Timothy E. Reddy

25.4k total citations · 4 hit papers
63 papers, 7.5k citations indexed

About

Timothy E. Reddy is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Timothy E. Reddy has authored 63 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Timothy E. Reddy's work include Genomics and Chromatin Dynamics (19 papers), CRISPR and Genetic Engineering (17 papers) and RNA and protein synthesis mechanisms (13 papers). Timothy E. Reddy is often cited by papers focused on Genomics and Chromatin Dynamics (19 papers), CRISPR and Genetic Engineering (17 papers) and RNA and protein synthesis mechanisms (13 papers). Timothy E. Reddy collaborates with scholars based in United States, Australia and Canada. Timothy E. Reddy's co-authors include Gregory E. Crawford, Charles A. Gersbach, Pratiksha I. Thakore, Christopher M. Vockley, Anthony D’Ippolito, Isaac B. Hilton, Ami M. Kabadi, R Myers, Alexias Safi and Lingyun Song and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Timothy E. Reddy

60 papers receiving 7.4k 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.

Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers

2015 1.3k citations Isaac B. Hilton, Anthony D’Ippolito et al. Nature Biotechnology profile →
RNA-guided gene activation by CRISPR-Cas9–based transcription factors

2013 1.0k citations Pablo Pérez‐Piñera, D. Dewran Koçak et al. Nature Methods profile →
Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements

2015 690 citations Pratiksha I. Thakore, Anthony D’Ippolito et al. Nature Methods profile →
Dynamic DNA methylation across diverse human cell lines and tissues

2013 512 citations Timothy E. Reddy, Gregory E. Crawford et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy E. Reddy United States	34	6.2k	1.7k	607	489	441	63	7.5k
Meelad M. Dawlaty United States	21	5.3k 0.8×	1.4k 0.8×	264 0.4×	272 0.6×	276 0.6×	39	5.9k
Barbara Panning United States	35	7.4k 1.2×	2.4k 1.4×	960 1.6×	712 1.5×	473 1.1×	66	8.8k
Albert W. Cheng United States	34	11.4k 1.8×	3.0k 1.7×	881 1.5×	684 1.4×	853 1.9×	51	13.0k
Lihua Julie Zhu United States	54	6.8k 1.1×	1.2k 0.7×	1.2k 2.0×	588 1.2×	656 1.5×	165	9.3k
Maximilian Haeussler United States	26	5.1k 0.8×	1.2k 0.7×	569 0.9×	736 1.5×	436 1.0×	45	6.3k
Jing-Ruey Joanna Yeh United States	28	4.8k 0.8×	1.1k 0.6×	296 0.5×	457 0.9×	342 0.8×	48	5.9k
Israel Steinfeld Israel	19	4.1k 0.7×	1.0k 0.6×	870 1.4×	358 0.7×	418 0.9×	27	5.5k
Eivind Valen Norway	30	6.1k 1.0×	1.0k 0.6×	1.4k 2.3×	604 1.2×	426 1.0×	50	7.5k
Zuzana Tóthová United States	23	6.5k 1.1×	705 0.4×	700 1.2×	511 1.0×	850 1.9×	47	8.4k
Qing Gao China	37	6.8k 1.1×	1.5k 0.9×	253 0.4×	230 0.5×	368 0.8×	105	9.1k

Countries citing papers authored by Timothy E. Reddy

Since Specialization

Citations

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

Fields of papers citing papers by Timothy E. Reddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. Reddy. 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 Timothy E. Reddy. The network helps show where Timothy E. Reddy may publish in the future.

Co-authorship network of co-authors of Timothy E. Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy E. Reddy. A scholar is included among the top collaborators of Timothy E. Reddy 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 Timothy E. Reddy. Timothy E. Reddy 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

Brewer, Kelly, Graham D. Johnson, Alejandro Barrera, et al.. (2025). Gene regulatory activity associated with polycystic ovary syndrome revealed DENND1A-dependent testosterone production. Nature Communications. 16(1). 7697–7697.

Reddy, Timothy E., et al.. (2025). Bayesian estimation of allele-specific expression in the presence of phasing uncertainty. Bioinformatics. 41(6).

