Liz Sin Li

1.0k total citations
9 papers, 763 citations indexed

About

Liz Sin Li is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health and Obstetrics and Gynecology. According to data from OpenAlex, Liz Sin Li has authored 9 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 3 papers in Pediatrics, Perinatology and Child Health and 3 papers in Obstetrics and Gynecology. Recurrent topics in Liz Sin Li's work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (3 papers) and Diet, Metabolism, and Disease (3 papers). Liz Sin Li is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (3 papers) and Diet, Metabolism, and Disease (3 papers). Liz Sin Li collaborates with scholars based in Hong Kong, China and Ireland. Liz Sin Li's co-authors include Ruth Chan, Jean Woo, Vincent Wai‐Sun Wong, Chiu‐Wing Winnie Chu, Henry Lik‐Yuen Chan, Grace Lai–Hung Wong, Angel Mei–Ling Chim, Bernice Cheung, David Ka‐Wai Yeung and Mandy Man-Mei Sea and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Hepatology.

In The Last Decade

Liz Sin Li

9 papers receiving 754 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liz Sin Li Hong Kong	8	660	413	210	203	115	9	763
Nicholas Chien United States	6	591 0.9×	283 0.7×	96 0.5×	232 1.1×	144 1.3×	11	678
Erin Hallinan United States	5	677 1.0×	213 0.5×	114 0.5×	425 2.1×	64 0.6×	6	826
Mary Ann Huang United States	9	559 0.8×	266 0.6×	98 0.5×	337 1.7×	83 0.7×	12	729
Jingxuan Quek Singapore	9	383 0.6×	179 0.4×	80 0.4×	156 0.8×	77 0.7×	20	550
Amanda Cheung United States	9	435 0.7×	179 0.4×	81 0.4×	209 1.0×	94 0.8×	29	557
Kim Pfotenhauer United States	7	463 0.7×	213 0.5×	57 0.3×	228 1.1×	99 0.9×	13	617
Ylse Gutiérrez-Grobe Mexico	12	357 0.5×	161 0.4×	75 0.4×	122 0.6×	79 0.7×	26	513
Alberto Premoli Italy	10	558 0.8×	134 0.3×	76 0.4×	331 1.6×	41 0.4×	23	679
Valerio Nobili Italy	9	311 0.5×	199 0.5×	95 0.5×	82 0.4×	35 0.3×	9	405
Young Ju Choi South Korea	15	242 0.4×	187 0.5×	118 0.6×	40 0.2×	34 0.3×	34	530

Countries citing papers authored by Liz Sin Li

Since Specialization

Citations

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

Fields of papers citing papers by Liz Sin Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liz Sin Li. 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 Liz Sin Li. The network helps show where Liz Sin Li may publish in the future.

Co-authorship network of co-authors of Liz Sin Li

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

All Works

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9 of 9 papers shown

Chan, Ruth, et al.. (2022). Dietary patterns of Chinese pregnant women in Hong Kong.. PubMed. 31(3). 378–393. 3 indexed citations

Lu, Z.P., Kenneth Lo, Danyue Zhao, et al.. (2022). Carotenoids and Vitamin A in Breastmilk of Hong Kong Lactating Mothers and Their Relationships with Maternal Diet. Nutrients. 14(10). 2031–2031. 7 indexed citations

Chan, Ruth, Liz Sin Li, Fionnuala M. McAuliffe, et al.. (2020). Evaluation of dietary pattern in early pregnancy using the FIGO Nutrition Checklist compared to a food frequency questionnaire. International Journal of Gynecology & Obstetrics. 151(S1). 37–44. 18 indexed citations

Wong, Vincent Wai‐Sun, Grace Lai–Hung Wong, Ruth Chan, et al.. (2018). Beneficial effects of lifestyle intervention in non-obese patients with non-alcoholic fatty liver disease. Journal of Hepatology. 69(6). 1349–1356. 211 indexed citations

Chan, Ruth, et al.. (2018). Randomized trial examining effectiveness of lifestyle intervention in reducing gestational diabetes in high risk Chinese pregnant women in Hong Kong. Scientific Reports. 8(1). 13849–13849. 24 indexed citations

Chan, Ruth, Vincent Wai‐Sun Wong, Chiu‐Wing Winnie Chu, et al.. (2015). Higher Estimated Net Endogenous Acid Production May Be Associated with Increased Prevalence of Nonalcoholic Fatty Liver Disease in Chinese Adults in Hong Kong. PLoS ONE. 10(4). e0122406–e0122406. 35 indexed citations

Chan, Ruth, Vincent Wai‐Sun Wong, Chiu‐Wing Winnie Chu, et al.. (2015). Diet-Quality Scores and Prevalence of Nonalcoholic Fatty Liver Disease: A Population Study Using Proton-Magnetic Resonance Spectroscopy. PLoS ONE. 10(9). e0139310–e0139310. 86 indexed citations

Shen, Jiayun, Grace Lai–Hung Wong, Henry Lik‐Yuen Chan, et al.. (2014). PNPLA3 gene polymorphism and response to lifestyle modification in patients with nonalcoholic fatty liver disease. Journal of Gastroenterology and Hepatology. 30(1). 139–146. 129 indexed citations

Wong, Vincent Wai‐Sun, Ruth Chan, Grace Lai–Hung Wong, et al.. (2013). Community-based lifestyle modification programme for non-alcoholic fatty liver disease: A randomized controlled trial. Journal of Hepatology. 59(3). 536–542. 250 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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