David A. Knowles

12.8k total citations · 4 hit papers
58 papers, 4.7k citations indexed

About

David A. Knowles is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, David A. Knowles has authored 58 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 16 papers in Genetics and 15 papers in Artificial Intelligence. Recurrent topics in David A. Knowles's work include Bayesian Methods and Mixture Models (10 papers), RNA modifications and cancer (10 papers) and Genetic Associations and Epidemiology (8 papers). David A. Knowles is often cited by papers focused on Bayesian Methods and Mixture Models (10 papers), RNA modifications and cancer (10 papers) and Genetic Associations and Epidemiology (8 papers). David A. Knowles collaborates with scholars based in United States, United Kingdom and Canada. David A. Knowles's co-authors include Yang Li, Jonathan K. Pritchard, David E. Golan, Yoav Gilad, Alvaro Barbeira, Hae Kyung Im, Zoubin Ghahramani, Kyle Kai‐How Farh, Wenwu Cui and Eric D. Chow and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David A. Knowles

56 papers receiving 4.6k 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.

Predicting Splicing from Primary Sequence with Deep Learning

2019 1.3k citations David A. Knowles, Yang Li et al. profile →
Opportunities and challenges for transcriptome-wide association studies

2019 506 citations Michael Wainberg, Nasa Sinnott-Armstrong et al. Nature Genetics profile →
Therapeutic reduction of ataxin-2 extends lifespan and reduces pathology in TDP-43 mice

2017 396 citations David A. Knowles et al. profile →
RNA splicing is a primary link between genetic variation and disease

2016 382 citations Yang Li, Bryce van de Geijn et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David A. Knowles United States	26	3.0k	1.4k	529	375	314	58	4.7k
P. Naresh Kumar United States	5	3.7k 1.2×	2.5k 1.8×	741 1.4×	236 0.6×	343 1.1×	7	6.5k
Jean Morissette Canada	22	4.1k 1.4×	2.7k 1.9×	682 1.3×	307 0.8×	275 0.9×	44	7.7k
David Kulp United States	20	3.3k 1.1×	1.1k 0.8×	283 0.5×	169 0.5×	161 0.5×	35	4.8k
Xiaoming Liu China	36	3.3k 1.1×	2.7k 1.9×	988 1.9×	131 0.3×	173 0.6×	234	6.6k
Denise Horn Germany	37	3.9k 1.3×	3.0k 2.1×	351 0.7×	132 0.4×	263 0.8×	134	6.1k
Daniele Merico Canada	31	3.8k 1.2×	1.6k 1.1×	1.1k 2.0×	116 0.3×	190 0.6×	78	6.6k
Jin Yu United States	12	3.0k 1.0×	3.0k 2.1×	748 1.4×	98 0.3×	161 0.5×	17	5.9k
Jennifer M. Lee United States	20	3.1k 1.0×	2.1k 1.5×	883 1.7×	99 0.3×	226 0.7×	47	5.3k
Arindam Bhattacharjee United States	15	3.5k 1.2×	1.3k 0.9×	978 1.8×	147 0.4×	105 0.3×	20	5.2k
Zhandong Liu United States	37	2.6k 0.9×	702 0.5×	641 1.2×	252 0.7×	107 0.3×	121	4.7k

Countries citing papers authored by David A. Knowles

Since Specialization

Citations

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

Fields of papers citing papers by David A. Knowles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Knowles. 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 David A. Knowles. The network helps show where David A. Knowles may publish in the future.

Co-authorship network of co-authors of David A. Knowles

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Knowles. A scholar is included among the top collaborators of David A. Knowles 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 David A. Knowles. David A. Knowles 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:

20 of 20 papers shown

Naito, Tatsuhiko, et al.. (2025). Leveraging functional annotations to map rare variants associated with Alzheimer disease with gruyere. The American Journal of Human Genetics. 112(9). 2138–2151.

