Dean Tai

1.9k total citations
42 papers, 953 citations indexed

About

Dean Tai is a scholar working on Epidemiology, Hepatology and Biophysics. According to data from OpenAlex, Dean Tai has authored 42 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 20 papers in Hepatology and 8 papers in Biophysics. Recurrent topics in Dean Tai's work include Liver Disease Diagnosis and Treatment (28 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Dean Tai is often cited by papers focused on Liver Disease Diagnosis and Treatment (28 papers), Hepatocellular Carcinoma Treatment and Prognosis (12 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (6 papers). Dean Tai collaborates with scholars based in United States, Singapore and China. Dean Tai's co-authors include Hanry Yu, Guangfa Xiao, Teck Chuan Lim, Danny van Noort, Yi‐Chin Toh, Shuoyu Xu, Huihuan Tang, Shi Chang, Wanxin Sun and Bruce H. Smaill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Dean Tai

40 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dean Tai United States 13 407 304 257 174 159 42 953
Guangfa Xiao China 10 422 1.0× 97 0.3× 182 0.7× 82 0.5× 263 1.7× 12 819
Cristina Ionica Øie Norway 15 210 0.5× 162 0.5× 193 0.8× 178 1.0× 213 1.3× 25 709
Winnie Wong United States 15 312 0.8× 126 0.4× 106 0.4× 60 0.3× 625 3.9× 25 1.1k
Éric Felli France 14 202 0.5× 92 0.3× 80 0.3× 75 0.4× 46 0.3× 51 578
Christoph Vogt Germany 16 234 0.6× 473 1.6× 419 1.6× 7 0.0× 194 1.2× 19 1.3k
Mike C. L. Wu Australia 14 122 0.3× 75 0.2× 19 0.1× 41 0.2× 268 1.7× 20 974
Vivian Mack United States 10 70 0.2× 80 0.3× 62 0.2× 32 0.2× 172 1.1× 13 527
Thao P. Nguyen United States 22 108 0.3× 101 0.3× 26 0.1× 45 0.3× 731 4.6× 50 1.5k
Wenhao Liu Taiwan 18 141 0.3× 107 0.4× 11 0.0× 183 1.1× 272 1.7× 83 1.1k
Yu Rim Lee South Korea 17 153 0.4× 310 1.0× 231 0.9× 3 0.0× 406 2.6× 78 1.2k

Countries citing papers authored by Dean Tai

Since Specialization
Citations

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

Fields of papers citing papers by Dean Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dean Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Tai. A scholar is included among the top collaborators of Dean Tai 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 Dean Tai. Dean Tai 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.
Harrison, Stephen A., Naim Alkhouri, Grisell Ortiz‐Lasanta, et al.. (2025). A phase IIb randomised-controlled trial of the FFAR1/FFAR4 agonist icosabutate in MASH. Journal of Hepatology. 83(2). 293–303. 4 indexed citations
2.
Ren, Yayun, Jenghwa Chang, Dean Tai, et al.. (2025). Repeatability and Reproducibility of Artificial Imaging-based Digital Pathology for the Evaluation of Liver Fibrosis. Clinical Gastroenterology and Hepatology. 24(3). 713–722. 1 indexed citations
3.
Noureddin, Mazen, et al.. (2025). Development of AI Based Fibrosis Detection Algorithm by SHG / TPEF Microscopy for Fully Quantified Liver Fibrosis Assessment in MASH. Liver International. 45(9). e70258–e70258. 2 indexed citations
4.
Liu, Feng, Yameng Sun, Dean Tai, et al.. (2024). AI Digital Pathology Using qFibrosis Shows Heterogeneity of Fibrosis Regression in Patients with Chronic Hepatitis B and C with Viral Response. Diagnostics. 14(16). 1837–1837. 2 indexed citations
5.
Kendall, Timothy J., Elaine Chng, Yayun Ren, et al.. (2024). Outcome prediction in metabolic dysfunction‐associated steatotic liver disease using stain‐free digital pathological assessment. Liver International. 44(10). 2511–2516. 3 indexed citations
6.
Naoumov, Nikolai V., David E. Kleiner, Elaine Chng, et al.. (2024). Digital quantitation of bridging fibrosis and septa reveals changes in natural history and treatment not seen with conventional histology. Liver International. 44(12). 3214–3228. 4 indexed citations
7.
8.
Ren, Yayun, Yangyang Li, Xinlei Wang, et al.. (2024). AI‐based digital pathology provides newer insights into lifestyle intervention‐induced fibrosis regression in MASLD: An exploratory study. Liver International. 44(10). 2572–2582. 8 indexed citations
9.
Ratziu, Vlad, Marcus Hompesch, Janani Iyer, et al.. (2023). Artificial intelligence-assisted digital pathology for non-alcoholic steatohepatitis: current status and future directions. Journal of Hepatology. 80(2). 335–351. 47 indexed citations
10.
Noureddin, Mazen, Zachary Goodman, Dean Tai, et al.. (2023). Machine learning liver histology scores correlate with portal hypertension assessments in nonalcoholic steatohepatitis cirrhosis. Alimentary Pharmacology & Therapeutics. 57(4). 409–417. 13 indexed citations
11.
Naoumov, Nikolai V., Dominique Brees, Juergen Loeffler, et al.. (2022). Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH. Journal of Hepatology. 77(5). 1399–1409. 72 indexed citations
12.
Noureddin, Mazen, Dean Tai, Elaine Chng, et al.. (2022). Derivation of machine learning histologic scores correlating with portal pressures and the development of varices in NASH patients with cirrhosis. Journal of Hepatology. 77. S623–S624. 1 indexed citations
13.
14.
Xu, Shuoyu, Dean Tai, Peter T. C. So, Hanry Yu, & Jagath C. Rajapakse. (2010). Automated Scoring System for Liver Fibrosis Diagnosis with Second Harmonic Generation Microscopy. 12(2). 2 indexed citations
15.
Xu, Shuoyu, Wanxin Sun, Jianbiao Zhou, et al.. (2010). Pulse-modulated second harmonic imaging microscope quantitatively demonstrates marked increase of collagen in tumor after chemotherapy. Journal of Biomedical Optics. 15(5). 56016–56016. 8 indexed citations
16.
Toh, Yi‐Chin, Teck Chuan Lim, Dean Tai, et al.. (2009). A microfluidic 3D hepatocyte chip for drug toxicity testing. Lab on a Chip. 9(14). 2026–2026. 329 indexed citations
17.
Tai, Dean, Shuoyu Xu, Chee Leong Cheng, et al.. (2009). Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy. Journal of Biomedical Optics. 14(4). 44013–44013. 72 indexed citations
18.
Tai, Dean, Darren Hooks, John D. Harvey, Bruce H. Smaill, & Christian Soeller. (2007). Illumination and fluorescence collection volumes for fiber optic probes in tissue. Journal of Biomedical Optics. 12(3). 34033–34033. 19 indexed citations
19.
Trew, Mark L., Bryan J. Caldwell, Gregory B. Sands, et al.. (2006). Cardiac electrophysiology and tissue structure: bridging the scale gap with a joint measurement and modelling paradigm. Experimental Physiology. 91(2). 355–370. 22 indexed citations
20.
Caldwell, Bryan J., Ian J. LeGrice, Darren Hooks, et al.. (2005). Intramural Measurement of Transmembrane Potential in the Isolated Pig Heart: Validation of a Novel Technique. Journal of Cardiovascular Electrophysiology. 16(9). 1001–1010. 24 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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