Wing‐Cheong Wong

878 total citations
19 papers, 491 citations indexed

About

Wing‐Cheong Wong is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Wing‐Cheong Wong has authored 19 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Immunology. Recurrent topics in Wing‐Cheong Wong's work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Wing‐Cheong Wong is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (6 papers). Wing‐Cheong Wong collaborates with scholars based in Singapore, Austria and Italy. Wing‐Cheong Wong's co-authors include Frank Eisenhaber, Sebastian Maurer‐Stroh, Siew Cheng Wong, Siew‐Min Ong, Birgit Eisenhaber, Poh‐Koon Koh, Kiat‐Hon Lim, Khoon‐Lin Ling, Ottavio Beretta and Herbert Schwarz and has published in prestigious journals such as Nucleic Acids Research, Cellular and Molecular Life Sciences and European Journal of Immunology.

In The Last Decade

Wing‐Cheong Wong

19 papers receiving 486 citations

Peers

Countries citing papers authored by Wing‐Cheong Wong

Since Specialization

Citations

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

Fields of papers citing papers by Wing‐Cheong Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing‐Cheong Wong. 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 Wing‐Cheong Wong. The network helps show where Wing‐Cheong Wong may publish in the future.

Co-authorship network of co-authors of Wing‐Cheong Wong

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Hypocrisy Around Medical Patient Data: Issues of Access for Biomedical Research, Data Quality, Usefulness for the Purpose and Omics Data as Game Changer 2019 ·Asian Bioethics Review ·Erwin Tantoso, Wing‐Cheong Wong, Wei Hong Tay, Joanne Lee, Swati Sinha, Birgit Eisenhaber, Frank Eisenhaber	5
2	Finite-size effects in transcript sequencing count distribution: its power-law correction necessarily precedes downstream normalization and comparative analysis 2018 ·Biology Direct ·Wing‐Cheong Wong, (unknown), Erwin Tantoso, Richie Soong, Frank Eisenhaber	3
3	Function of a membrane-embedded domain evolutionarily multiplied in the GPI lipid anchor pathway proteins PIG-B, PIG-M, PIG-U, PIG-W, PIG-V, and PIG-Z 2018 ·Cell Cycle ·Birgit Eisenhaber, Swati Sinha, Wing‐Cheong Wong, Frank Eisenhaber	14
4	xHMMER3x2: Utilizing HMMER3’s speed and HMMER2’s sensitivity and specificity in the glocal alignment mode for improved large-scale protein domain annotation 2016 ·Biology Direct ·(unknown), Birgit Eisenhaber, Frank Eisenhaber, Wing‐Cheong Wong	5
5	The Recipe for Protein Sequence-Based Function Prediction and Its Implementation in the ANNOTATOR Software Environment 2016 ·Methods in molecular biology ·Birgit Eisenhaber, (unknown), (unknown), Fernanda L. Sirota, Igor N. Berezovsky, Wing‐Cheong Wong, Frank Eisenhaber	13
6	dissectHMMER: a HMMER-based score dissection framework that statistically evaluates fold-critical sequence segments for domain fold similarity 2015 ·Biology Direct ·Wing‐Cheong Wong, (unknown), Birgit Eisenhaber, Frank Eisenhaber	13
7	MicroRNA expression profiling of human blood monocyte subsets highlights functional differences 2015 ·Immunology ·Truong‐Minh Dang, Wing‐Cheong Wong, Siew‐Min Ong, Peng Li, Josephine Lum, Jinmiao Chen, Michael Poidinger, Francesca Zolezzi, Siew Cheng Wong	28
