David Auble

3.0k total citations
54 papers, 2.5k citations indexed

About

David Auble is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, David Auble has authored 54 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Nutrition and Dietetics. Recurrent topics in David Auble's work include Genomics and Chromatin Dynamics (29 papers), RNA Research and Splicing (17 papers) and RNA and protein synthesis mechanisms (16 papers). David Auble is often cited by papers focused on Genomics and Chromatin Dynamics (29 papers), RNA Research and Splicing (17 papers) and RNA and protein synthesis mechanisms (16 papers). David Auble collaborates with scholars based in United States, Bangladesh and Germany. David Auble's co-authors include Steven Hahn, Constance Brinckerhoff, Elizabeth A. Hoffman, Brian L. Frey, Lloyd M. Smith, Pieter L. deHaseth, Arindam Das-Gupta, Christopher G. Mueller, W S Lane and Jeremy Thorner and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David Auble

54 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Auble United States 28 2.0k 360 177 153 141 54 2.5k
Steffen Ohlmeier Finland 24 1.1k 0.5× 273 0.8× 91 0.5× 100 0.7× 112 0.8× 44 1.9k
Koichiro Kishi Japan 27 2.0k 1.0× 465 1.3× 169 1.0× 120 0.8× 187 1.3× 162 2.8k
Arie B. Brinkman Netherlands 23 2.7k 1.3× 839 2.3× 218 1.2× 137 0.9× 118 0.8× 29 3.1k
Maren Scharfe Germany 24 1.3k 0.6× 290 0.8× 169 1.0× 157 1.0× 133 0.9× 34 1.9k
Barbara Lipińska Poland 30 1.7k 0.8× 724 2.0× 115 0.6× 97 0.6× 149 1.1× 82 2.7k
G.S. Monastyrskaya Russia 21 1.2k 0.6× 364 1.0× 79 0.4× 161 1.1× 158 1.1× 52 1.6k
Jae‐Sung Woo South Korea 23 1.5k 0.7× 271 0.8× 393 2.2× 126 0.8× 142 1.0× 49 2.0k
S S Sommer United States 10 1.3k 0.6× 309 0.9× 62 0.4× 125 0.8× 120 0.9× 11 1.7k
Elhanan Pinner Israel 14 1.0k 0.5× 371 1.0× 172 1.0× 315 2.1× 123 0.9× 15 1.9k
Lyndall J. Briggs Australia 15 936 0.5× 213 0.6× 114 0.6× 134 0.9× 160 1.1× 21 1.3k

Countries citing papers authored by David Auble

Since Specialization
Citations

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

Fields of papers citing papers by David Auble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Auble

This figure shows the co-authorship network connecting the top 25 collaborators of David Auble. A scholar is included among the top collaborators of David Auble 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 Auble. David Auble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hoffman, Elizabeth A., et al.. (2024). Genome-scale chromatin binding dynamics of RNA Polymerase II general transcription machinery components. The EMBO Journal. 43(9). 1799–1821. 3 indexed citations
2.
Haque, Rashidul, et al.. (2021). Histone H3 lysine 27 acetylation profile undergoes two global shifts in undernourished children and suggests altered one-carbon metabolism. Clinical Epigenetics. 13(1). 182–182. 9 indexed citations
3.
Burgess, Stacey L., Jhansi L. Leslie, Md. Jashim Uddin, et al.. (2020). Gut microbiome communication with bone marrow regulates susceptibility to amebiasis. Journal of Clinical Investigation. 130(8). 4019–4024. 40 indexed citations
5.
Hoffman, Elizabeth A., et al.. (2017). Second-generation method for analysis of chromatin binding with formaldehyde–cross-linking kinetics. Journal of Biological Chemistry. 292(47). 19338–19355. 11 indexed citations
6.
Viswanathan, Ramya, et al.. (2014). Analysis of chromatin binding dynamics using the crosslinking kinetics (CLK) method. Methods. 70(2-3). 97–107. 6 indexed citations
7.
Poorey, Kunal, Ramya Viswanathan, Tatiana Karpova, et al.. (2013). Measuring Chromatin Interaction Dynamics on the Second Time Scale at Single-Copy Genes. Science. 342(6156). 369–372. 70 indexed citations
8.
Cui, Sheng, Ramya Viswanathan, Otto Berninghausen, et al.. (2011). Structure and mechanism of the Swi2/Snf2 remodeller Mot1 in complex with its substrate TBP. Nature. 475(7356). 403–407. 60 indexed citations
9.
Poorey, Kunal, et al.. (2010). RNA synthesis precision is regulated by preinitiation complex turnover. Genome Research. 20(12). 1679–1688. 12 indexed citations
10.
Auble, David. (2008). The dynamic personality of TATA-binding protein. Trends in Biochemical Sciences. 34(2). 49–52. 21 indexed citations
11.
Das-Gupta, Arindam, Rebekka O. Sprouse, Sarah L. French, et al.. (2007). Regulation of rRNA Synthesis by TATA-Binding Protein-Associated Factor Mot1. Molecular and Cellular Biology. 27(8). 2886–2896. 13 indexed citations
12.
Das-Gupta, Arindam, et al.. (2005). Mot1‐mediated control of transcription complex assembly and activity. The EMBO Journal. 24(9). 1717–1729. 47 indexed citations
13.
Smith, J. Joshua, et al.. (2004). The NEF4 Complex Regulates Rad4 Levels and Utilizes Snf2/Swi2-Related ATPase Activity for Nucleotide Excision Repair. Molecular and Cellular Biology. 24(14). 6362–6378. 52 indexed citations
14.
Das-Gupta, Arindam, et al.. (2004). Sir Antagonist 1 (San1) Is a Ubiquitin Ligase. Journal of Biological Chemistry. 279(26). 26830–26838. 41 indexed citations
15.
Miyake, Tsuyoshi, Justin Reese, Christian Loc’h, David Auble, & Rong Li. (2004). Genome-wide Analysis of ARS (Autonomously Replicating Sequence) Binding Factor 1 (Abf1p)-mediated Transcriptional Regulation in Saccharomyces cerevisiae. Journal of Biological Chemistry. 279(33). 34865–34872. 36 indexed citations
16.
Weil, P. Anthony, et al.. (1999). MOT1 Can Activate Basal Transcription In Vitro by Regulating the Distribution of TATA Binding Protein between Promoter and Nonpromoter Sites. Molecular and Cellular Biology. 19(4). 2835–2845. 49 indexed citations
17.
Auble, David, et al.. (1998). Cloning and Biochemical Characterization of TAF-172, a Human Homolog of Yeast Mot1. Molecular and Cellular Biology. 18(3). 1701–1710. 61 indexed citations
18.
Auble, David, Dongyan Wang, Kai Post, & Steven Hahn. (1997). Molecular Analysis of the SNF2/SWI2 Protein Family Member MOT1, an ATP-Driven Enzyme That Dissociates TATA-Binding Protein from DNA. Molecular and Cellular Biology. 17(8). 4842–4851. 86 indexed citations
19.
Auble, David, et al.. (1995). Analysis of the Yeast Transcription Factor TFIIA: Distinct Functional Regions and a Polymerase II-Specific Role in Basal and Activated Transcription. Molecular and Cellular Biology. 15(3). 1234–1243. 87 indexed citations
20.
Brinckerhoff, Constance & David Auble. (1990). Regulation of Collagenase Gene Expression in Synovial Fibroblastsa. Annals of the New York Academy of Sciences. 580(1). 355–374. 31 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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