Queenie Chan

25.4k total citations · 1 hit paper
127 papers, 6.6k citations indexed

About

Queenie Chan is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Queenie Chan has authored 127 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Public Health, Environmental and Occupational Health, 49 papers in Nutrition and Dietetics and 35 papers in Physiology. Recurrent topics in Queenie Chan's work include Nutritional Studies and Diet (72 papers), Sodium Intake and Health (40 papers) and Diet and metabolism studies (30 papers). Queenie Chan is often cited by papers focused on Nutritional Studies and Diet (72 papers), Sodium Intake and Health (40 papers) and Diet and metabolism studies (30 papers). Queenie Chan collaborates with scholars based in United Kingdom, United States and China. Queenie Chan's co-authors include Paul Elliott, Jeremiah Stamler, Hirotsugu Ueshima, Ian Brown, Martha L. Daviglus, Elaine Holmes, Jeremy K. Nicholson, Liancheng Zhao, Linda Van Horn and Alan R. Dyer and has published in prestigious journals such as Nature, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Queenie Chan

125 papers receiving 6.4k 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.

Human metabolic phenotype diversity and its association with diet and blood pressure

2008 813 citations Elaine Holmes, Ruey Leng Loo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Queenie Chan United Kingdom	42	2.6k	2.1k	2.0k	1.6k	653	127	6.6k
Ian Brown United Kingdom	29	2.2k 0.8×	1.2k 0.6×	2.0k 1.0×	1.1k 0.7×	531 0.8×	76	4.8k
Honglan Li China	52	2.8k 1.1×	1.4k 0.7×	1.4k 0.7×	1.5k 0.9×	446 0.7×	220	8.3k
Irena B. King United States	51	1.7k 0.6×	2.0k 1.0×	3.3k 1.6×	1.4k 0.9×	506 0.8×	143	7.5k
Wen‐Harn Pan Taiwan	51	2.0k 0.8×	1.4k 0.7×	1.1k 0.5×	1.8k 1.1×	1.3k 1.9×	281	8.7k
Sari Voutilainen Finland	49	1.7k 0.7×	1.2k 0.6×	2.1k 1.0×	1.2k 0.8×	488 0.7×	117	7.3k
Jakob Linseisen Germany	51	1.8k 0.7×	1.6k 0.8×	1.7k 0.9×	1.6k 1.0×	432 0.7×	298	8.6k
Amanda J. Cross United States	61	3.5k 1.3×	2.6k 1.2×	942 0.5×	1.9k 1.2×	141 0.2×	185	11.0k
Samar Basu Sweden	55	1.3k 0.5×	2.0k 1.0×	3.0k 1.5×	2.0k 1.2×	850 1.3×	166	10.1k
Karl‐Heinz Wagner Austria	49	736 0.3×	2.5k 1.2×	1.4k 0.7×	1.6k 1.0×	155 0.2×	284	8.5k
Myron D. Gross United States	52	2.1k 0.8×	1.7k 0.8×	1.5k 0.7×	1.6k 1.0×	928 1.4×	187	8.6k

Countries citing papers authored by Queenie Chan

Since Specialization

Citations

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

Fields of papers citing papers by Queenie Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Queenie Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Queenie Chan. A scholar is included among the top collaborators of Queenie Chan 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 Queenie Chan. Queenie Chan 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

Chen, Shihui, Di Cui, Edward S. Hui, et al.. (2023). A robust self-referenced 2D nyquist ghost correction for different MRI-biomarker measurements based on multi-band interleaved EPI. Frontiers in Physics. 10.

Navarro, Sandi L., G. A. Nagana Gowda, Lisa Bettcher, et al.. (2023). Demographic, Health and Lifestyle Factors Associated with the Metabolome in Older Women. Metabolites. 13(4). 514–514. 8 indexed citations

Fung, Erik, Timothy Kwok, Saranya Palaniswamy, et al.. (2023). Divergent Survival Outcomes Associated with Elevated Branched-Chain Amino Acid Levels among Older Adults with or without Hypertension and Diabetes: A Validated, Prospective, Longitudinal Follow-Up Study. Biomolecules. 13(8). 1252–1252. 2 indexed citations

Kanagasabai, Thirumagal, Ellison Carter, Li Yan, et al.. (2022). Cross-sectional study of household solid fuel use and renal function in older adults in China. Environmental Research. 219. 115117–115117. 3 indexed citations

Loo, Ruey Leng, Queenie Chan, Jeremy K. Nicholson, & Elaine Holmes. (2022). Balancing the Equation: A Natural History of Trimethylamine and Trimethylamine-N-oxide. Journal of Proteome Research. 21(3). 560–589. 26 indexed citations

