Lawrence JK Wee

1.5k citations

7 papers · 952 indexed · 1 hit paper · h-index 7

Co-authors: Tin Wee Tan Paul Choi Paul Robson Iain Beehuat Tan Debarka Sengupta Elise T. Courtois Yuliana Tan Huipeng Li
Topics: Machine Learning in Bioinformatics (5 papers)vaccines and immunoinformatics approaches (2 papers)Cell death mechanisms and regulation (2 papers)
Cited by: Cancer Research Oncology Molecular Biology
Journals: Nature Genetics Bioinformatics PLoS ONE
Partner nations: Singapore Australia United States

In The Last Decade

Lawrence JK Wee

7 papers receiving 939 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors

2017 722 citations Huipeng Li, Elise T. Courtois et al. Nature Genetics profile →

Peers

Countries citing papers authored by Lawrence JK Wee

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence JK Wee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence JK Wee. 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 Lawrence JK Wee. The network helps show where Lawrence JK Wee may publish in the future.

Co-authorship network of co-authors of Lawrence JK Wee

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumorsbreakdown → 2017 ·Nature Genetics ·Huipeng Li,Elise T. Courtois,Debarka Sengupta,Yuliana Tan,Kok Hao Chen,Jolene Jie Lin Goh,Say Li Kong,Clarinda Chua,(unknown),Wah Siew Tan,(unknown),Paul Choi,Lawrence JK Wee,Axel M. Hillmer,Iain Beehuat Tan,Paul Robson,Shyam Prabhakar	722
2	In silico prediction of the granzyme B degradome 2011 ·BMC Genomics ·Lawrence JK Wee,(unknown),Lisa F. P. Ng,J. Tong	6
3	SVM-based prediction of linear B-cell epitopes using Bayes Feature Extraction 2010 ·BMC Genomics ·Lawrence JK Wee,Diane Simarmata,Yiu‐Wing Kam,Lisa F. P. Ng,Joo Chuan Tong	69
4	Classification of Dengue Fever Patients Based on Gene Expression Data Using Support Vector Machines 2010 ·PLoS ONE ·Ana Lisa do Vale Gomes,Lawrence JK Wee,Asif M. Khan,Laura H. V. G. Gil,Ernesto T. A. Marques,Carlos Eduardo Calzavara-Silva,Tin Wee Tan	32
5	A multi-factor model for caspase degradome prediction 2009 ·BMC Genomics ·Lawrence JK Wee,Joo Chuan Tong,Tin Wee Tan,Shoba Ranganathan	10
6	CASVM: web server for SVM-based prediction of caspase substrates cleavage sites 2007 ·Bioinformatics ·Lawrence JK Wee,Tin Wee Tan,Shoba Ranganathan	62
7	SVM-based prediction of caspase substrate cleavage sites 2006 ·BMC Bioinformatics ·Lawrence JK Wee,Tin Wee Tan,Shoba Ranganathan	51

About Lawrence JK Wee

Lawrence JK Wee is a scholar working on Computational Theory and Mathematics, Molecular Biology and Cancer Research, having authored 7 papers that have together received 952 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), vaccines and immunoinformatics approaches (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (319 citations), Oncology (368 citations) and Molecular Biology (658 citations). Lawrence JK Wee has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Tin Wee Tan, Paul Choi, Paul Robson, Iain Beehuat Tan, Debarka Sengupta, Elise T. Courtois, Yuliana Tan, Huipeng Li, Kok Hao Chen and Say Li Kong. Their work appears in journals such as Nature Genetics, Bioinformatics and PLoS ONE.

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