Ken S. Lau

7.9k total citations · 2 hit papers
96 papers, 3.4k citations indexed

About

Ken S. Lau is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ken S. Lau has authored 96 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 24 papers in Oncology and 17 papers in Immunology. Recurrent topics in Ken S. Lau's work include Single-cell and spatial transcriptomics (30 papers), Cancer Cells and Metastasis (15 papers) and Cell Image Analysis Techniques (14 papers). Ken S. Lau is often cited by papers focused on Single-cell and spatial transcriptomics (30 papers), Cancer Cells and Metastasis (15 papers) and Cell Image Analysis Techniques (14 papers). Ken S. Lau collaborates with scholars based in United States, Canada and Netherlands. Ken S. Lau's co-authors include James W. Dennis, James Dennis, Michael A. Demetriou, Ani Grigorian, Emily A. Partridge, Vernon N. Reinhold, Alan J. Simmons, Eliot T. McKinley, Robert J. Coffey and Kevin M. Haigis and has published in prestigious journals such as Cell, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ken S. Lau

88 papers receiving 3.3k 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.

Complex N-Glycan Number and Degree of Branching Cooperate to Regulate Cell Proliferation and Differentiation

2007 728 citations Ken S. Lau, Emily A. Partridge et al. profile →
Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer

2023 126 citations Cody N. Heiser, Ken S. Lau et al. profile →

Peers

Countries citing papers authored by Ken S. Lau

Since Specialization

Citations

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

Fields of papers citing papers by Ken S. Lau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken S. Lau. 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 Ken S. Lau. The network helps show where Ken S. Lau may publish in the future.

Co-authorship network of co-authors of Ken S. Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Ken S. Lau. A scholar is included among the top collaborators of Ken S. Lau 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 Ken S. Lau. Ken S. Lau 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