Schertzer, Megan D., Keren Isaev, Laura C. J. Pereira, et al.. (2025). Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox. Nature Communications. 16(1). 6948–6948. 2 indexed citations

Maurer, Katie, Teddy Huang, Shuqiang Li, et al.. (2024). A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data. Genome Research. 34(9). 1384–1396. 4 indexed citations

Su, Jiayu, Xi Fu, Guojie Zhong, et al.. (2023). Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data. Genome biology. 24(1). 291–291. 3 indexed citations

Miotto, Mattia, et al.. (2023). Computational models of dopamine release measured by fast scan cyclic voltammetry in vivo. PNAS Nexus. 2(3). pgad044–pgad044. 1 indexed citations

Knowles, David A., et al.. (2023). LDmat: efficiently queryable compression of linkage disequilibrium matrices. Bioinformatics. 39(2). 3 indexed citations

Knowles, David A., et al.. (2022). Deep mendelian randomization: Investigating the causal knowledge of genomic deep learning models. PLoS Computational Biology. 18(10). e1009880–e1009880. 3 indexed citations

Balliu, Brunilda, Ivan Carcamo‐Orive, Michael J. Gloudemans, et al.. (2021). An integrated approach to identify environmental modulators of genetic risk factors for complex traits. The American Journal of Human Genetics. 108(10). 1866–1879. 16 indexed citations

Wainberg, Michael, Nasa Sinnott-Armstrong, Nicholas Mancuso, et al.. (2019). Opportunities and challenges for transcriptome-wide association studies. Nature Genetics. 51(4). 592–599. 506 indexed citations breakdown →

10.

Balliu, Brunilda, Matthew G. Durrant, Nathan S. Abell, et al.. (2019). Genetic regulation of gene expression and splicing during a 10-year period of human aging. Genome biology. 20(1). 230–230. 47 indexed citations

11.

Knowles, David A., et al.. (2019). Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features. PLoS Computational Biology. 15(5). e1006743–e1006743. 4 indexed citations

12.

Knowles, David A., Courtney K. Burrows, John Blischak, et al.. (2018). Determining the genetic basis of anthracycline-cardiotoxicity by molecular response QTL mapping in induced cardiomyocytes. eLife. 7. 71 indexed citations

13.

Knowles, David A., Joe R. Davis, Anil Raj, et al.. (2017). Allele-specific expression reveals interactions between genetic variation and environment. Nature Methods. 14(7). 699–702. 88 indexed citations

14.

Li, Yang, David A. Knowles, Jack Humphrey, et al.. (2017). Annotation-free quantification of RNA splicing using LeafCutter. Nature Genetics. 50(1). 151–158. 358 indexed citations

15.

Li, Yang, Bryce van de Geijn, Anil Raj, et al.. (2016). RNA splicing is a primary link between genetic variation and disease. Science. 352(6285). 600–604. 382 indexed citations breakdown →

16.

Shah, Amar, David A. Knowles, & Zoubin Ghahramani. (2015). An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process. Cambridge University Engineering Department Publications Database. 1594–1603. 3 indexed citations

17.

Knowles, David A., Zoubin Ghahramani, & Konstantina Palla. (2014). A reversible infinite HMM using normalised random measures. Cambridge University Engineering Department Publications Database. 1998–2006. 4 indexed citations

18.

Palla, Konstantina, Zoubin Ghahramani, & David A. Knowles. (2012). A nonparametric variable clustering model. Cambridge University Engineering Department Publications Database. 25. 2987–2995. 13 indexed citations

19.

Movassagh, Mehregan, Mun‐Kit Choy, David A. Knowles, et al.. (2011). Distinct Epigenomic Features in End-Stage Failing Human Hearts. Circulation. 124(22). 2411–2422. 217 indexed citations

20.

Knowles, David A. & Tom Minka. (2011). Non-conjugate Variational Message Passing for Multinomial and Binary Regression. Neural Information Processing Systems. 24. 1701–1709. 43 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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