Yip Han Chin

5.2k citations
91 papers · 1.9k · 1 hit paper · h-index 26

Impact in

Papers in

Yip Han Chin

85 papers receiving 1.9k citations

Yip Han Chin's Hit Papers

An Observational Data Meta-analysis on the Differences in Prevalence and Risk Factors Between MAFLD vs NAFLD 2021 · 175 citations
1750+1+3Years since publication50100150

Peers

Yip Han Chin
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 342
  • Epidemiology 615
  • Hepatology 103
  • Cardiology and Cardiovascular Medicine 222
  • Pathology and Forensic Medicine 157
Replace Jasjeet Singh Wasir with:
Jasjeet Singh Wasir India
Elias Khajeh Germany
Rahul Kumar Singapore
Christina M. Parrinello United States
Khawar Kazmi Pakistan
Kamal Patel United Kingdom
Tarek Nayfeh United States
Joanne LaFleur United States
Omar Yaxmehen Bello‐Chavolla Mexico
Jan René Nkeck Cameroon
Yip Han Chin relative to Jasjeet Singh Wasir India Jasjeet Singh Wasir's profile →
Citations per field
00.5×2.9×
Jasjeet Singh Wasir · 1×
Citations per year

Countries citing papers authored by Yip Han Chin

Since Specialization
Citations

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

Fields of papers citing papers by Yip Han Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yip Han Chin. 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 Yip Han Chin. The network helps show where Yip Han Chin may publish in the future.

Co-authors

The 25 scholars most cited alongside Yip Han Chin, 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 Yip Han Chin Line = papers co-authored together Yip Han Chin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Observational Data Meta-analysis on the Differences in Prevalence and Risk Factors Between MAFLD vs NAFLD
Hit paper breakdown →
2021175
2 2020124
3 202175
4 202274
5 202167
6 202166
7 202263
8 202263
9 202259
10 202352
11 202250
12 202150
13 202142
14 202341
15 202440
16 202138
17 202037
18 202236
19 202235
20 202032

About Yip Han Chin

Yip Han Chin is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and General Health Professions, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (19 papers), Diet, Metabolism, and Disease (5 papers), Diabetes Treatment and Management (5 papers), Cardiovascular Disease and Adiposity (5 papers), Inflammatory Bowel Disease (4 papers), Acute Myocardial Infarction Research (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Mobile Health and mHealth Applications (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (342 citations), Epidemiology (615 citations), Hepatology (103 citations), Cardiology and Cardiovascular Medicine (222 citations) and Pathology and Forensic Medicine (157 citations). Yip Han Chin has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Cheng Han Ng, Mark Muthiah, Nicholas Chew, Chin Meng Khoo, Gwyneth Kong, Mark Y. Chan, Wen Hui Lim, Darren Jun Hao Tan, Roger Foo and Ming Hui Lee. Their work appears in journals such as European Heart Journal, Endocrine Practice, Journal of the American College of Cardiology, Obesity and Frontiers in Endocrinology.

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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