Martz, Colin A., Andrew M. Waters, Alejandro Barrera, et al.. (2024). Mediator kinase inhibition impedes transcriptional plasticity and prevents resistance to ERK/MAPK-targeted therapy in KRAS-mutant cancers. npj Precision Oncology. 8(1). 124–124. 3 indexed citations

Barrera, Alejandro, et al.. (2023). Integrin α3 promotes T _H 17 cell polarization and extravasation during autoimmune neuroinflammation. Science Immunology. 8(88). eadg7597–eadg7597. 12 indexed citations

Swartz, Adam M., Michael C. Brown, Alejandro Barrera, et al.. (2023). Transcriptional and epigenetic regulators of human CD8+ T cell function identified through orthogonal CRISPR screens. Nature Genetics. 55(12). 2211–2223. 37 indexed citations

Dumitrascu, Bianca, Ian C. McDowell, Brian Jo, et al.. (2021). Causal network inference from gene transcriptional time-series response to glucocorticoids. PLoS Computational Biology. 17(1). e1008223–e1008223. 22 indexed citations

Black, Joshua B., Tyler S. Klann, Christopher E. Nelson, et al.. (2019). Targeted transcriptional modulation with type I CRISPR–Cas systems in human cells. Nature Biotechnology. 37(12). 1493–1501. 65 indexed citations

Majoros, William H., Young‐Sook Kim, Alejandro Barrera, et al.. (2019). Bayesian estimation of genetic regulatory effects in high-throughput reporter assays. Bioinformatics. 36(2). 331–338. 2 indexed citations

Johnson, Graham D., Alejandro Barrera, Ian C. McDowell, et al.. (2018). Human genome-wide measurement of drug-responsive regulatory activity. Nature Communications. 9(1). 5317–5317. 29 indexed citations

10.

Lea, Amanda J., Christopher M. Vockley, Rachel A. Johnston, et al.. (2018). Genome-wide quantification of the effects of DNA methylation on human gene regulation. eLife. 7. 85 indexed citations

11.

Majoros, William H., Carson Holt, Michael S. Campbell, et al.. (2018). Predicting gene structure changes resulting from genetic variants via exon definition features. Bioinformatics. 34(21). 3616–3623. 5 indexed citations

12.

D’Ippolito, Anthony, Ian C. McDowell, Alejandro Barrera, et al.. (2018). Pre-established Chromatin Interactions Mediate the Genomic Response to Glucocorticoids. Cell Systems. 7(2). 146–160.e7. 61 indexed citations

13.

McDowell, Ian C., Alejandro Barrera, Anthony D’Ippolito, et al.. (2018). Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Genome Research. 28(9). 1272–1284. 79 indexed citations

14.

Klann, Tyler S., Joshua B. Black, Malathi Chellappan, et al.. (2017). CRISPR–Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome. Nature Biotechnology. 35(6). 561–568. 285 indexed citations

15.

Thakore, Pratiksha I., Anthony D’Ippolito, Lingyun Song, et al.. (2015). Highly specific epigenome editing by CRISPR-Cas9 repressors for silencing of distal regulatory elements. Nature Methods. 12(12). 1143–1149. 690 indexed citations breakdown →

16.

Hilton, Isaac B., Anthony D’Ippolito, Christopher M. Vockley, et al.. (2015). Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers. Nature Biotechnology. 33(5). 510–517. 1343 indexed citations breakdown →

17.

Vockley, Christopher M., Cong Guo, William H. Majoros, et al.. (2015). Massively parallel quantification of the regulatory effects of noncoding genetic variation in a human cohort. Genome Research. 25(8). 1206–1214. 70 indexed citations

18.

Ousterout, David G., Ami M. Kabadi, Pratiksha I. Thakore, et al.. (2015). Multiplex CRISPR/Cas9-based genome editing for correction of dystrophin mutations that cause Duchenne muscular dystrophy. Nature Communications. 6(1). 6244–6244. 338 indexed citations

19.

Guo, Cong, Anton E. Ludvik, Michelle Arlotto, et al.. (2015). Coordinated regulatory variation associated with gestational hyperglycaemia regulates expression of the novel hexokinase HKDC1. Nature Communications. 6(1). 6069–6069. 74 indexed citations

20.

Polstein, Lauren R., Pablo Pérez‐Piñera, D. Dewran Koçak, et al.. (2015). Genome-wide specificity of DNA binding, gene regulation, and chromatin remodeling by TALE- and CRISPR/Cas9-based transcriptional activators. Genome Research. 25(8). 1158–1169. 105 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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