Jonathan Taylor

12.7k total citations · 6 hit papers
78 papers, 6.5k citations indexed

About

Jonathan Taylor is a scholar working on Statistics and Probability, Infectious Diseases and Virology. According to data from OpenAlex, Jonathan Taylor has authored 78 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 14 papers in Infectious Diseases and 14 papers in Virology. Recurrent topics in Jonathan Taylor's work include Statistical Methods and Inference (26 papers), HIV/AIDS drug development and treatment (14 papers) and HIV Research and Treatment (14 papers). Jonathan Taylor is often cited by papers focused on Statistical Methods and Inference (26 papers), HIV/AIDS drug development and treatment (14 papers) and HIV Research and Treatment (14 papers). Jonathan Taylor collaborates with scholars based in United States, Canada and Israel. Jonathan Taylor's co-authors include Robert Tibshirani, Robert J. Adler, John D. Storey, David Siegmund, Ryan J. Tibshirani, Brian Knutson, Gary H. Glover, Matthew T. Kaufman, Richard Peterson and Richard Lockhart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of the American Statistical Association.

In The Last Decade

Jonathan Taylor

76 papers receiving 6.3k citations

Hit Papers

5 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.

Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach

2003 949 citations Jonathan Taylor et al. profile →
Distributed Neural Representation of Expected Value

2005 703 citations Brian Knutson, Jonathan Taylor et al. profile →
Random Fields and Geometry

2007 651 citations Robert J. Adler, Jonathan Taylor profile →
Strong Rules for Discarding Predictors in Lasso-Type Problems

2011 393 citations Robert Tibshirani, Trevor Hastie et al. profile →
An Introduction to Statistical Learning

2023 369 citations Trevor Hastie, Robert Tibshirani et al. profile →
A significance test for the lasso

2014 362 citations Richard Lockhart, Jonathan Taylor et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Taylor United States	33	1.4k	1.1k	1.0k	975	945	78	6.5k
Jie Chen China	32	797 0.6×	2.2k 2.0×	308 0.3×	581 0.6×	411 0.4×	205	6.4k
David A. Stephens Canada	30	1.0k 0.8×	512 0.5×	494 0.5×	292 0.3×	143 0.2×	142	4.3k
Brian Caffo United States	51	1.4k 1.0×	640 0.6×	3.6k 3.5×	204 0.2×	117 0.1×	228	10.1k
Rob Tibshirani United States	19	1.4k 1.0×	4.7k 4.2×	554 0.5×	259 0.3×	53 0.1×	28	14.2k
Gregory Campbell United States	28	490 0.4×	1.1k 1.0×	860 0.8×	279 0.3×	46 0.0×	89	8.3k
Xihong Lin United States	67	3.2k 2.3×	4.8k 4.3×	642 0.6×	772 0.8×	58 0.1×	320	19.9k
Pamela Hartigan United States	33	160 0.1×	328 0.3×	311 0.3×	763 0.8×	716 0.8×	88	6.1k
John D. Storey United States	40	2.6k 1.9×	15.2k 13.8×	631 0.6×	383 0.4×	210 0.2×	83	26.0k
Mary J. Lindstrom United States	43	1.0k 0.7×	1.2k 1.1×	232 0.2×	131 0.1×	50 0.1×	126	8.9k
Noah Simon United States	22	990 0.7×	1.2k 1.1×	134 0.1×	169 0.2×	42 0.0×	77	4.5k

Countries citing papers authored by Jonathan Taylor

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Taylor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Taylor

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

Li, Irene, Michael G. Ozawa, Christine Y. Yeh, et al.. (2022). Reconstructing codependent cellular cross-talk in lung adenocarcinoma using REMI. Science Advances. 8(11). eabi4757–eabi4757. 9 indexed citations

Tanigawa, Yosuke, Johanne Marie Justesen, Jonathan Taylor, et al.. (2021). Survival analysis on rare events using group-regularized multi-response Cox regression. Bioinformatics. 37(23). 4437–4443. 7 indexed citations

