Jai‐Sing Yang

15.6k total citations
344 papers, 13.3k citations indexed

About

Jai‐Sing Yang is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Jai‐Sing Yang has authored 344 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Molecular Biology, 55 papers in Pharmacology and 51 papers in Plant Science. Recurrent topics in Jai‐Sing Yang's work include Cell death mechanisms and regulation (47 papers), Genomics, phytochemicals, and oxidative stress (34 papers) and Bioactive Compounds and Antitumor Agents (30 papers). Jai‐Sing Yang is often cited by papers focused on Cell death mechanisms and regulation (47 papers), Genomics, phytochemicals, and oxidative stress (34 papers) and Bioactive Compounds and Antitumor Agents (30 papers). Jai‐Sing Yang collaborates with scholars based in Taiwan, United States and Japan. Jai‐Sing Yang's co-authors include Jing‐Gung Chung, Chi‐Cheng Lu, Jo‐Hua Chiang, Kuang‐Chi Lai, Yuan‐Man Hsu, Jing-Pin Lin, Hsu-Feng Lu, Fuu‐Jen Tsai, Chao-Lin Kuo and Yu‐Jen Chiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jai‐Sing Yang

333 papers receiving 13.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jai‐Sing Yang Taiwan 64 7.3k 2.1k 1.9k 1.8k 1.6k 344 13.3k
Anupam Bishayee United States 79 9.5k 1.3× 1.8k 0.9× 2.7k 1.4× 2.3k 1.3× 2.3k 1.4× 312 20.2k
Bokyung Sung United States 63 7.6k 1.0× 2.0k 1.0× 1.4k 0.8× 1.9k 1.0× 2.6k 1.7× 157 16.3k
Taeg Kyu Kwon South Korea 62 7.3k 1.0× 1.4k 0.7× 993 0.5× 1.7k 0.9× 1.7k 1.1× 398 13.4k
Jing‐Gung Chung Taiwan 69 10.4k 1.4× 3.2k 1.5× 3.5k 1.9× 2.7k 1.5× 2.0k 1.3× 550 18.8k
Ah‐Ng Tony Kong United States 77 13.0k 1.8× 1.1k 0.5× 1.8k 1.0× 1.7k 0.9× 1.2k 0.8× 247 19.2k
Takuji Tanaka Japan 65 6.6k 0.9× 1.7k 0.8× 1.9k 1.0× 2.4k 1.4× 2.4k 1.5× 409 14.7k
Marc Diederich Luxembourg 65 6.8k 0.9× 1.9k 0.9× 1.1k 0.6× 1.2k 0.7× 1.4k 0.9× 278 13.0k
Kwang Seok Ahn South Korea 77 10.5k 1.4× 1.9k 0.9× 1.8k 1.0× 3.1k 1.7× 3.7k 2.3× 361 19.0k
Sang Kook Lee South Korea 56 6.5k 0.9× 2.1k 1.0× 1.7k 0.9× 1.6k 0.9× 1.3k 0.8× 434 13.0k
Rajesh Agarwal United States 82 10.5k 1.4× 3.5k 1.7× 2.4k 1.3× 2.4k 1.3× 2.4k 1.5× 393 20.4k

