Boon‐How Chew

2.3k total citations
80 papers, 1.5k citations indexed

About

Boon‐How Chew is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and General Health Professions. According to data from OpenAlex, Boon‐How Chew has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, Diabetes and Metabolism, 23 papers in Epidemiology and 18 papers in General Health Professions. Recurrent topics in Boon‐How Chew's work include Diabetes Management and Education (34 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Chronic Disease Management Strategies (22 papers). Boon‐How Chew is often cited by papers focused on Diabetes Management and Education (34 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (23 papers) and Chronic Disease Management Strategies (22 papers). Boon‐How Chew collaborates with scholars based in Malaysia, United Kingdom and Netherlands. Boon‐How Chew's co-authors include Sazlina Shariff Ghazali, Azhar Md. Zain, Sherina Mohd Sidik, Rimke C. Vos, Guy E.H.M. Rutten, Ai Theng Cheong, Ping Yein Lee, Jamaiyah Haniff, Mastura Ismail and Yook Chin Chia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Boon‐How Chew

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boon‐How Chew Malaysia 23 740 465 264 229 171 80 1.5k
Greg E. Simon United States 14 619 0.8× 462 1.0× 296 1.1× 361 1.6× 205 1.2× 21 1.7k
Kevin L. Sloan United States 22 601 0.8× 501 1.1× 264 1.0× 156 0.7× 177 1.0× 40 1.8k
Mitchell J. Barnett United States 27 310 0.4× 292 0.6× 366 1.4× 94 0.4× 385 2.3× 58 2.2k
Weng Yee Chin Hong Kong 19 350 0.5× 252 0.5× 248 0.9× 164 0.7× 111 0.6× 69 1.2k
Neda Laiteerapong United States 25 1.2k 1.6× 381 0.8× 492 1.9× 82 0.4× 297 1.7× 106 2.4k
Joseph P. Eimicke United States 27 574 0.8× 435 0.9× 988 3.7× 181 0.8× 346 2.0× 67 2.2k
Ingrid Willaing Denmark 27 1.7k 2.3× 866 1.9× 772 2.9× 75 0.3× 190 1.1× 121 2.6k
Tariq M. Alhawassi Saudi Arabia 20 428 0.6× 235 0.5× 152 0.6× 41 0.2× 99 0.6× 61 1.7k
Doyle M. Cummings United States 26 652 0.9× 362 0.8× 569 2.2× 43 0.2× 313 1.8× 157 2.2k
Margaret Stone United Kingdom 28 1.5k 2.0× 1.0k 2.2× 403 1.5× 79 0.3× 355 2.1× 70 3.0k

Countries citing papers authored by Boon‐How Chew

Since Specialization
Citations

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

Fields of papers citing papers by Boon‐How Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boon‐How Chew. 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 Boon‐How Chew. The network helps show where Boon‐How Chew may publish in the future.

Co-authorship network of co-authors of Boon‐How Chew

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

All Works

20 of 20 papers shown
1.
Ghazali, Sazlina Shariff, et al.. (2024). The expectations and acceptability of a smart nursing home model among Chinese older adults: a mixed methods study. BMC Nursing. 23(1). 40–40. 1 indexed citations
2.
Prina, Matthew, Barakatun Nisak Mohd Yusof, Kimberley Goldsmith, et al.. (2024). Process Evaluations of Interventions for the Prevention of Type 2 Diabetes in Women With Gestational Diabetes Mellitus: Systematic Review. SHILAP Revista de lepidopterología. 14. e51718–e51718.
3.
Chew, Boon‐How, Lauren Maxwell, Tonni Agustiono Kurniawan, et al.. (2024). Statements on Open Science for Sustainable Development Goals. Data Science Journal. 23. 49–49. 1 indexed citations
4.
Romli, Muhammad Hibatullah, et al.. (2022). Effectiveness of Breathing Exercises, Foot Reflexology and Massage (BRM) on Maternal and Newborn Outcomes Among Primigravidae in Saudi Arabia: A Randomized Controlled Trial. SHILAP Revista de lepidopterología. 17 indexed citations
5.
Goldsmith, Kimberley, Angus Forbes, Siew Mooi Ching, et al.. (2022). A Mobile Phone App for the Prevention of Type 2 Diabetes in Malaysian Women With Gestational Diabetes Mellitus: Protocol for a Feasibility Randomized Controlled Trial. JMIR Research Protocols. 11(9). e37288–e37288. 1 indexed citations
6.
Samsudin, Intan Nureslyna, Angus Forbes, Nurain Mohd Noor, et al.. (2022). Study protocol on risk factors for the diagnosis of gestational diabetes mellitus in different trimesters and their relation to maternal and neonatal outcomes (GDM-RIDMAN). BMJ Open. 12(7). e052554–e052554. 4 indexed citations
10.
Chew, Boon‐How, et al.. (2018). Psychological interventions for behavioral adjustments in diabetes care – a value-based approach to disease control. Psychology Research and Behavior Management. Volume 11. 145–155. 12 indexed citations
11.
Samsudin, Intan Nureslyna, Boon‐How Chew, Hejar Abdul Rahman, et al.. (2018). Biochemical effects of statins on lipid parameters among newly diagnosed dyslipidaemia subjects in primary care. Malaysian Journal of Medicine and Health Sciences. 14(1). 1 indexed citations
12.
Tan, Kit‐Aun, et al.. (2016). Effects of Brief Psychoeducational Program on Stigma in Malaysian Pre-clinical Medical Students: A Randomized Controlled Trial. Academic Psychiatry. 40(6). 905–911. 39 indexed citations
14.
Chew, Boon‐How, Rimke C. Vos, Sherina Mohd Sidik, & Guy E.H.M. Rutten. (2016). Diabetes-Related Distress, Depression and Distress-Depression among Adults with Type 2 Diabetes Mellitus in Malaysia. PLoS ONE. 11(3). e0152095–e0152095. 84 indexed citations
16.
Chew, Boon‐How & Ai Theng Cheong. (2013). Assessing HIV/AIDS Knowledge and Stigmatizing Attitudes among Medical Students in Universiti Putra Malaysia.. PubMed. 68(1). 24–9. 18 indexed citations
17.
Chew, Boon‐How, Sazlina Shariff Ghazali, Ping Yein Lee, et al.. (2013). Type 2 Diabetes Mellitus Patient Profiles, Diseases Control and Complications at Four Public Health Facilities- A Cross-sectional Study based on the Adult Diabetes Control and Management (ADCM) Registry 2009.. PubMed. 68(5). 397–404. 11 indexed citations
18.
Chew, Boon‐How, Sazlina Shariff Ghazali, Mastura Ismail, Jamaiyah Haniff, & Mohamad Adam Bujang. (2013). Age ≥60years was an independent risk factor for diabetes-related complications despite good control of cardiovascular risk factors in patients with type 2 diabetes mellitus. Experimental Gerontology. 48(5). 485–491. 52 indexed citations
19.
Mastura, I, et al.. (2011). Control and treatment profiles of 70,889 adult type 2 diabetes mellitus patients in Malaysia - a cross sectional survey in 2009.. International journal of collaborative research on internal medicine & public health. 3(1). 98–113. 44 indexed citations
20.
Chew, Boon‐How, et al.. (2011). Quality of Care for Adult Type 2 Diabetes Mellitus at a University Primary Care Centre in Malaysia. International journal of collaborative research on internal medicine & public health. 3(6). 11 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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