Sock Hwee Tan

612 total citations
24 papers, 408 citations indexed

About

Sock Hwee Tan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Spectroscopy. According to data from OpenAlex, Sock Hwee Tan has authored 24 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Spectroscopy. Recurrent topics in Sock Hwee Tan's work include Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Neural Networks and Applications (3 papers). Sock Hwee Tan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Neural Networks and Applications (3 papers). Sock Hwee Tan collaborates with scholars based in Singapore, New Zealand and United States. Sock Hwee Tan's co-authors include Mark Y. Chan, Abidali Mohamedali, Mark S. Baker, Federico Torta, Markus R. Wenk, Bo Burla, Amit Kapur, Richard W. Troughton, Mark Richards and Alan Yean Yip Fong and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sock Hwee Tan

23 papers receiving 403 citations

Peers

Sock Hwee Tan

SPECT

CCM

PHYSI

Quan Cao China

Rita Babeluk Austria

Anna Kurpińska Poland

Hongli Zhu China

Nazia Syed India

Martina B. Lorey Finland

Katelyn R. Ludwig United States

Hulda S. Jónasdóttir Netherlands

Artur Dzwonek Poland

Jean‐Charles Sanchez Switzerland

Quan Cao China

Sock Hwee Tan

281 ×1.0

74 ×1.1

SPECT

93 ×1.5

CCM

65 ×1.7

44 ×1.3

PHYSI

Citations per year, relative to Sock Hwee Tan Sock Hwee Tan (= 1×) peers Quan Cao

Countries citing papers authored by Sock Hwee Tan

Since Specialization

Citations

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

Fields of papers citing papers by Sock Hwee Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sock Hwee Tan. 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 Sock Hwee Tan. The network helps show where Sock Hwee Tan may publish in the future.

Co-authorship network of co-authors of Sock Hwee Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Sock Hwee Tan. A scholar is included among the top collaborators of Sock Hwee Tan 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 Sock Hwee Tan. Sock Hwee Tan 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

Wee, Liang En, Jue Tao Lim, En Yun Loy, et al.. (2025). Risk of New-Onset Type 2 Diabetes Among Vaccinated Adults After Omicron or Delta Variant SARS-CoV-2 Infection. JAMA Network Open. 8(4). e252959–e252959. 2 indexed citations

Lim, Si Ying, et al.. (2023). Plasma metallomics reveals potential biomarkers and insights into the ambivalent associations of elements with acute myocardial infarction. Journal of Trace Elements in Medicine and Biology. 77. 127148–127148. 10 indexed citations

Koh, Hiromi W.L., Anna P. Pilbrow, Sock Hwee Tan, et al.. (2023). An integrated signature of extracellular matrix proteins and a diastolic function imaging parameter predicts post-MI long-term outcomes. Frontiers in Cardiovascular Medicine. 10. 1123682–1123682. 2 indexed citations

Yatim, Siti Maryam J. M., Suet Yen Chong, Xiaoyuan Wang, et al.. (2022). Plasma tissue factor coagulation activity in post-acute myocardial infarction patients. Frontiers in Endocrinology. 13. 1008329–1008329. 4 indexed citations

Lim, Si Ying, et al.. (2022). Multi-Omics Investigation into Acute Myocardial Infarction: An Integrative Method Revealing Interconnections amongst the Metabolome, Lipidome, Glycome, and Metallome. Metabolites. 12(11). 1080–1080. 11 indexed citations

Lim, Si Ying, Hazel Lau, Anna Karen Carrasco Laserna, et al.. (2022). Simultaneous Polar Metabolite and N-Glycan Extraction Workflow for Joint-Omics Analysis: A Synergistic Approach for Novel Insights into Diseases. Journal of Proteome Research. 21(3). 643–653. 5 indexed citations

Huang, Chenyuan, Siti Maryam J. M. Yatim, Suet Yen Chong, et al.. (2022). Temporal Changes in Extracellular Vesicle Hemostatic Protein Composition Predict Favourable Left Ventricular Remodeling after Acute Myocardial Infarction. International Journal of Molecular Sciences. 24(1). 327–327. 2 indexed citations

Nguyen, Quoc Toan, Sneha Muralidharan, Minh Thiet Vu, et al.. (2021). Deletion of Mfsd2b impairs thrombotic functions of platelets. Nature Communications. 12(1). 2286–2286. 18 indexed citations

Lim, Si Ying, Christopher Hendra, Anna Karen Carrasco Laserna, et al.. (2021). N-glycan profiles of acute myocardial infarction patients reveal potential biomarkers for diagnosis, severity assessment and treatment monitoring. Glycobiology. 32(6). 469–482. 9 indexed citations

10.

Peng, Bing, Dominik Kopczynski, Brian Pratt, et al.. (2020). LipidCreator workbench to probe the lipidomic landscape. Nature Communications. 11(1). 2057–2057. 61 indexed citations

11.

Triebl, Alexander, Bo Burla, Sock Hwee Tan, et al.. (2019). Shared reference materials harmonize lipidomics across MS-based detection platforms and laboratories. Journal of Lipid Research. 61(1). 105–115. 54 indexed citations

12.

Yatim, Siti Maryam J. M., Suet Yen Chong, Xue Wang, et al.. (2019). P2582Signature of plasma extracellular vesicles associated proteins in acute myocardial infarction patients. European Heart Journal. 40(Supplement_1).

13.

Carvalho, Leonardo Pinto de, Sock Hwee Tan, Zhiqun Tang, et al.. (2018). Plasma Ceramides as Prognostic Biomarkers and Their Arterial and Myocardial Tissue Correlates in Acute Myocardial Infarction. JACC Basic to Translational Science. 3(2). 163–175. 69 indexed citations

14.

Tan, Sock Hwee, et al.. (2018). Sources of variability in quantifying circulating thymosin beta-4: literature review and recommendations. Expert Opinion on Biological Therapy. 18(sup1). 141–147. 6 indexed citations

15.

Mohamedali, Abidali, et al.. (2015). Transforming growth factor-β, MAPK and Wnt signaling interactions in colorectal cancer. SHILAP Revista de lepidopterología. 8. 104–115. 33 indexed citations

16.

Tan, Sock Hwee, et al.. (2012). A novel, cost-effective and efficient chicken egg IgY purification procedure. Journal of Immunological Methods. 380(1-2). 73–76. 40 indexed citations

17.

Mohamedali, Abidali, et al.. (2012). An improved method for the detection and enrichment of low-abundant membrane and lipid raft-residing proteins. Journal of Proteomics. 79. 299–304. 10 indexed citations

18.

Guan, Sheng-Uei, et al.. (2008). Neural Network Task Decomposition Based on Output Partitioning. 1 indexed citations

19.

Tan, Sock Hwee, et al.. (2002). A new learning algorithm for RBF neural networks with applications to nonlinear system identification. 3. 1708–1711. 1 indexed citations

20.

Tan, Sock Hwee, et al.. (2002). Fuzzy modeling: an adaptive approach. 2. 889–896. 1 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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