Countries citing papers authored by Jai‐Sing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jai‐Sing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jai‐Sing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jai‐Sing Yang. A scholar is included among the top collaborators of Jai‐Sing 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 Jai‐Sing Yang. Jai‐Sing 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
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Lin, Ying-Ju, Chikashi Terao, Yuwen Wang, et al.. (2024). The enome-wide ssociation tudy of erum IgE evels emonstrated a hared enetic ackground in llergic iseases. Clinical Immunology. 260. 109897–109897. 6 indexed citations
4.
Lin, Ying-Ju, Cherry Yin‐Yi Chang, Wen‐Miin Liang, et al.. (2024). Menarche—a journey into womanhood: age at menarche and health-related outcomes in East Asians. Human Reproduction. 39(6). 1336–1350. 3 indexed citations
5.
Bau, Da‐Tian, Chia‐Wen Tsai, WEN-SHIN CHANG, et al.. (2024). Genetic susceptibility to prostate cancer in Taiwan: A genome‐wide association study. Molecular Carcinogenesis. 63(4). 617–628. 8 indexed citations
6.
Chiu, Hong‐Yi, Shih‐Chang Tsai, Fuu‐Jen Tsai, et al.. (2023). Liraglutide With Metformin Therapy Ameliorates Hepatic Steatosis and Liver Injury in a Mouse Model of Non-alcoholic Steatohepatitis. In Vivo. 37(3). 1037–1046. 5 indexed citations
7.
Bau, Da‐Tian, Ting‐Yuan Liu, Chia-Wen Tsai, et al.. (2023). A Genome-Wide Association Study Identified Novel Genetic Susceptibility Loci for Oral Cancer in Taiwan. International Journal of Molecular Sciences. 24(3). 2789–2789. 7 indexed citations
8.
Hsu, Pei‐Chen, Chao‐Chun Chen, Jai‐Sing Yang, et al.. (2021). Significant Association ofCCND1Genotypes With Susceptibility to Childhood Acute Lymphoblastic Leukemia. Anticancer Research. 41(10). 4801–4806. 6 indexed citations
9.
Ma, Yi‐Shih, Shu‐Chun Hsu, Jai‐Sing Yang, et al.. (2013). Crude extract of Rheum palmatum L induced cell death in LS1034 human colon cancer cells acts through the caspase‐dependent and ‐independent pathways. Environmental Toxicology. 29(9). 969–980. 20 indexed citations
10.
Ma, Yi-Shih, Shu-Wen Weng, Meng-Wei Lin, et al.. (2012). Antitumor effects of emodin on LS1034 human colon cancer cells in vitro and in vivo: Roles of apoptotic cell death and LS1034 tumor xenografts model. Food and Chemical Toxicology. 50(5). 1271–1278. 112 indexed citations
11.
Liao, Ching-Lung, Kuang‐Chi Lai, An-Cheng Huang, et al.. (2012). Gallic acid inhibits migration and invasion in human osteosarcoma U-2 OS cells through suppressing the matrix metalloproteinase-2/-9, protein kinase B (PKB) and PKC signaling pathways. Food and Chemical Toxicology. 50(5). 1734–1740. 111 indexed citations
12.
Ji, Bin‐Chuan, CHIEN-CHIH YU, Te‐Chun Hsia, et al.. (2012). Induction of DNA damage by deguelin is mediated through reducing DNA repair genes in human non-small cell lung cancer NCI-H460 cells. Oncology Reports. 27(4). 959–964. 34 indexed citations
13.
Yang, Jai‐Sing, Shu‐Jen Chang, Kung-Wen Lu, et al.. (2009). Ganoderma lucidumExtracts Inhibited Leukemia WEHI-3 Cells in BALB/c Mice and Promoted an Immune Responsein Vivo. Bioscience Biotechnology and Biochemistry. 73(12). 2589–2594. 35 indexed citations
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Chang, Kyung-Hwa, et al.. (2002). Production of recombinant rotavirus capsid protein VP7 from stably transformed Drosophila melanogaster S2 cells. Journal of Microbiology and Biotechnology. 12(4). 563–568. 4 indexed citations
16.
Cho, Young-Keol, et al.. (1999). Molecular Phylogenetic Analysis of Human Immunodeficiency Virus Type 1 Strains Obtained from Korean Patients: env Gene Sequences. AIDS Research and Human Retroviruses. 15(3). 303–307. 20 indexed citations
17.
Park, Seung-Kook, et al.. (1998). Secretory Production of Biologically Active Human Thrombopoietin by Baculovirus Expression System. BMB Reports. 31(5). 453–458. 1 indexed citations
18.
Kim, Han Jo & Jai‐Sing Yang. (1996). Analysis of Fusogenic Activity of autographa californica Nuclear Polyhedrosis Virus (AcNPV) gp64 Envelope Glycoprotein. The Journal of Microbiology. 34(1). 7–14. 1 indexed citations
19.
Yang, Jai‐Sing, et al.. (1994). Improved Recombinant β-Galactosidase Production Using medium Additives at AcNPV Infection of Insect Cells in Batch and Continuous Two-Stage Bioreactors. KSBB Journal. 9(3). 294–298.
20.
Chung, In‐Sik, et al.. (1994). Insect Cell Culture for Recombinant $\beta$-galactosidase Production Using a Spin-filter Bioreactor. Journal of Microbiology and Biotechnology. 4(3). 200–203. 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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