David G. Hendrickson

7.6k total citations · 2 hit papers
23 papers, 4.9k citations indexed

About

David G. Hendrickson is a scholar working on Molecular Biology, Cancer Research and Aging. According to data from OpenAlex, David G. Hendrickson has authored 23 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Aging. Recurrent topics in David G. Hendrickson's work include RNA Research and Splicing (11 papers), Cancer-related molecular mechanisms research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). David G. Hendrickson is often cited by papers focused on RNA Research and Splicing (11 papers), Cancer-related molecular mechanisms research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). David G. Hendrickson collaborates with scholars based in United States, Sweden and India. David G. Hendrickson's co-authors include John L. Rinn, Loyal A. Goff, Martin Sauvageau, Cole Trapnell, Lior Pachter, David R. Kelley, Patrick O. Brown, Daniel J. Hogan, Daniel Herschlag and James E. Ferrell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

David G. Hendrickson

23 papers receiving 4.9k 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.

Differential analysis of gene regulation at transcript resolution with RNA-seq

2012 2.6k citations Cole Trapnell, David G. Hendrickson et al. Nature Biotechnology profile →
Topological organization of multichromosomal regions by the long intergenic noncoding RNA Firre

2014 490 citations Ezgi Hacisuleyman, Loyal A. Goff et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David G. Hendrickson United States	18	3.7k	1.7k	585	394	384	23	4.9k
Martin Sauvageau Canada	16	3.8k 1.0×	1.6k 0.9×	548 0.9×	465 1.2×	431 1.1×	19	5.0k
Cei Abreu‐Goodger Mexico	35	4.0k 1.1×	2.2k 1.3×	820 1.4×	538 1.4×	550 1.4×	67	5.7k
Jeff Coller United States	36	7.1k 1.9×	1.8k 1.1×	384 0.7×	474 1.2×	346 0.9×	56	7.8k
Julie Donaghey United States	13	5.2k 1.4×	2.3k 1.4×	464 0.8×	766 1.9×	315 0.8×	14	6.2k
Marc R. Fabian Canada	31	5.8k 1.6×	3.3k 2.0×	714 1.2×	273 0.7×	550 1.4×	58	7.4k
David J. Arenillas Canada	15	3.7k 1.0×	734 0.4×	434 0.7×	623 1.6×	449 1.2×	28	4.6k
Anthony Mathelier Norway	26	4.9k 1.3×	1.2k 0.7×	684 1.2×	923 2.3×	551 1.4×	59	6.2k
Tingting Du China	27	5.2k 1.4×	2.5k 1.5×	1.3k 2.1×	452 1.1×	427 1.1×	105	6.5k
Chanseok Shin South Korea	27	5.9k 1.6×	4.2k 2.5×	784 1.3×	296 0.8×	521 1.4×	61	7.3k
Jianlong Wang United States	37	5.5k 1.5×	950 0.6×	569 1.0×	553 1.4×	351 0.9×	121	6.5k

Countries citing papers authored by David G. Hendrickson

Since Specialization

Citations

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

Fields of papers citing papers by David G. Hendrickson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David G. Hendrickson

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

O’Brien, Jonathon J., Anil Raj, Adam James Waite, et al.. (2023). A data analysis framework for combining multiple batches increases the power of isobaric proteomics experiments. Nature Methods. 21(2). 290–300. 6 indexed citations

Roux, Antoine E., Han Yuan, Katie Podshivalova, et al.. (2023). Individual cell types in C. elegans age differently and activate distinct cell-protective responses. Cell Reports. 42(8). 112902–112902. 50 indexed citations

Kimmel, Jacob C., et al.. (2021). Differentiation reveals latent features of aging and an energy barrier in murine myogenesis. Cell Reports. 35(4). 109046–109046. 22 indexed citations

Gibney, Patrick A., Anqi Chen, Jonathan C. Chen, et al.. (2020). A tps1Δ persister-like state in Saccharomyces cerevisiae is regulated by MKT1. PLoS ONE. 15(5). e0233779–e0233779. 7 indexed citations

Bernstein, Nicholas, et al.. (2020). Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning. Cell Systems. 11(1). 95–101.e5. 108 indexed citations