Benjamini, Yuval, Jonathan Taylor, & Rafael A. Irizarry. (2018). Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays. Journal of the American Statistical Association. 114(527). 1351–1365. 4 indexed citations

Tian, Xiaoying, et al.. (2017). Why adaptively collected data have negative bias and how to correct for it.. International Conference on Artificial Intelligence and Statistics. 1261–1269. 3 indexed citations

Lee, Jason D., Qiang Liu, Yuekai Sun, & Jonathan Taylor. (2017). Communication-efficient sparse regression. Journal of Machine Learning Research. 18(5). 115–144. 69 indexed citations

Taylor, Jonathan, et al.. (2016). Pliable Methods for Post-Selection Inference Under Convex Constraints. arXiv (Cornell University). 1 indexed citations

Zahir, Farah, Tracy Tucker, Sonia Mayo, et al.. (2016). Intragenic CNVs for epigenetic regulatory genes in intellectual disability: Survey identifies pathogenic and benign single exon changes. American Journal of Medical Genetics Part A. 170(11). 2916–2926. 12 indexed citations

Taylor, Jonathan & Robert Tibshirani. (2015). Statistical learning and selective inference. Proceedings of the National Academy of Sciences. 112(25). 7629–7634. 217 indexed citations

Lee, Jason D., Yuekai Sun, & Jonathan Taylor. (2015). Evaluating the statistical significance of biclusters. Neural Information Processing Systems. 28. 1324–1332. 6 indexed citations

10.

Taylor, Jonathan, Richard Lockhart, Ryan J. Tibshirani, & Robert Tibshirani. (2014). Exact Post-selection Inference for Forward Stepwise and Least Angle Regression. arXiv (Cornell University). 8 indexed citations

11.

Lee, Jason D. & Jonathan Taylor. (2014). Exact Post Model Selection Inference for Marginal Screening. arXiv (Cornell University). 27. 136–144. 7 indexed citations

12.

Lee, Jason D., Yuekai Sun, & Jonathan Taylor. (2013). On model selection consistency of penalized M-estimators: a geometric theory. Neural Information Processing Systems. 26. 342–350. 7 indexed citations

13.

Lee, Jason D., Dennis L. Sun, Yuekai Sun, & Jonathan Taylor. (2013). Exact inference after model selection via the Lasso. arXiv (Cornell University). 7 indexed citations

14.

Grosenick, Logan, et al.. (2011). A family of interpretable multivariate models for regression and classification of whole-brain fMRI data. arXiv (Cornell University). 9 indexed citations

15.

Grant, Philip, Jonathan Taylor, Andrew Nevins, et al.. (2010). International Cohort Analysis of the Antiviral Activities of Zidovudine and Tenofovir in the Presence of the K65R Mutation in Reverse Transcriptase. Antimicrobial Agents and Chemotherapy. 54(4). 1520–1525. 9 indexed citations

16.

Tibshirani, Ryan J. & Jonathan Taylor. (2010). Regularization Paths for Least Squares Problems with Generalized $\ell_1$ Penalties. arXiv (Cornell University). 1 indexed citations

17.

Adler, Robert J., Gennady Samorodnitsky, & Jonathan Taylor. (2010). Excursion sets of three classes of stable random fields. Advances in Applied Probability. 42(2). 293–318. 3 indexed citations

18.

Knutson, Brian, Jonathan Taylor, Matthew T. Kaufman, Richard L. Peterson, & Gary H. Glover. (2005). Distributed Neural Representation of Expected Value. SSRN Electronic Journal. 5 indexed citations

19.

Taylor, Jonathan, Robert Tibshirani, & Brad Efron. (2004). The 'miss rate' for the analysis of gene expression data. Biostatistics. 6(1). 111–117. 51 indexed citations

20.

Taylor, Jonathan, et al.. (1986). Medication selection errors made by pharmacy technicians in filling unit dose orders.. PubMed. 39(1). 9–12. 7 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.

Explore authors with similar magnitude of impact