Chan, Queenie, Chung‐Ho E. Lau, Timothy M. D. Ebbels, et al.. (2022). Blood pressure interactions with the DASH dietary pattern, sodium, and potassium: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP). American Journal of Clinical Nutrition. 116(1). 216–229. 13 indexed citations

Kanagasabai, Thirumagal, Wuxiang Xie, Li Yan, et al.. (2021). Household Air Pollution and Blood Pressure, Vascular Damage, and Subclinical Indicators of Cardiovascular Disease in Older Chinese Adults. American Journal of Hypertension. 35(2). 121–131. 13 indexed citations

Deng, Qiuju, Moning Guo, Majid Ezzati, et al.. (2021). Trends and Inequalities in the Incidence of Acute Myocardial Infarction among Beijing Townships, 2007–2018. International Journal of Environmental Research and Public Health. 18(23). 12276–12276. 14 indexed citations

Lau, Chung‐Ho E., Panagiotis A. Vorkas, Gonçalo Graça, et al.. (2020). Metabolic Signatures of Gestational Weight Gain and Postpartum Weight Loss in a Lifestyle Intervention Study of Overweight and Obese Women. Metabolites. 10(12). 498–498. 7 indexed citations

10.

García‐Pérez, Isabel, Joram M. Posma, José Iván Serrano-Contreras, et al.. (2020). Identifying unknown metabolites using NMR-based metabolic profiling techniques. Nature Protocols. 15(8). 2538–2567. 70 indexed citations

11.

Dashti, Hassan S., et al.. (2020). Quantifying Diet Intake and Its Association with Cardiometabolic Risk in the UK Airwave Health Monitoring Study: A Data-Driven Approach. Nutrients. 12(4). 1170–1170. 5 indexed citations

12.

Aljuraiban, Ghadeer S., Jeremiah Stamler, Queenie Chan, et al.. (2020). Potato consumption, by preparation method and meal quality, with blood pressure and body mass index: The INTERMAP study. Clinical Nutrition. 39(10). 3042–3048. 6 indexed citations

13.

Han, Yiqun, Wu Chen, Lia Chatzidiakou, et al.. (2020). Effects of AIR pollution on cardiopuLmonary disEaSe in urban and peri-urban reSidents in Beijing: protocol for the AIRLESS study. Atmospheric chemistry and physics. 20(24). 15775–15792. 12 indexed citations

14.

Posma, Joram M., Isabel García‐Pérez, Gary Frost, et al.. (2020). Nutriome–metabolome relationships provide insights into dietary intake and metabolism. Nature Food. 1(7). 426–436. 41 indexed citations

15.

Gibson, Rachel, Chung‐Ho E. Lau, Ruey Leng Loo, et al.. (2019). The association of fish consumption and its urinary metabolites with cardiovascular risk factors: the International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP). American Journal of Clinical Nutrition. 111(2). 280–290. 43 indexed citations

16.

Gibson, Rachel, Edward S. Chambers, He Gao, et al.. (2019). Intakes and Food Sources of Dietary Fibre and Their Associations with Measures of Body Composition and Inflammation in UK Adults: Cross-Sectional Analysis of the Airwave Health Monitoring Study. Nutrients. 11(8). 1839–1839. 24 indexed citations

17.

Zhou, Long, Jeremiah Stamler, Queenie Chan, et al.. (2019). Salt intake and prevalence of overweight/obesity in Japan, China, the United Kingdom, and the United States: the INTERMAP Study. American Journal of Clinical Nutrition. 110(1). 34–40. 80 indexed citations

18.

Gibson, Rachel, Anne‐Claire Vergnaud, Andy Heard, et al.. (2017). A cross-sectional investigation into the occupational and socio-demographic characteristics of British police force employees reporting a dietary pattern associated with cardiometabolic risk: findings from the Airwave Health Monitoring Study. European Journal of Nutrition. 57(8). 2913–2926. 31 indexed citations

19.

Aljuraiban, Ghadeer S., Queenie Chan, Linda M. Oude Griep, et al.. (2015). The Impact of Eating Frequency and Time of Intake on Nutrient Quality and Body Mass Index: The INTERMAP Study, a Population-Based Study. Journal of the Academy of Nutrition and Dietetics. 115(4). 528–536.e1. 87 indexed citations

20.

Brown, Ian, Jeremiah Stamler, Linda Van Horn, et al.. (2011). Sugar-Sweetened Beverage, Sugar Intake of Individuals, and Their Blood Pressure. Hypertension. 57(4). 695–701. 161 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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