Shing‐Chung Siu

404 total citations
9 papers, 196 citations indexed

About

Shing‐Chung Siu is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Epidemiology. According to data from OpenAlex, Shing‐Chung Siu has authored 9 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 2 papers in General Health Professions and 2 papers in Epidemiology. Recurrent topics in Shing‐Chung Siu's work include Diabetes Management and Research (4 papers), Oral microbiology and periodontitis research (2 papers) and Diabetes and associated disorders (2 papers). Shing‐Chung Siu is often cited by papers focused on Diabetes Management and Research (4 papers), Oral microbiology and periodontitis research (2 papers) and Diabetes and associated disorders (2 papers). Shing‐Chung Siu collaborates with scholars based in Hong Kong, China and India. Shing‐Chung Siu's co-authors include Vivian Lee, Cindy Lo Kuen Lam, Carlos King Ho Wong, Colman Siu Cheung Fung, Yvonne Lo, WK Leung, Dyt Fong, Esther Yee Tak Yu, Krishna Kant Mishra and Eric Yuk Fai Wan and has published in prestigious journals such as PLoS Medicine, Diabetes Research and Clinical Practice and Journal of Occupational and Environmental Medicine.

In The Last Decade

Shing‐Chung Siu

9 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shing‐Chung Siu Hong Kong	8	82	50	34	34	30	9	196
Cynthia Rose United States	6	49 0.6×	21 0.4×	78 2.3×	36 1.1×		7	198
U. L. Malanda Netherlands	6	250 3.0×	9 0.2×	68 2.0×	26 0.8×		7	332
Erin O’Kelly Phillips United States	6	20 0.2×	13 0.3×	40 1.2×	18 0.5×		12	121
Kristian Furuseth Norway	7	81 1.0×	10 0.2×	41 1.2×	7 0.2×		8	197
Francisco Javier García Soidán Spain	10	161 2.0×	5 0.1×	32 0.9×	6 0.2×	3 0.1×	33	257
Denis Drouin Canada	10	33 0.4×	25 0.5×	55 1.6×	8 0.2×		19	238
Luz Perrenoud Switzerland	3	47 0.6×	20 0.4×	28 0.8×	3 0.1×		13	112
Maizatullifah Miskan Malaysia	6	65 0.8×	8 0.2×	30 0.9×	5 0.1×		13	192
Pedro J. Ortiz Peru	9	13 0.2×	49 1.0×	37 1.1×	4 0.1×		27	172
Mavourneen Mangan United States	8	387 4.7×	24 0.5×	128 3.8×	20 0.6×		10	440

Countries citing papers authored by Shing‐Chung Siu

Since Specialization

Citations

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

Fields of papers citing papers by Shing‐Chung Siu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing‐Chung Siu. 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 Shing‐Chung Siu. The network helps show where Shing‐Chung Siu may publish in the future.

Co-authorship network of co-authors of Shing‐Chung Siu

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

All Works

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9 of 9 papers shown

Quan, Jianchao, Carmen S. Ng, Shing‐Chung Siu, et al.. (2021). Development and validation of the CHIME simulation model to assess lifetime health outcomes of prediabetes and type 2 diabetes in Chinese populations: A modeling study. PLoS Medicine. 18(6). e1003692–e1003692. 15 indexed citations

Wong, Carlos King Ho, et al.. (2018). Five-year effectiveness of short messaging service (SMS) for pre-diabetes. BMC Research Notes. 11(1). 709–709. 8 indexed citations

Wong, Carlos King Ho, Shing‐Chung Siu, Eric Yuk Fai Wan, et al.. (2015). Simple non‐laboratory‐ and laboratory‐based risk assessment algorithms and nomogram for detecting undiagnosed diabetes mellitus. Journal of Diabetes. 8(3). 414–421. 14 indexed citations

Wong, Carlos King Ho, Shing‐Chung Siu, Colman Siu Cheung Fung, et al.. (2015). Cost-Effectiveness of a Short Message Service Intervention to Prevent Type 2 Diabetes from Impaired Glucose Tolerance. Journal of Diabetes Research. 2016. 1–8. 27 indexed citations

Mishra, Krishna Kant, et al.. (2013). Population dynamics of sucking insect pests and its natural enemies on okra agro-ecosystem in Chitrakoot region. African Journal of Agricultural Research. 8(28). 3814–3819. 14 indexed citations

Wong, Carlos King Ho, Colman Siu Cheung Fung, Shing‐Chung Siu, et al.. (2012). The Impact of Work Nature, Lifestyle, and Obesity on Health-Related Quality of Life in Chinese Professional Drivers. Journal of Occupational and Environmental Medicine. 54(8). 989–994. 30 indexed citations

Siu, Shing‐Chung, et al.. (2011). A Pharmacist Care Program. Journal of Cardiovascular Pharmacology and Therapeutics. 17(1). 57–64. 58 indexed citations

Leung, WK, et al.. (2008). Health behaviour, metabolic control and periodontal status in medically treated Chinese with type 2 diabetes mellitus.. PubMed. 19. 102–10. 4 indexed citations

Siu, Shing‐Chung, et al.. (2000). Diabetes mellitus and periodontal disease. Diabetes Research and Clinical Practice. 50. 343–343. 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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