Chris Lau

6.7k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Chris Lau is a scholar working on Molecular Biology, Cognitive Neuroscience and Biophysics. According to data from OpenAlex, Chris Lau has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 4 papers in Biophysics. Recurrent topics in Chris Lau's work include Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (5 papers). Chris Lau is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (5 papers). Chris Lau collaborates with scholars based in United States, Spain and United Kingdom. Chris Lau's co-authors include Lydia Ng, Michael Hawrylycz, Susan M. Sunkin, Chinh Dang, Carol L. Thompson, Terri L. Gilbert, Tim Dolbeare, Amy Bernard, Allan R. Jones and Ed S. Lein and has published in prestigious journals such as Nucleic Acids Research, Nature Neuroscience and Genome biology.

In The Last Decade

Chris Lau

17 papers receiving 1.1k 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.

Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system

2012 497 citations Susan M. Sunkin, Lydia Ng et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Lau United States	12	584	288	192	163	145	17	1.2k
Chinh Dang United States	7	622 1.1×	355 1.2×	340 1.8×	176 1.1×	134 0.9×	10	1.3k
Christoph Kirst United States	14	589 1.0×	330 1.1×	315 1.6×	254 1.6×	64 0.4×	23	1.5k
Alix M.B. Lacoste United States	12	396 0.7×	182 0.6×	217 1.1×	72 0.4×	110 0.8×	15	1.1k
Caroline C. Overly United States	9	594 1.0×	177 0.6×	252 1.3×	83 0.5×	85 0.6×	10	1.1k
Trygve E. Bakken United States	16	849 1.5×	295 1.0×	217 1.1×	60 0.4×	431 3.0×	23	1.4k
Julián Taranda United States	16	578 1.0×	374 1.3×	371 1.9×	301 1.8×	38 0.3×	22	1.5k
Shreejoy J. Tripathy Canada	20	578 1.0×	467 1.6×	537 2.8×	93 0.6×	139 1.0×	58	1.6k
José Marcelo Farfel Brazil	7	451 0.8×	359 1.2×	390 2.0×	38 0.2×	96 0.7×	9	1.5k
Marcelo Cicconet United States	13	759 1.3×	130 0.5×	244 1.3×	171 1.0×	41 0.3×	29	1.3k
Thuc Nghi Nguyen United States	12	388 0.7×	406 1.4×	303 1.6×	69 0.4×	100 0.7×	16	1.2k

Countries citing papers authored by Chris Lau

Since Specialization

Citations

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

Fields of papers citing papers by Chris Lau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Lau

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Lau, Chris. (2017). Leaders and Laggards: Tackling State Legislative Responses to the Youth Sports Concussion Epidemic. Fordham law review. 85(6). 2879. 1 indexed citations

Feng, David, Chris Lau, Lydia Ng, et al.. (2015). Exploration and visualization of connectivity in the adult mouse brain. Methods. 73. 90–97. 11 indexed citations

Kuan, Leonard, Yang Li, Chris Lau, et al.. (2014). Neuroinformatics of the Allen Mouse Brain Connectivity Atlas. Methods. 73. 4–17. 131 indexed citations

Ng, Lydia, Susan M. Sunkin, David Feng, et al.. (2012). Large-Scale Neuroinformatics for In Situ Hybridization Data in the Mouse Brain. International review of neurobiology. 104. 159–182. 5 indexed citations

Sunkin, Susan M., Lydia Ng, Chris Lau, et al.. (2012). Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system. Nucleic Acids Research. 41(D1). D996–D1008. 497 indexed citations breakdown →

Hawrylycz, Mike, Lydia Ng, Damon T. Page, et al.. (2011). Multi-scale correlation structure of gene expression in the brain. Neural Networks. 24(9). 933–942. 27 indexed citations

Hawrylycz, Michael, Richard Baldock, Albert Burger, et al.. (2011). Digital Atlasing and Standardization in the Mouse Brain. PLoS Computational Biology. 7(2). e1001065–e1001065. 80 indexed citations

Hawrylycz, Michael, Richard Baldock, Albert Burger, et al.. (2011). Correction: Digital Atlasing and Standardization in the Mouse Brain. PLoS Computational Biology. 7(2). 12 indexed citations

Drews, Steven J., et al.. (2010). Laboratory based surveillance of travel-related Shigella sonnei and Shigella flexneri in Alberta from 2002 to 2007. Globalization and Health. 6(1). 20–20. 15 indexed citations

10.

Aguinaldo, Jeffrey P., Winston Husbands, James Murray, et al.. (2010). “It's not rocket science, what I do”: Self-directed harm reduction strategies among drug using ethno-racially diverse gay and bisexual men. International Journal of Drug Policy. 22(1). 56–62. 27 indexed citations

11.

Ng, Lydia, Amy Bernard, Chris Lau, et al.. (2009). An anatomic gene expression atlas of the adult mouse brain. Nature Neuroscience. 12(3). 356–362. 211 indexed citations

12.

Hawrylycz, Mike, Amy Bernard, Chris Lau, et al.. (2009). Areal and laminar differentiation in the mouse neocortex using large scale gene expression data. Methods. 50(2). 113–121. 30 indexed citations

13.

Ng, Lydia, Chris Lau, Susan M. Sunkin, et al.. (2009). Surface-based mapping of gene expression and probabilistic expression maps in the mouse cortex. Methods. 50(2). 55–62. 14 indexed citations

14.

Lee, Chang‐Kyu, Susan M. Sunkin, Chihchau L. Kuan, et al.. (2008). Quantitative methods for genome-scale analysis of in situ hybridization and correlation with microarray data. Genome biology. 9(1). R23–R23. 26 indexed citations

15.

Ng, Lydia, Chris Lau, Rob Young, et al.. (2007). NeuroBlast: a 3D spatial homology search tool for gene expression. BMC Neuroscience. 8(S2). 9 indexed citations

16.

Spelsberg, Thomas C., J. J. Rejman, Amy Goldberger, et al.. (1989). Steroid Action on Gene Expression: Possible Roles of Regulatory Genes and Nuclear Acceptor Sites1. Biology of Reproduction. 40(1). 54–69. 47 indexed citations

17.

Bray, Paul F., Jean‐Philippe Rosa, Richard G. Cook, et al.. (1987). Chromosomal Localization and Tissue Expression. 9 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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