Grace Lai–Hung Wong

43.6k citations
556 papers · 27.2k indexed · 14 hit papers · h-index 90

Grace Lai–Hung Wong

526 papers receiving 26.6k citations

Hit Papers

EASL ...3320092026201420202505007501000

Peers

Grace Lai–Hung Wong
Comparison fields: 5 of 196
  • Hepatology 14.1k
  • Epidemiology 20.2k
  • Endocrinology, Diabetes and Metabolism 4.3k
  • Gastroenterology 1.0k
  • Pathology and Forensic Medicine 2.0k
Replace Henry Lik‐Yuen Chan with:
Henry Lik‐Yuen Chan Hong Kong
Patrick S. Kamath United States
Siddharth Singh United States
James E. Everhart United States
Andrew K. Burroughs United Kingdom
Anna S. Lok United States
Amit G. Singal United States
Jorge A. Marrero United States
Hashem B. El‐Serag United States
Simon D. Taylor‐Robinson United Kingdom
Grace Lai–Hung Wong relative to Henry Lik‐Yuen Chan Hong Kong Henry Lik‐Yuen Chan's profile →
Citations per field
00.5×2.7×
Henry Lik‐Yuen Chan · 1×
Citations per year

Countries citing papers authored by Grace Lai–Hung Wong

Since Specialization
Citations

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

Fields of papers citing papers by Grace Lai–Hung Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace Lai–Hung Wong. 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 Grace Lai–Hung Wong. The network helps show where Grace Lai–Hung Wong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Grace Lai–Hung Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Grace Lai–Hung Wong Line = papers co-authored together Grace Lai–Hung Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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5 20243
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8 20239
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12 20235
13 202139
14 20205
15 20195
16 201854
17 2016147
18 2015110
19 201521
20 20058

About Grace Lai–Hung Wong

Grace Lai–Hung Wong is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 556 papers that have together received 27.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (333 papers), Hepatitis B Virus Studies (210 papers), Hepatitis C virus research (195 papers), Liver Disease and Transplantation (84 papers), Liver Diseases and Immunity (42 papers), Hepatocellular Carcinoma Treatment and Prognosis (38 papers), Diet, Metabolism, and Disease (27 papers) and Hepatitis Viruses Studies and Epidemiology (23 papers). The work is most often cited by research in Hepatology (14.1k citations), Epidemiology (20.2k citations) and Endocrinology, Diabetes and Metabolism (4.3k citations). Grace Lai–Hung Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Vincent Wai‐Sun Wong, Henry Lik‐Yuen Chan, Joseph J.�Y. Sung, Anthony W.H. Chan, Angel Mei–Ling Chim, Terry Cheuk‐Fung Yip, Paul Cheung‐Lung Choi, Francis K.L. Chan, Chiu‐Wing Winnie Chu and Yee‐Kit Tse. Their work appears in journals such as Journal of Hepatology, Alimentary Pharmacology & Therapeutics, Journal of Gastroenterology and Hepatology, Clinical Gastroenterology and Hepatology and Hepatology.

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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