Wah‐Kheong Chan

16.9k citations
112 papers · 3.7k indexed · 2 hit papers · h-index 30

Wah‐Kheong Chan

110 papers receiving 3.6k citations

Hit Papers

Metabolic Dysfunction-Assoc...3312017202620202023100200300

Peers

Wah‐Kheong Chan
Comparison fields: 5 of 115
  • Hepatology 1.4k
  • Epidemiology 2.8k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Gastroenterology 131
  • Pathology and Forensic Medicine 409
Replace Tracey G. Simon with:
Tracey G. Simon United States
Curtis K. Argo United States
Indra Neil Guha United Kingdom
Sanjaya K. Satapathy United States
Takaomi Kessoku Japan
Tobias Goeser Germany
Phunchai Charatcharoenwitthaya Thailand
Yuichiro Eguchi Japan
Gioconda Saccoccio Italy
Nimer Assy Israel
Wah‐Kheong Chan relative to Tracey G. Simon United States Tracey G. Simon's profile →
Citations per field
00.5×1.5×2.0×
Tracey G. Simon · 1×
Citations per year

Countries citing papers authored by Wah‐Kheong Chan

Since Specialization
Citations

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

Fields of papers citing papers by Wah‐Kheong Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wah‐Kheong Chan. 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 Wah‐Kheong Chan. The network helps show where Wah‐Kheong Chan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wah‐Kheong Chan, 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 Wah‐Kheong Chan Line = papers co-authored together Wah‐Kheong Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202418
2 202411
3 202314
4 20237
5 20232
6 202325
7 20233
8 20234
9 20236
10 20223
11 2021105
12 202024
13 202046
14 201922
15
Enteropathy-associated T-cell lymphoma: An extremely rare cause of chronic diarrhoea.
20164
16 201417
17 20129
18 2011101
19
The epidemiology and clinical manifestations of human immunodeficiency virus-associated tuberculosis in Hong Kong.
201012
20
Human papillomavirus-16 and genital cancer: are tests for the viral gene expression in vitro indicators for risk factors in vivo?
19884

About Wah‐Kheong Chan

Wah‐Kheong Chan is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 112 papers that have together received 3.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (83 papers), Liver Disease and Transplantation (32 papers), Liver Diseases and Immunity (26 papers), Diet, Metabolism, and Disease (19 papers), Pancreatitis Pathology and Treatment (13 papers), Alcohol Consumption and Health Effects (12 papers), Hepatitis C virus research (12 papers) and Hepatitis B Virus Studies (10 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (2.8k citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Wah‐Kheong Chan has collaborated with scholars based in Malaysia, Hong Kong and China. Frequent co-authors include Sanjiv Mahadeva, Nik Raihan Nik Mustapha, Khean‐Lee Goh, Vincent Wai‐Sun Wong, Shireene Ratna Vethakkan, Grace Lai–Hung Wong, Seiji Shiota, Yoshio Yamaoka, Kee Huat Chuah and Lee Lee Lai. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gut.

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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