Hackett, Sean R., Edward A. Baltz, Marc Coram, et al.. (2020). Learning causal networks using inducible transcription factors and transcriptome‐wide time series. Molecular Systems Biology. 16(3). e9174–e9174. 40 indexed citations

Kimmel, Jacob C., Lolita Penland, Nimrod D. Rubinstein, et al.. (2019). Murine single-cell RNA-seq reveals cell-identity- and tissue-specific trajectories of aging. Genome Research. 29(12). 2088–2103. 108 indexed citations

Hendrickson, David G., Ilya Soifer, Bernd J. Wranik, David Botstein, & R. Scott McIsaac. (2018). Simultaneous Profiling of DNA Accessibility and Gene Expression Dynamics with ATAC-Seq and RNA-Seq. Methods in molecular biology. 1819. 317–333. 13 indexed citations

Hendrickson, David G., et al.. (2017). An estradiol‐inducible promoter enables fast, graduated control of gene expression in fission yeast. Yeast. 34(8). 323–334. 20 indexed citations

10.

Hendrickson, David G., David R. Kelley, Danielle Tenen, B Bernstein, & John L. Rinn. (2016). Widespread RNA binding by chromatin-associated proteins. Genome biology. 17(1). 28–28. 183 indexed citations

11.

Ng, Shi‐Yan, Boon-Seng Soh, Natalia Rodríguez‐Muela, et al.. (2015). Genome-wide RNA-Seq of Human Motor Neurons Implicates Selective ER Stress Activation in Spinal Muscular Atrophy. Cell stem cell. 17(5). 569–584. 95 indexed citations

12.

Kelley, David R., David G. Hendrickson, Danielle Tenen, & John L. Rinn. (2014). Transposable elements modulate human RNA abundance and splicing via specific RNA-protein interactions. Genome biology. 15(12). 537–537. 64 indexed citations

13.

Hacisuleyman, Ezgi, Loyal A. Goff, Cole Trapnell, et al.. (2014). Topological organization of multichromosomal regions by the long intergenic noncoding RNA Firre. Nature Structural & Molecular Biology. 21(2). 198–206. 490 indexed citations breakdown →

14.

Isobe, Taichi, Shigeo Hisamori, Daniel J. Hogan, et al.. (2014). miR-142 regulates the tumorigenicity of human breast cancer stem cells through the canonical WNT signaling pathway. eLife. 3. 155 indexed citations

15.

Sun, Lei, Loyal A. Goff, Cole Trapnell, et al.. (2013). Long noncoding RNAs regulate adipogenesis. Proceedings of the National Academy of Sciences. 110(9). 3387–3392. 344 indexed citations

16.

Trapnell, Cole, David G. Hendrickson, Martin Sauvageau, et al.. (2012). Differential analysis of gene regulation at transcript resolution with RNA-seq. Nature Biotechnology. 31(1). 46–53. 2628 indexed citations breakdown →

17.

Hendrickson, David G., Daniel J. Hogan, Heather McCullough, et al.. (2009). Concordant Regulation of Translation and mRNA Abundance for Hundreds of Targets of a Human microRNA. PLoS Biology. 7(11). e1000238–e1000238. 333 indexed citations

18.

Hendrickson, David G., Daniel J. Hogan, Daniel Herschlag, James E. Ferrell, & Patrick O. Brown. (2008). Systematic Identification of mRNAs Recruited to Argonaute 2 by Specific microRNAs and Corresponding Changes in Transcript Abundance. PLoS ONE. 3(5). e2126–e2126. 147 indexed citations

19.

Hendrickson, David G., Daniel J. Hogan, Daniel Herschlag, James E. Ferrell, & Patrick O. Brown. (2008). Correction: Systematic Identification of mRNAs Recruited to Argonaute 2 by Specific microRNAs and Corresponding Changes in Transcript Abundance. PLoS ONE. 3(11). 3 indexed citations

20.

Sakai, A., et al.. (2000). Mechanism of the oxidation of para-substituted 1-phenylethanols with sodium hypochlorite in acetic acid. Tetrahedron Letters. 41(16). 2759–2763. 6 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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