8	On the necessity of dissecting sequence similarity scores into segment-specific contributions for inferring protein homology, function prediction and annotation 2014 ·BMC Bioinformatics ·Wing‐Cheong Wong, Sebastian Maurer‐Stroh, Birgit Eisenhaber, Frank Eisenhaber	11
9	A SIMPLE SHORTCUT TO UNSUPERVISED ALIGNMENT-FREE PHYLOGENETIC GENOME GROUPINGS, EVEN FROM UNASSEMBLED SEQUENCING READS 2013 ·Journal of Bioinformatics and Computational Biology ·Sebastian Maurer‐Stroh, Vithiagaran Gunalan, Wing‐Cheong Wong, Frank Eisenhaber	2
10	Transmembrane helix: simple or complex 2012 ·Nucleic Acids Research ·Wing‐Cheong Wong, Sebastian Maurer‐Stroh, Georg Schneider, Frank Eisenhaber	19
11	Dacarbazine Promotes Stromal Remodeling and Lymphocyte Infiltration in Cutaneous Melanoma Lesions 2011 ·Journal of Investigative Dermatology ·Alessandra Nardin, Wing‐Cheong Wong, Charlene Tow, Thierry Jo Molina, Frédérique Tissier, Anne Audebourg, Marylène Garcette, Anne Caignard, Marie‐Françoise Avril, Jean‐Pierre Abastado, Armelle Prévost‐Blondel	29
12	Macrophages in human colorectal cancer are pro‐inflammatory and prime T cells towards an anti‐tumour type‐1 inflammatory response 2011 ·European Journal of Immunology ·Siew‐Min Ong, (unknown), Ottavio Beretta, Dongsheng Jiang, (unknown), (unknown), Wing‐Cheong Wong, Henry Yang, Herbert Schwarz, Kiat‐Hon Lim, Poh‐Koon Koh, Khoon‐Lin Ling, Siew Cheng Wong	114
13	Not all transmembrane helices are born equal: Towards the extension of the sequence homology concept to membrane proteins 2011 ·Biology Direct ·Wing‐Cheong Wong, Sebastian Maurer‐Stroh, Frank Eisenhaber	30
14	Reconstruction of gene association network reveals a transmembrane protein required for adipogenesis and targeted by PPARγ 2010 ·Cellular and Molecular Life Sciences ·Juliane Gertrude Bogner‐Strauß, Andreas Prokesch, Fátima Sánchez‐Cabo, Dietmar Rieder, Hubert Hackl, Kalina Duszka, Anne Krogsdam, Barbara Di Camillo, Evelyn Walenta, (unknown), Achim Lass, Montserrat Pinent, Wing‐Cheong Wong, Frank Eisenhaber, Zlatko Trajanoski	38
15	Arxes: retrotransposed genes required for adipogenesis 2010 ·Nucleic Acids Research ·Andreas Prokesch, Juliane Gertrude Bogner‐Strauß, Hubert Hackl, Dietmar Rieder, (unknown), Evelyn Walenta, Anne Krogsdam, Marcel Scheideler, Christine Papak, Wing‐Cheong Wong, Charles Vinson, Frank Eisenhaber, Zlatko Trajanoski	16
16	More Than 1,001 Problems with Protein Domain Databases: Transmembrane Regions, Signal Peptides and the Issue of Sequence Homology 2010 ·PLoS Computational Biology ·Wing‐Cheong Wong, Sebastian Maurer‐Stroh, Frank Eisenhaber	48
17	R-POPTVR: A Novel Reinforcement-Based POPTVR Fuzzy Neural Network for Pattern Classification 2009 ·IEEE Transactions on Neural Networks ·Wing‐Cheong Wong, Siu‐Yeung Cho, Chai Quek	14
18	Identification of Novel Functional Differences in Monocyte Subsets Using Proteomic and Transcriptomic Methods 2009 ·Journal of Proteome Research ·Changqing Zhao, Huoming Zhang, Wing‐Cheong Wong, Xiaohui Sem, Han Hao, Siew‐Min Ong, (unknown), (unknown), (unknown), (unknown), Mickey Koh, Philippe Kourilsky, Siu Kwan Sze, Siew Cheng Wong	76
19	On the necessity of different statistical treatment for Illumina BeadChip and Affymetrix GeneChip data and its significance for biological interpretation 2008 ·Biology Direct ·Wing‐Cheong Wong, Marie Loh, Frank Eisenhaber	13

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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