Yip Han Chin

4.8k total citations · 1 hit paper
88 papers, 1.7k citations indexed

About

Yip Han Chin is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Yip Han Chin has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 29 papers in Cardiology and Cardiovascular Medicine and 22 papers in Surgery. Recurrent topics in Yip Han Chin's work include Liver Disease Diagnosis and Treatment (25 papers), Diet, Metabolism, and Disease (12 papers) and Cardiovascular Disease and Adiposity (8 papers). Yip Han Chin is often cited by papers focused on Liver Disease Diagnosis and Treatment (25 papers), Diet, Metabolism, and Disease (12 papers) and Cardiovascular Disease and Adiposity (8 papers). Yip Han Chin collaborates with scholars based in Singapore, United States and United Kingdom. Yip Han Chin's co-authors include Cheng Han Ng, Nicholas Chew, Mark Muthiah, Chin Meng Khoo, Mark Y. Chan, Gwyneth Kong, Wen Hui Lim, Darren Jun Hao Tan, Ming Hui Lee and Roger Foo and has published in prestigious journals such as Gastroenterology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Yip Han Chin

84 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An Observational Data Meta-analysis on the Differences in Prevalence and Risk Factors Between MAFLD vs NAFLD

2021 166 citations Grace En Hui Lim, Ansel Shao Pin Tang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yip Han Chin Singapore	26	730	511	368	292	224	88	1.7k
Song Vogue Ahn South Korea	25	464 0.6×	349 0.7×	344 0.9×	238 0.8×	136 0.6×	74	1.6k
Amy Luke United States	25	680 0.9×	438 0.9×	616 1.7×	483 1.7×	148 0.7×	37	2.8k
Amy Earley United States	20	238 0.3×	352 0.7×	648 1.8×	430 1.5×	140 0.6×	41	2.3k
Elias Khajeh Germany	16	338 0.5×	332 0.6×	139 0.4×	442 1.5×	76 0.3×	92	1.3k
Christiano Argano Italy	19	357 0.5×	257 0.5×	466 1.3×	121 0.4×	115 0.5×	62	1.3k
Haesuk Park United States	22	718 1.0×	232 0.5×	212 0.6×	289 1.0×	72 0.3×	108	1.7k
Yitka Graham United Kingdom	17	508 0.7×	263 0.5×	107 0.3×	633 2.2×	55 0.2×	77	1.5k
Chi-Pang Wen Taiwan	14	336 0.5×	466 0.9×	540 1.5×	276 0.9×	59 0.3×	14	2.5k
Christian Labenz Germany	22	1.0k 1.4×	246 0.5×	84 0.2×	384 1.3×	119 0.5×	108	1.5k
Mario Saugo Italy	18	251 0.3×	174 0.3×	262 0.7×	337 1.2×	121 0.5×	53	1.2k

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-authorship network of co-authors of Yip Han Chin

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

All Works

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20 of 20 papers shown

Chin, Yip Han, Han Shi Jocelyn Chew, Sarah E. Grady, et al.. (2025). One anastomosis gastric bypass produces considerable weight reduction and resolution of medical complications with an acceptable rate of nutritional deficiencies. Scientific Reports. 15(1). 30106–30106.

Chew, Han Shi Jocelyn, Nicholas Chew, Shaun Loong, et al.. (2024). Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation. Journal of Medical Internet Research. 26. e46036–e46036. 17 indexed citations

Chin, Yip Han, Gwyneth Kong, Bryan Chong, et al.. (2024). Efficacy and safety of tirzepatide, GLP‐1 receptor agonists, and other weight loss drugs in overweight and obesity: a network meta‐analysis. Obesity. 32(5). 840–856. 34 indexed citations

Chew, Han Shi Jocelyn, Nicholas Chew, Su Lin Lim, et al.. (2023). Effectiveness of a Novel Artificial Intelligence-assisted Weight Loss App on Improving Eating Behaviors: A Mixed-method Evaluation. Obesity Research & Clinical Practice. 17(5). 438–439. 2 indexed citations

Chong, Bryan, Rachel Goh, Yip Han Chin, et al.. (2023). Effects of epicardial adipose tissue volume and thickness assessed by computed tomography and echocardiography on cardiovascular and cerebrovascular outcomes: a systematic review and meta-analysis. European Heart Journal. 44(Supplement_1). 2 indexed citations

Chew, Han Shi Jocelyn, et al.. (2023). Effectiveness of Combined Health Coaching and Self-Monitoring Apps on Weight-Related Outcomes in People With Overweight and Obesity: Systematic Review and Meta-analysis. Journal of Medical Internet Research. 25. e42432–e42432. 16 indexed citations

