chi‐Cheng, Jo‐Hua Chiang, Fuu‐Jen Tsai, et al.. (2019). Metformin triggers the intrinsic apoptotic response in human AGS gastric adenocarcinoma cells by activating AMPK and suppressing mTOR/AKT signaling. International Journal of Oncology. 54(4). 1271–1281. 63 indexed citations
9.
Lu, Chi‐Cheng, Wen‐Kang Chen, Jo‐Hua Chiang, et al.. (2018). cDNA Microarray Analysis and Influx Transporter OATP1B1 in Liver Cells After Exposure to Gadoxetate Disodium, a Gadolinium-based Contrast Agent in MRI Liver Imaging. In Vivo. 32(3). 677–684. 2 indexed citations
10.
Lu, Chi‐Cheng, Yng‐Tay Chen, Shih‐Yin Chen, et al.. (2018). Hematopoietically expressed homeobox gene is associated with type 2 diabetes in KK Cg‑Ay/J mice and a Taiwanese Han Chinese population. Experimental and Therapeutic Medicine. 16(1). 185–191. 8 indexed citations
11.
Chen, Chin‐Fu, Jai‐Sing Yang, Wen‐Kang Chen, et al.. (2018). Ursolic acid elicits intrinsic apoptotic machinery by downregulating the phosphorylation of AKT/BAD signaling in human cisplatin‑resistant oral cancer CAR cells. Oncology Reports. 40(3). 1752–1760. 18 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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