Mei-Ling Tsai

1.3k total citations
36 papers, 1.1k citations indexed

About

Mei-Ling Tsai is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Mei-Ling Tsai has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Epidemiology and 8 papers in Cancer Research. Recurrent topics in Mei-Ling Tsai's work include Liver Disease Diagnosis and Treatment (6 papers), NF-κB Signaling Pathways (6 papers) and Liver physiology and pathology (5 papers). Mei-Ling Tsai is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), NF-κB Signaling Pathways (6 papers) and Liver physiology and pathology (5 papers). Mei-Ling Tsai collaborates with scholars based in Taiwan, United States and United Kingdom. Mei-Ling Tsai's co-authors include Chi‐Tang Ho, Min‐Hsiung Pan, Ching‐Shu Lai, Vladimir Badmaev, Ying‐Jan Wang, Jia-Ching Wu, Kalyanam Nagabhushanam, Chih‐Hsiung Wu, Yi‐Shiou Chiou and Rita Loch‐Caruso and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Mei-Ling Tsai

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei-Ling Tsai Taiwan 18 486 141 135 114 109 36 1.1k
Liang Feng China 18 635 1.3× 91 0.6× 68 0.5× 104 0.9× 68 0.6× 89 1.3k
Marzena Wójcik Poland 20 603 1.2× 105 0.7× 148 1.1× 148 1.3× 122 1.1× 56 1.5k
Hari K. Bhat United States 25 790 1.6× 92 0.7× 141 1.0× 94 0.8× 82 0.8× 50 2.1k
Mehtap Kılıç Türkiye 9 471 1.0× 90 0.6× 273 2.0× 157 1.4× 81 0.7× 16 1.3k
Parveen Kumar India 20 458 0.9× 108 0.8× 38 0.3× 68 0.6× 99 0.9× 50 1.3k
Daih‐Huang Kuo Taiwan 21 698 1.4× 83 0.6× 71 0.5× 94 0.8× 51 0.5× 68 1.4k
Yoichi Sunagawa Japan 21 911 1.9× 128 0.9× 63 0.5× 298 2.6× 75 0.7× 94 1.9k
Rana Shafabakhsh Iran 21 783 1.6× 97 0.7× 74 0.5× 122 1.1× 99 0.9× 45 1.6k
Pochuen Shieh Taiwan 19 540 1.1× 72 0.5× 80 0.6× 59 0.5× 49 0.4× 70 1.2k
Hong Jin Lee South Korea 25 799 1.6× 65 0.5× 94 0.7× 84 0.7× 185 1.7× 90 1.7k

Countries citing papers authored by Mei-Ling Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Ling Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Ling Tsai. 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 Mei-Ling Tsai. The network helps show where Mei-Ling Tsai may publish in the future.

