Pak-Chung Sham

914 total citations
17 papers, 578 citations indexed

About

Pak-Chung Sham is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Pak-Chung Sham has authored 17 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Pak-Chung Sham's work include Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (4 papers) and Digestive system and related health (3 papers). Pak-Chung Sham is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Bioinformatics and Genomic Networks (4 papers) and Digestive system and related health (3 papers). Pak-Chung Sham collaborates with scholars based in Hong Kong, China and United Kingdom. Pak-Chung Sham's co-authors include Ching‐Lung Cheung, Hon‐Cheong So, Carlos Kwan‐Long Chau, Bernard M.Y. Cheung, Hongsheng Gui, Gloria Hoi‐Yee Li, Vincent Chi‐Chung Cheng, Tak‐Keung Ng, Kin‐Hung Chow and Chi-Ho Lin and has published in prestigious journals such as Nature Neuroscience, Bioinformatics and Diabetes.

In The Last Decade

Pak-Chung Sham

17 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pak-Chung Sham Hong Kong 13 195 129 110 69 51 17 578
Michael Jarvis United States 15 210 1.1× 185 1.4× 20 0.2× 25 0.4× 55 1.1× 37 896
Sujata Kelkar United States 6 91 0.5× 80 0.6× 63 0.6× 28 0.4× 12 0.2× 7 610
Annie Ting Gee Chiu China 11 100 0.5× 64 0.5× 54 0.5× 31 0.4× 19 0.4× 21 343
Peter D. Fairclough United Kingdom 12 204 1.0× 90 0.7× 10 0.1× 46 0.7× 9 0.2× 15 1.8k
Tatsuya Nagasawa Japan 17 396 2.0× 17 0.1× 16 0.1× 21 0.3× 12 0.2× 43 959
Fusheng He China 14 522 2.7× 88 0.7× 11 0.1× 10 0.1× 28 0.5× 23 956
Ling Cao United States 18 123 0.6× 27 0.2× 3 0.0× 33 0.5× 34 0.7× 43 714
Yoshito Takahashi Japan 13 143 0.7× 27 0.2× 20 0.2× 9 0.1× 24 0.5× 48 929
Diogo Dominguini Brazil 18 248 1.3× 24 0.2× 8 0.1× 6 0.1× 82 1.6× 46 924
Takenao Koseki Japan 12 105 0.5× 34 0.3× 13 0.1× 4 0.1× 9 0.2× 34 340

Countries citing papers authored by Pak-Chung Sham

Since Specialization
Citations

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

Fields of papers citing papers by Pak-Chung Sham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak-Chung Sham. 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 Pak-Chung Sham. The network helps show where Pak-Chung Sham may publish in the future.

Co-authorship network of co-authors of Pak-Chung Sham

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

All Works

17 of 17 papers shown
1.
Chau, Carlos Kwan‐Long, et al.. (2021). A framework to decipher the genetic architecture of combinations of complex diseases: applications in cardiovascular medicine. Bioinformatics. 37(22). 4137–4147. 3 indexed citations
2.
Guan, Fanglin, Tong Ni, Weili Zhu, et al.. (2021). Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction. Molecular Psychiatry. 27(1). 113–126. 50 indexed citations
3.
Li, Gloria Hoi‐Yee, Ching‐Lung Cheung, Bernard M.Y. Cheung, et al.. (2020). Evaluation of bi-directional causal association between depression and cardiovascular diseases: a Mendelian randomization study. Psychological Medicine. 52(9). 1765–1776. 84 indexed citations
4.
Cheung, Chloe Y. Y., Chi‐Ho Lee, Carol Ho-Yan Fong, et al.. (2020). Possible Modifying Effect of Hemoglobin A1c on Genetic Susceptibility to Severe Diabetic Retinopathy in Patients With Type 2 Diabetes. Investigative Ophthalmology & Visual Science. 61(10). 7–7. 3 indexed citations
5.
Chau, Carlos Kwan‐Long, et al.. (2019). Integrating Clinical Data and Imputed Transcriptome from GWAS to Uncover Complex Disease Subtypes: Applications in Psychiatry and Cardiology. The American Journal of Human Genetics. 105(6). 1193–1212. 14 indexed citations
6.
Basil, Paul, Qi Li, Hongsheng Gui, et al.. (2018). Prenatal immune activation alters the adult neural epigenome but can be partly stabilised by a n-3 polyunsaturated fatty acid diet. Translational Psychiatry. 8(1). 125–125. 35 indexed citations
7.
Wong, Yuen‐Kwun, Chloe Y. Y. Cheung, Clara Sze-Man Tang, et al.. (2018). Age-Biomarkers-Clinical Risk Factors for Prediction of Cardiovascular Events in Patients With Coronary Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 38(10). 2519–2527. 28 indexed citations
8.
Folkersen, Lasse & Pak-Chung Sham. (2018). Understand Your DNA. WORLD SCIENTIFIC eBooks. 2 indexed citations
9.
So, Hon‐Cheong, et al.. (2017). Analysis of genome-wide association data highlights candidates for drug repositioning in psychiatry. Nature Neuroscience. 20(10). 1342–1349. 93 indexed citations
10.
Pang, Shirley Yin-Yu, Kay Cheong Teo, Jacob Shujui Hsu, et al.. (2017). The role of gene variants in the pathogenesis of neurodegenerative disorders as revealed by next generation sequencing studies: a review. Translational Neurodegeneration. 6(1). 27–27. 19 indexed citations
11.
Pang, Shirley Yin-Yu, Jacob Shujui Hsu, Kay Cheong Teo, et al.. (2017). Burden of rare variants in ALS genes influences survival in familial and sporadic ALS. Neurobiology of Aging. 58. 238.e9–238.e15. 46 indexed citations
12.
Cheung, Chloe Y. Y., Clara Sze-Man Tang, Aimin Xu, et al.. (2017). An Exome-Chip Association Analysis in Chinese Subjects Reveals a Functional Missense Variant of GCKR That Regulates FGF21 Levels. Diabetes. 66(6). 1723–1728. 13 indexed citations
13.
Sham, Pak-Chung, et al.. (2016). Recent progress in genetic research on type 2 diabetes and obesity in East Asian populations. Diabetes Research and Clinical Practice. 120. S8–S9. 1 indexed citations
14.
Luzón‐Toro, Berta, Hongsheng Gui, Macarena Ruiz‐Ferrer, et al.. (2015). Exome sequencing reveals a high genetic heterogeneity on familial Hirschsprung disease. Scientific Reports. 5(1). 16473–16473. 24 indexed citations
15.
Cheung, Ching‐Lung, et al.. (2013). Genetic variant in vitamin D binding protein is associated with serum 25-hydroxyvitamin D and vitamin D insufficiency in southern Chinese. Journal of Human Genetics. 58(11). 749–751. 37 indexed citations
17.
García-Barceló, María-Mercé, Clara Sze-Man Tang, Xiaoping Miao, et al.. (2008). Mapping of a Hirschsprung's disease locus in 3p21. European Journal of Human Genetics. 16(7). 833–840. 14 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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