Chong, Bryan, Jayanth Jayabaskaran, Rachel Goh, et al.. (2023). Epicardial Adipose Tissue Assessed by Computed Tomography and Echocardiography Are Associated With Adverse Cardiovascular Outcomes: A Systematic Review and Meta-Analysis. Circulation Cardiovascular Imaging. 16(5). e015159–e015159. 38 indexed citations

Chew, Han Shi Jocelyn, Shaun Loong, Su Lin Lim, et al.. (2023). Socio-Demographic, Behavioral and Psychological Factors Associated with High BMI among Adults in a Southeast Asian Multi-Ethnic Society: A Structural Equation Model. Nutrients. 15(8). 1826–1826. 8 indexed citations

Kong, Gwyneth, Yip Han Chin, Kannan Shankar, et al.. (2023). A two‐decade population‐based study on the effect of hypertension in the general population with obesity in the United States. Obesity. 31(3). 832–840. 13 indexed citations

10.

Chong, Bryan, Yip Han Chin, & Nicholas Chew. (2023). Response by Chong et al to Letter Regarding Article, “Epicardial Adipose Tissue Assessed by Computed Tomography and Echocardiography Are Associated With Adverse Cardiovascular Outcomes: A Systematic Review and Meta-analysis”. Circulation Cardiovascular Imaging. 16(10). e015985–e015985. 6 indexed citations

11.

Tan, Bryan C., Han Shi Jocelyn Chew, Rachel Sze Jen Goh, et al.. (2023). Efficacy and safety of tirzepatide for treatment of overweight or obesity. A systematic review and meta-analysis. International Journal of Obesity. 47(8). 677–685. 49 indexed citations

12.

Chin, Yip Han, Chaoxing Lin, Gwyneth Kong, et al.. (2022). Meta-analysis of the Placebo and Nocebo effects associated with Placebo treatment in randomized trials of lipid-lowering therapies. European Heart Journal - Quality of Care and Clinical Outcomes. 9(5). 511–519. 16 indexed citations

13.

Xiao, Jieling, Cheng Han Ng, Yip Han Chin, et al.. (2022). A Class Effect Network Meta-analysis of Lipid Modulation in Non-alcoholic Steatohepatitis for Dyslipidemia. Journal of Clinical and Translational Hepatology. 0(0). 0–0. 4 indexed citations

14.

Chong, Bryan, Rachel Sze Jen Goh, Gwyneth Kong, et al.. (2022). Comparison of biodegradable and newer generation durable polymer drug-eluting stents with short-term dual antiplatelet therapy: a systematic review and Bayesian network meta-analysis of randomized trials comprising of 43,875 patients. Journal of Thrombosis and Thrombolysis. 53(3). 671–682. 7 indexed citations

15.

Lim, Grace En Hui, Ansel Shao Pin Tang, Yip Han Chin, et al.. (2022). A network meta-analysis of 12,116 individuals from randomized controlled trials in the treatment of depression after acute coronary syndrome. PLoS ONE. 17(11). e0278326–e0278326. 5 indexed citations

16.

Lim, Wen Hui, Darren Jun Hao Tan, Cheng Han Ng, et al.. (2021). Laparoscopic versus open resection for rectal cancer: An individual patient data meta analysis of randomized controlled trials. European Journal of Surgical Oncology. 48(5). 1133–1143. 11 indexed citations

17.

Sim, W., Wen Hui Lim, Cheng Han Ng, et al.. (2021). The perspectives of health professionals and patients on racism in healthcare: A qualitative systematic review. PLoS ONE. 16(8). e0255936–e0255936. 58 indexed citations

18.

Chin, Yip Han, Kameswara Rishi Yeshayahu Nistala, Shridhar Ganpathi Iyer, et al.. (2021). Teaching Medical Research to Medical Students: a Systematic Review. Medical Science Educator. 31(2). 945–962. 32 indexed citations

19.

Chin, Yip Han, Cheng Han Ng, Snow Yunni Lin, et al.. (2021). Systematic review with meta-analysis: The prevalence, risk factors and outcomes of upper gastrointestinal tract Crohn's disease. Digestive and Liver Disease. 53(12). 1548–1558. 11 indexed citations

20.

Lee, Ming Hui, Yip Han Chin, Cheng Han Ng, et al.. (2020). Risk Factors of Thyroid Eye Disease. Endocrine Practice. 27(3). 245–253. 26 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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