Co-authorship network of co-authors of Mei-Ling Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Ling Tsai. A scholar is included among the top collaborators of Mei-Ling Tsai 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 Mei-Ling Tsai. Mei-Ling Tsai 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.
Sun, Peipei, Yu‐Lung Tseng, Chien‐Chia Chen, et al.. (2024). Hepatoprotective effect of MUFA-enriched refined Greenland halibut fin oil to inhibit hepatic fibrosis in carbon tetrachloride-induced mice. Food Bioscience. 62. 105475–105475. 1 indexed citations
2.
Wang, Yu‐Hsiang, et al.. (2020). Enzyme-Assisted Aqueous Extraction of Cobia Liver Oil and Protein Hydrolysates with Antioxidant Activity. Catalysts. 10(11). 1323–1323. 17 indexed citations
3.
4.
Hong, Tse‐Ming, Shuenn-Chen Yang, Mei-Ling Tsai, et al.. (2019). 4(1H)-quinolone derivatives overcome acquired resistance to anti-microtubule agents by targeting the colchicine site of β-tubulin. European Journal of Medicinal Chemistry. 181. 111584–111584. 12 indexed citations
5.
Wu, Jia-Ching, Ching‐Shu Lai, Mei-Ling Tsai, et al.. (2016). Chemopreventive effect of natural dietary compounds on xenobiotic-induced toxicity. Journal of Food and Drug Analysis. 25(1). 176–186. 47 indexed citations
6.
Tung, Yen‐Chen, Mei-Ling Tsai, Ching‐Shu Lai, et al.. (2015). Se-Methyl-l-selenocysteine Induces Apoptosis via Endoplasmic Reticulum Stress and the Death Receptor Pathway in Human Colon Adenocarcinoma COLO 205 Cells. Journal of Agricultural and Food Chemistry. 63(20). 5008–5016. 28 indexed citations
7.
Tsai, Mei-Ling, et al.. (2012). Evidence for Mitoxantrone-induced Block of Inwardly Rectifying K+Channels Expressed in the Osteoclast Precursor RAW 264.7 Cells Differentiated with Lipopolysaccharide. Cellular Physiology and Biochemistry. 30(3). 687–701. 11 indexed citations
8.
9.
Tsai, Mei-Ling, et al.. (2012). Phyto-power dietary supplement potently inhibits dimethylnitrosamine-induced liver fibrosis in rats. Food & Function. 4(3). 470–470. 8 indexed citations
10.
Tsai, Mei-Ling, et al.. (2012). Pterostilbene inhibits dimethylnitrosamine-induced liver fibrosis in rats. Food Chemistry. 138(2-3). 802–807. 42 indexed citations
11.
Lai, Ching‐Shu, et al.. (2012). Xanthigen Suppresses Preadipocyte Differentiation and Adipogenesis through Down-regulation of PPARγ and C/EBPs and Modulation of SIRT-1, AMPK, and FoxO Pathways. Journal of Agricultural and Food Chemistry. 60(4). 1094–1101. 90 indexed citations
12.
Wu, Sheng‐Nan, et al.. (2011). Investigations into the Correlation Properties of Membrane Electroporation-Induced Inward Currents: Prediction of Pore Formation. Cell Biochemistry and Biophysics. 62(1). 211–220. 9 indexed citations
13.
14.
Tsai, Mei-Ling, et al.. (2011). Quantitative shot-gun proteomics and MS-based activity assay for revealing gender differences in enzyme contents for rat liver microsome. Journal of Proteomics. 74(12). 2734–2744. 23 indexed citations
15.
Sung, R J, et al.. (2009). Enhancement of Vascular Formation But Not Improvement of Ventricular Function of Infarcted Rat Hearts by a High Dose of Adenovirus-Carried VEGF Transgene. The Chinese Journal of Physiology. 52(5 (Supplement)). 384–394. 2 indexed citations
16.
Chang, Chih‐Ching, et al.. (2005). The Induction of Vascular Endothelial Growth Factor by Ultrafine Carbon Black Contributes to the Increase of Alveolar-Capillary Permeability. Environmental Health Perspectives. 113(4). 454–460. 18 indexed citations
17.
Chang, Chih‐Ching, et al.. (2004). Induction of VE-cadherin in rat placental trophoblasts by VEGF through a NO-dependent pathway. Placenta. 26(2-3). 234–241. 10 indexed citations
18.
Lin, Chyi-Her, et al.. (2001). Effect of antenatal dexamethasone on the expression of endothelial nitric oxide synthase in the lungs of postnatal pups. Seminars in Perinatology. 25(2). 94–99. 4 indexed citations
19.
Tsai, Mei-Ling, et al.. (1998). Acute Inhibition of Spontaneous Uterine Contractions by an Estrogenic Polychlorinated Biphenyl Is Associated with Disruption of Gap Junctional Communication. Toxicology and Applied Pharmacology. 152(1). 18–29. 17 indexed citations
20.
Tsai, Mei-Ling, R. Clinton Webb, & Rita Loch‐Caruso. (1996). Congener-specific effects of pcbs on contractions of pregnant rat uteri. Reproductive Toxicology. 10(1). 21–28. 35 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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