Christopher Yau

19.4k total citations · 2 hit papers
70 papers, 3.2k citations indexed

About

Christopher Yau is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Christopher Yau has authored 70 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Artificial Intelligence and 14 papers in Cancer Research. Recurrent topics in Christopher Yau's work include Cancer Genomics and Diagnostics (13 papers), Single-cell and spatial transcriptomics (12 papers) and Bayesian Methods and Mixture Models (10 papers). Christopher Yau is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), Single-cell and spatial transcriptomics (12 papers) and Bayesian Methods and Mixture Models (10 papers). Christopher Yau collaborates with scholars based in United Kingdom, United States and Australia. Christopher Yau's co-authors include Emma Pierson, Chris Holmes, Jiannis Ragoussis, Justina Žurauskienė, Kieran R. Campbell, Kaspar Märtens, Andrew Gelman, Bianca Kramer, Joukje E. Willemsen and Marina Vannucci and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Neuron.

In The Last Decade

Christopher Yau

68 papers receiving 3.1k 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.

Bayesian statistics and modelling

2021 616 citations Rens van de Schoot, Sarah Depaoli et al. Nature Reviews Methods Primers profile →
ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis

2015 392 citations Christopher Yau et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Yau United Kingdom	23	1.6k	746	521	365	192	70	3.2k
Guido Sanguinetti United Kingdom	37	2.6k 1.6×	560 0.8×	355 0.7×	488 1.3×	161 0.8×	135	4.2k
Magnus Rattray United Kingdom	38	2.3k 1.4×	562 0.8×	224 0.4×	502 1.4×	310 1.6×	128	4.0k
Barbara E. Engelhardt United States	26	3.1k 2.0×	1.8k 2.4×	622 1.2×	424 1.2×	154 0.8×	79	5.1k
David A. Knowles United States	26	3.0k 1.9×	1.4k 1.9×	529 1.0×	211 0.6×	123 0.6×	58	4.7k
Michael Buckley United States	48	3.2k 2.0×	817 1.1×	359 0.7×	155 0.4×	87 0.5×	171	6.4k
Quanli Wang United States	24	2.3k 1.4×	898 1.2×	693 1.3×	257 0.7×	55 0.3×	59	4.2k
Olli Yli‐Harja Finland	37	2.7k 1.7×	523 0.7×	358 0.7×	430 1.2×	109 0.6×	230	4.9k
Alexander J. Hartemink United States	33	3.5k 2.2×	695 0.9×	153 0.3×	618 1.7×	273 1.4×	65	4.8k
Casey S. Greene United States	38	2.8k 1.7×	787 1.1×	457 0.9×	699 1.9×	87 0.5×	144	4.9k
Ying Ding United States	38	1.7k 1.1×	310 0.4×	419 0.8×	274 0.8×	96 0.5×	202	4.4k

Countries citing papers authored by Christopher Yau

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Yau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Yau

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Yau. A scholar is included among the top collaborators of Christopher Yau 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 Christopher Yau. Christopher Yau 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

Singh, Megha, Kelvin Okoth, Kym I E Snell, et al.. (2024). Association between pregnancy-related complications and development of type 2 diabetes and hypertension in women: an umbrella review. BMC Medicine. 22(1). 66–66. 8 indexed citations

Yau, Christopher, et al.. (2024). Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling. BMC Bioinformatics. 25(1). 104–104. 1 indexed citations

Yau, Christopher, et al.. (2023). On the Difficulty of Predicting Engagement with Digital Health for Substance Use. Studies in health technology and informatics. 302. 967–971. 2 indexed citations

Foguet, Carles, Yu Xu, Scott C. Ritchie, et al.. (2022). Genetically personalised organ-specific metabolic models in health and disease. Nature Communications. 13(1). 7356–7356. 13 indexed citations

Wanigasooriya, Kasun, João D. Barros‐Silva, Louise Tee, et al.. (2022). Patient Derived Organoids Confirm That PI3K/AKT Signalling Is an Escape Pathway for Radioresistance and a Target for Therapy in Rectal Cancer. Frontiers in Oncology. 12. 920444–920444. 11 indexed citations

Nichols, Linda O., Tom Taverner, Francesca L. Crowe, et al.. (2022). In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm. Journal of Clinical Epidemiology. 152. 164–175. 18 indexed citations

Crowe, Francesca L., Shakila Thangaratinam, Colin McCowan, et al.. (2022). Protocol for development and validation of postpartum cardiovascular disease (CVD) risk prediction model incorporating reproductive and pregnancy-related candidate predictors. SHILAP Revista de lepidopterología. 6(1). 23–23. 2 indexed citations

Elison, Sarah, Kaspar Märtens, Christopher Yau, Glyn Davies, & Jonathan Ward. (2021). Associations between baseline opioid use disorder severity, mental health and biopsychosocial functioning, with clinical responses to computer-assisted therapy treatment. The American Journal of Drug and Alcohol Abuse. 47(3). 1–13. 4 indexed citations

Schoot, Rens van de, Sarah Depaoli, Ruth King, et al.. (2021). Bayesian statistics and modelling. Nature Reviews Methods Primers. 1(1). 616 indexed citations breakdown →

10.

Campbell, Kieran R. & Christopher Yau. (2018). A descriptive marker gene approach to single-cell pseudotime inference. Bioinformatics. 35(1). 28–35. 23 indexed citations

11.

Holmes, Chris, et al.. (2018). Probabilistic boolean tensor decomposition. Research Explorer (The University of Manchester). 10. 4413–4422. 6 indexed citations

12.

Campbell, Kieran R. & Christopher Yau. (2018). Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data. Nature Communications. 9(1). 2442–2442. 71 indexed citations

13.

Yau, Christopher, et al.. (2017). Testing and learning on distributions with symmetric noise invariance. Oxford University Research Archive (ORA) (University of Oxford). 30. 1343–1353. 1 indexed citations

14.

Holmes, Chris, et al.. (2017). Bayesian Boolean Matrix Factorisation. Research Explorer (The University of Manchester). 6. 2969–2978. 6 indexed citations

15.

Campbell, Kieran R. & Christopher Yau. (2016). switchde: inference of switch-like differential expression along single-cell trajectories. Bioinformatics. 33(8). 1241–1242. 26 indexed citations

16.

Titsias, Michalis K. & Christopher Yau. (2014). Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models. Research Explorer (The University of Manchester). 27. 2960–2968. 2 indexed citations

17.

McGuinness, Lindsay, Chanel J. Taylor, R Taylor, et al.. (2010). Presynaptic NMDARs in the Hippocampus Facilitate Transmitter Release at Theta Frequency. Neuron. 68(6). 1109–1127. 100 indexed citations

18.

Lee, Anthony, Christopher Yau, Michael B. Giles, Randal Douc, & Chris Holmes. (2009). On the utility of graphics cards to perform massively parallel\nsimulation with advanced Monte Carlo methods.. Oxford University Research Archive (ORA) (University of Oxford). 151 indexed citations

19.

Yau, Christopher & Chris Holmes. (2008). CNV discovery using SNP genotyping arrays. Cytogenetic and Genome Research. 123(1-4). 307–312. 40 indexed citations

20.

Colella, Stefano, Christopher Yau, Jennifer M. Taylor, et al.. (2007). QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data. Nucleic Acids Research. 35(6). 2013–2025. 400 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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