Dana J. Huebert

7.3k total citations · 2 hit papers
8 papers, 5.5k citations indexed

About

Dana J. Huebert is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Dana J. Huebert has authored 8 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Cell Biology and 1 paper in Plant Science. Recurrent topics in Dana J. Huebert's work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (3 papers) and Fungal and yeast genetics research (2 papers). Dana J. Huebert is often cited by papers focused on Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (3 papers) and Fungal and yeast genetics research (2 papers). Dana J. Huebert collaborates with scholars based in United States and France. Dana J. Huebert's co-authors include B Bernstein, Michael Kamal, Eric S. Lander, Stuart L. Schreiber, Kathrin Plath, Alex Meissner, James Cuff, Alexandre Wagschal, Rudolf Jaenisch and Xiaohui Xie and has published in prestigious journals such as Cell, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Dana J. Huebert

8 papers receiving 5.4k citations

Hit Papers

A Bivalent Chromatin Stru... 2005 2026 2012 2019 2006 2005 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana J. Huebert United States 8 5.0k 833 459 427 313 8 5.5k
Félix Recillas‐Targa Mexico 31 3.1k 0.6× 898 1.1× 417 0.9× 387 0.9× 210 0.7× 106 3.7k
Lingyun Song United States 30 3.9k 0.8× 1.2k 1.4× 537 1.2× 336 0.8× 238 0.8× 59 4.5k
Galina N. Filippova United States 26 4.1k 0.8× 1.3k 1.5× 513 1.1× 426 1.0× 218 0.7× 35 4.5k
Alexandre Wagschal France 14 4.8k 1.0× 1.2k 1.4× 709 1.5× 316 0.7× 292 0.9× 16 5.4k
Eveline J. Steine United States 10 4.1k 0.8× 678 0.8× 470 1.0× 215 0.5× 378 1.2× 11 4.6k
Chia‐Lin Wei United States 26 4.4k 0.9× 766 0.9× 704 1.5× 831 1.9× 217 0.7× 55 5.1k
Niall Dillon United Kingdom 34 4.4k 0.9× 996 1.2× 212 0.5× 706 1.7× 523 1.7× 64 5.1k
Stephan Sauer United Kingdom 14 3.8k 0.8× 656 0.8× 247 0.5× 544 1.3× 832 2.7× 18 4.7k
Alex Meissner United States 9 5.5k 1.1× 842 1.0× 1.4k 3.2× 308 0.7× 363 1.2× 10 6.1k
Thorold W. Theunissen United States 23 4.8k 1.0× 660 0.8× 278 0.6× 231 0.5× 187 0.6× 35 5.2k

Countries citing papers authored by Dana J. Huebert

Since Specialization
Citations

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

Fields of papers citing papers by Dana J. Huebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana J. Huebert. 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 Dana J. Huebert. The network helps show where Dana J. Huebert may publish in the future.

Co-authorship network of co-authors of Dana J. Huebert

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

All Works

8 of 8 papers shown
1.
Huebert, Dana J., Pei Fen Kuan, Sündüz Keleş, & Audrey P. Gasch. (2012). Dynamic Changes in Nucleosome Occupancy Are Not Predictive of Gene Expression Dynamics but Are Linked to Transcription and Chromatin Regulators. Molecular and Cellular Biology. 32(9). 1645–1653. 45 indexed citations
2.
Müller, Philipp, Erika Shor, Dana J. Huebert, et al.. (2010). The conserved bromo-adjacent homology domain of yeast Orc1 functions in the selection of DNA replication origins within chromatin. Genes & Development. 24(13). 1418–1433. 64 indexed citations
3.
Kuan, Pei Fen, Dana J. Huebert, Audrey P. Gasch, & Sündüz Keleş. (2009). A Non-Homogeneous Hidden-State Model on First Order Differences for Automatic Detection of Nucleosome Positions. Statistical Applications in Genetics and Molecular Biology. 8(1). Article29–Article29. 18 indexed citations
4.
Huebert, Dana J., et al.. (2009). The histone deacetylase Rpd3p is required for transient changes in genomic expression in response to stress. Genome biology. 10(5). R57–R57. 71 indexed citations
5.
Huebert, Dana J., Michael Kamal, Aoife O’Donovan, & B Bernstein. (2006). Genome-wide analysis of histone modifications by ChIP-on-chip. Methods. 40(4). 365–369. 50 indexed citations
6.
Bernstein, B, Tarjei S. Mikkelsen, Xiaohui Xie, et al.. (2006). A Bivalent Chromatin Structure Marks Key Developmental Genes in Embryonic Stem Cells. Cell. 125(2). 315–326. 4012 indexed citations breakdown →
7.
Huebert, Dana J. & B Bernstein. (2005). Genomic views of chromatin. Current Opinion in Genetics & Development. 15(5). 476–481. 28 indexed citations
8.
Bernstein, B, Michael Kamal, Kerstin Lindblad‐Toh, et al.. (2005). Genomic Maps and Comparative Analysis of Histone Modifications in Human and Mouse. Cell. 120(2). 169–181. 1170 indexed citations breakdown →

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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