#	Work	Indexed citations
1	Coordinated changes in stromal and hematopoietic cells that define the perinatal to juvenile transition in the mouse thymus 2025 ·Cell Reports ·(unknown), Colin E. Moore, (unknown), Seungwoo Kang, Bryan R. Helm, Jayashree Srinivasan, (unknown), Erin Baker, (unknown), (unknown), (unknown), Andrew N. Macintyre, Ken S. Lau, Laura P. Hale, Qi Liu, Nancy R. Manley, Lauren I. R. Ehrlich, Ellen R. Richie	0
2	Enhancing Clinical Data Management Through Barcode Integration and Research Electronic Data Capture: Scalable and Adaptable Implementation Study 2025 ·JMIR Formative Research ·(unknown), (unknown), (unknown), (unknown), (unknown), Karthik Ramadass, (unknown), (unknown), Lianrui Zuo, Yike Li, Zhiyu Wan, Paul A. Harris, Qi Liu, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman, Shunxing Bao	0
3	PoweREST: Statistical power estimation for spatial transcriptomics experiments to detect differentially expressed genes between two conditions 2025 ·PLoS Computational Biology ·(unknown), Anirban Maitra, Ying Yuan, Ken S. Lau, (unknown), Liang Li, Ziyi Li	1
4	Temporally discordant chromatin accessibility and DNA demethylation define short- and long-term enhancer regulation during cell fate specification 2025 ·Cell Reports ·(unknown), (unknown), (unknown), Annelie Johansson, Fabio Puddu, (unknown), (unknown), Alan J. Simmons, Ken S. Lau, Rebecca A. Ihrie, Emily Hodges	3
5	3D collagen high-throughput screen identifies drugs that induce epithelial polarity and enhance chemotherapy response in colorectal cancer 2025 ·Communications Biology ·(unknown), Thomas P. Hasaka, (unknown), (unknown), Marisol Ramirez, (unknown), Zhiguo Zhao, Oleg Kovtun, (unknown), Qi Liu, Ken S. Lau, Robert J. Coffey, Joshua A. Bauer, Bhuminder Singh	0
6	Pancreatic islet β-cell subtypes are derived from biochemically-distinct and nutritionally-regulated islet progenitors 2025 ·Nature Communications ·(unknown), (unknown), (unknown), Ruiying Hu, Prasanna K. Dadi, Alan J. Simmons, Yanwen Xu, (unknown), (unknown), (unknown), Leesa Sampson, Mark A. Magnuson, David A. Jacobson, Ken S. Lau, Emily Hodges, Guoqiang Gu	0
7	Consensus tissue domain detection in spatial omics data using multiplex image labeling with regional morphology (MILWRM) 2024 ·Communications Biology ·(unknown), Cody N. Heiser, Eliot T. McKinley, Lissa Ventura‐Antunes, (unknown), Joseph T. Roland, Melissa A. Farrow, (unknown), (unknown), John F. Moore, Lauren I. R. Ehrlich, Martha J. Shrubsole, Jeffrey M. Spraggins, Robert J. Coffey, Ken S. Lau, Simon Vandekar	1
8	The Hallmarks of Precancer 2024 ·Cancer Discovery ·(unknown), Zhengyi Chen, Jimin Min, Sarah E. Glass, J. Jackson, Megan D. Radyk, (unknown), W. Nathaniel Brennen, Ming Yu, Huy Q. Dinh, Robert J. Coffey, Martha J. Shrubsole, Keith Syson Chan, William M. Grady, Srinivasan Yegnasubramanian, Costas A. Lyssiotis, Anirban Maitra, Richard B. Halberg, Neelendu Dey, Ken S. Lau	11
9	GammaGateR: semi-automated marker gating for single-cell multiplexed imaging 2024 ·Bioinformatics ·(unknown), (unknown), Cody N. Heiser, Eliot T. McKinley, Joseph T. Roland, Robert J. Coffey, Martha J. Shrubsole, Julia Wrobel, Siyuan Ma, Ken S. Lau, Simon Vandekar	1
10	MTGR1 is required to maintain small intestinal stem cell populations 2024 ·Cell Death and Differentiation ·Sarah P. Short, Rachel E. Brown, Zhengyi Chen, Jennifer M. Pilat, (unknown), Leslie M. Meenderink, (unknown), (unknown), Justin Jacobse, Jing Wang, Alan J. Simmons, Yanwen Xu, (unknown), Bobak Parang, Yash A. Choksi, Jeremy A. Goettel, Ken S. Lau, Scott W. Hiebert, Christopher S. Williams	1
11	Advances in Mapping Tumor Progression from Precancer Atlases 2023 ·Cancer Prevention Research ·Zhengyi Chen, Ken S. Lau	8
12	SELENOP modifies sporadic colorectal carcinogenesis and WNT signaling activity through LRP5/6 interactions 2023 ·Journal of Clinical Investigation ·Jennifer M. Pilat, Rachel E. Brown, Zhengyi Chen, (unknown), (unknown), M. Kay Washington, (unknown), Suguru Kurokawa, (unknown), Joshua J. Thompson, Justin Jacobse, Jeremy A. Goettel, Ethan Lee, Yash A. Choksi, Ken S. Lau, Sarah P. Short, Christopher S. Williams	11
13	Matrix stiffness enhances cancer-macrophage interactions and M2-like macrophage accumulation in the breast tumor microenvironment 2022 ·Acta Biomaterialia ·Paul Taufalele, Wenjun Wang, Alan J. Simmons, Austin N. Southard-Smith, Bob Chen, Joshua D. Greenlee, Michael R. King, Ken S. Lau, Duane C. Hassane, François Bordeleau, Cynthia A. Reinhart‐King	50
14	Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images 2021 ·Bioinformatics ·(unknown), Eliot T. McKinley, Joseph T. Roland, Qi Liu, Martha J. Shrubsole, Ken S. Lau, Robert J. Coffey, Julia Wrobel, Simon Vandekar	17
15	Use of Single-Cell -Omic Technologies to Study the Gastrointestinal Tract and Diseases, From Single Cell Identities to Patient Features 2020 ·Gastroenterology ·Mirazul Islam, Bob Chen, Jeffrey M. Spraggins, Ryan Kelly, Ken S. Lau	19
16	An interspecies translation model implicates integrin signaling in infliximab-resistant inflammatory bowel disease 2020 ·Science Signaling ·Douglas K. Brubaker, Manu P. Kumar, Evan L. Chiswick, (unknown), Alina Starchenko, Paige N. Vega, Austin N. Southard-Smith, Alan J. Simmons, Elizabeth Scoville, Lori A. Coburn, Keith T. Wilson, Ken S. Lau, Douglas A. Lauffenburger	27
17	DSS-induced damage to basement membranes is repaired by matrix replacement and crosslinking 2019 ·Journal of Cell Science ·(unknown), (unknown), Aidan M. Fenix, Cherie’ R. Scurrah, Ken S. Lau, Dylan T. Burnette, Gautam Bhave, Nicholas Ferrell, Andrea Page-McCaw	24
18	Intracellular Degradation of Helicobacter pylori VacA Toxin as a Determinant of Gastric Epithelial Cell Viability 2019 ·Infection and Immunity ·Nora J. Foegeding, Krishnan Raghunathan, A. Malcolm Campbell, Sun Wook Kim, Ken S. Lau, Anne K. Kenworthy, Timothy L. Cover, Melanie D. Ohi	20
19	Correction: Multi-Scale In Vivo Systems Analysis Reveals the Influence of Immune Cells on TNF-α-Induced Apoptosis in the Intestinal Epithelium 2012 ·PLoS Biology ·Ken S. Lau, Virna Cortez‐Retamozo, (unknown), Mikäel J. Pittet, Douglas A. Lauffenburger, Kevin M. Haigis	3
20	Complex N -Glycan and Metabolic Control in Tumor Cells 2007 ·Cancer Research ·Richard Mendelsohn, Pam Cheung, Lloyd Berger, Emily A. Partridge, Ken S. Lau, Alessandro Datti, Judy Pawling, James W. Dennis	45

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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