Maria Lai

1.5k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Maria Lai is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Maria Lai has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Maria Lai's work include Retinal Imaging and Analysis (4 papers), Head and Neck Cancer Studies (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Maria Lai is often cited by papers focused on Retinal Imaging and Analysis (4 papers), Head and Neck Cancer Studies (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Maria Lai collaborates with scholars based in Hong Kong, China and Australia. Maria Lai's co-authors include Benny Zee, Anthony T.�C. Chan, Frankie Mo, W. H. Kwan, Sing-Fai Leung, Peter M.L. Teo, K.Y. Cheung, Samuel K.W. Chiu, Ricky Ming-chun Chau and Joyce Suen and has published in prestigious journals such as Journal of Clinical Oncology, The FASEB Journal and International Journal of Environmental Research and Public Health.

In The Last Decade

Maria Lai

17 papers receiving 1.1k citations

Hit Papers

Prospective Randomized Study of Intensity-Modulated Radio... 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Lai Hong Kong 11 725 405 399 372 172 17 1.1k
Lai‐Lei Ting Taiwan 23 575 0.8× 546 1.3× 447 1.1× 425 1.1× 95 0.6× 59 1.3k
Michael Kam Hong Kong 21 1.2k 1.6× 611 1.5× 804 2.0× 673 1.8× 247 1.4× 64 1.8k
Simona Alfonsi Italy 8 385 0.5× 205 0.5× 256 0.6× 276 0.7× 132 0.8× 13 811
Tai‐Lin Huang Taiwan 15 428 0.6× 226 0.6× 225 0.6× 297 0.8× 80 0.5× 50 752
Marie A. Emson United Kingdom 12 1.0k 1.4× 312 0.8× 583 1.5× 810 2.2× 414 2.4× 24 1.6k
Nikhil G. Thaker United States 17 243 0.3× 173 0.4× 222 0.6× 414 1.1× 296 1.7× 70 1.1k
Indranil Mallick India 18 273 0.4× 168 0.4× 238 0.6× 412 1.1× 239 1.4× 88 920
Irene Karam Canada 19 249 0.3× 265 0.7× 157 0.4× 272 0.7× 120 0.7× 96 836
Tom Roques United Kingdom 17 227 0.3× 301 0.7× 205 0.5× 210 0.6× 184 1.1× 43 879
Arturo Navarro-Martín Spain 19 135 0.2× 325 0.8× 196 0.5× 537 1.4× 147 0.9× 68 1.0k

Countries citing papers authored by Maria Lai

Since Specialization
Citations

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

Fields of papers citing papers by Maria Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Lai

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

All Works

17 of 17 papers shown
1.
Chow, James Chung Hang, J. Jack Lee, Maria Lai, et al.. (2024). Multi-domain neurocognitive impairment following definitive intensity-modulated radiotherapy for nasopharyngeal cancer: A cross-sectional study. Radiotherapy and Oncology. 193. 110143–110143. 3 indexed citations
2.
Lai, Maria, et al.. (2023). Lifestyle Changes Reduced Estimated White Matter Hyperintensities Based on Retinal Image Analysis. International Journal of Environmental Research and Public Health. 20(4). 3530–3530. 2 indexed citations
3.
Zee, Benny, Jack Lee, Maria Lai, et al.. (2022). Digital solution for detection of undiagnosed diabetes using machine learning-based retinal image analysis. BMJ Open Diabetes Research & Care. 10(6). e002914–e002914. 8 indexed citations
4.
Zee, Benny, Jack Lee, Yuhua Fan, et al.. (2021). Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images. Brain Communications. 3(3). fcab124–fcab124. 18 indexed citations
5.
Lai, Maria, J. Jack Lee, Sally Chiu, et al.. (2020). A machine learning approach for retinal images analysis as an objective screening method for children with autism spectrum disorder. EClinicalMedicine. 28. 100588–100588. 36 indexed citations
6.
7.
Lau, Alexander Yuk Lun, Vincent Mok, Jack Lee, et al.. (2018). Retinal image analytics detects white matter hyperintensities in healthy adults. Annals of Clinical and Translational Neurology. 6(1). 98–105. 33 indexed citations
8.
Wang, Maggie Haitian, Ka Chun Chong, Maria Lai, et al.. (2017). Estimation of clinical parameters of chronic kidney disease by exhaled breath full-scan mass spectrometry data and iterative PCA with intensity screening algorithm. Journal of Breath Research. 11(3). 36007–36007. 12 indexed citations
9.
Wang, Maggie Haitian, Ka Chun Chong, Malina Storer, et al.. (2016). Use of a least absolute shrinkage and selection operator (LASSO) model to selected ion flow tube mass spectrometry (SIFT-MS) analysis of exhaled breath to predict the efficacy of dialysis: a pilot study. Journal of Breath Research. 10(4). 46004–46004. 12 indexed citations
10.
Zee, Benny, Chi‐Leung Chiang, Conrad Lee, et al.. (2014). Randomized Phase II Study of the X-linked Inhibitor of Apoptosis (XIAP) Antisense AEG35156 in Combination With Sorafenib in Patients With Advanced Hepatocellular Carcinoma (HCC). American Journal of Clinical Oncology. 39(6). 609–613. 42 indexed citations
11.
Lai, Maria, et al.. (2013). Cytotoxic Effects of Manganese in Human Prostate Carcinoma DU145 Cells. The FASEB Journal. 27(S1). 1 indexed citations
12.
Zee, Benny, Philip Wai‐Kay Kwong, Ashley Cheng, et al.. (2012). Randomized phase II study of the x-linked inhibitor of apoptosis (XIAP) antisense AEG35156 in combination with sorafenib in patients with advanced hepatocellular carcinoma (HCC).. Journal of Clinical Oncology. 30(15_suppl). 4105–4105. 7 indexed citations
14.
Kam, Michael K. M., Sing-Fai Leung, Benny Zee, et al.. (2007). Prospective Randomized Study of Intensity-Modulated Radiotherapy on Salivary Gland Function in Early-Stage Nasopharyngeal Carcinoma Patients. Journal of Clinical Oncology. 25(31). 4873–4879. 544 indexed citations breakdown →
15.
Leung, Sing-Fai, Benny Zee, Brigette Ma, et al.. (2006). Plasma Epstein-Barr Viral Deoxyribonucleic Acid Quantitation Complements Tumor-Node-Metastasis Staging Prognostication in Nasopharyngeal Carcinoma. Journal of Clinical Oncology. 24(34). 5414–5418. 263 indexed citations
17.
Chan, Anthony T.�C., Thomas W. T. Leung, W. H. Kwan, et al.. (1998). Phase II study of Temodal in the treatment of patients with advanced nasopharyngeal carcinoma. Cancer Chemotherapy and Pharmacology. 42(3). 247–249. 9 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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