Gary Daubresse

1.3k total citations
8 papers, 1.0k citations indexed

About

Gary Daubresse is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Gary Daubresse has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Plant Science. Recurrent topics in Gary Daubresse's work include Genomics and Chromatin Dynamics (5 papers), RNA modifications and cancer (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Gary Daubresse is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), RNA modifications and cancer (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). Gary Daubresse collaborates with scholars based in United States, Italy and China. Gary Daubresse's co-authors include Ophelia Papoulas, John W. Tamkun, Harry F. Noller, Jennifer A. Armstrong, Renate Deuring, Matthew P. Scott, Sarah Moseley, Ted Powers, James A. Kennison and Danesh Moazed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Gary Daubresse

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Daubresse United States 8 966 169 158 69 43 8 1.0k
Gregory A. Marcus United States 9 1.2k 1.3× 292 1.7× 173 1.1× 27 0.4× 52 1.2× 9 1.4k
Thomas D. Webster United States 6 619 0.6× 294 1.7× 196 1.2× 18 0.3× 20 0.5× 8 753
Judith Webster United Kingdom 11 716 0.7× 111 0.7× 171 1.1× 19 0.3× 54 1.3× 16 994
Alan K. Kutach United States 8 787 0.8× 99 0.6× 112 0.7× 17 0.2× 67 1.6× 13 912
Victoria Zismann United States 13 314 0.3× 117 0.7× 341 2.2× 82 1.2× 34 0.8× 22 664
Nadia Amrani United States 20 1.9k 2.0× 202 1.2× 128 0.8× 10 0.1× 29 0.7× 26 2.1k
Scott C. Schuyler United States 15 880 0.9× 30 0.2× 223 1.4× 52 0.8× 33 0.8× 18 1.1k
P.A. Robinson United Kingdom 7 445 0.5× 104 0.6× 116 0.7× 13 0.2× 64 1.5× 10 622
Linda J. Wallace United States 12 484 0.5× 175 1.0× 127 0.8× 14 0.2× 34 0.8× 15 633
Michael Ziman United States 9 841 0.9× 53 0.3× 191 1.2× 8 0.1× 50 1.2× 10 1.0k

Countries citing papers authored by Gary Daubresse

Since Specialization
Citations

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

Fields of papers citing papers by Gary Daubresse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Daubresse

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Daubresse. A scholar is included among the top collaborators of Gary Daubresse 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 Gary Daubresse. Gary Daubresse 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.
Armstrong, Jennifer A., Ophelia Papoulas, Gary Daubresse, et al.. (2002). The Drosophila BRM complex facilitates global transcription by RNA polymerase II. The EMBO Journal. 21(19). 5245–5254. 135 indexed citations
2.
Papoulas, Ophelia, et al.. (2001). The HMG-domain protein BAP111 is important for the function of the BRM chromatin-remodeling complex in vivo. Proceedings of the National Academy of Sciences. 98(10). 5728–5733. 51 indexed citations
3.
Deuring, Renate, Laura Fanti, Jennifer A. Armstrong, et al.. (2000). The ISWI Chromatin-Remodeling Protein Is Required for Gene Expression and the Maintenance of Higher Order Chromatin Structure In Vivo. Molecular Cell. 5(2). 355–365. 320 indexed citations
4.
Merryman, Chuck, Danesh Moazed, Gary Daubresse, & Harry F. Noller. (1999). Nucleotides in 23S rRNA protected by the association of 30S and 50S ribosomal subunits 1 1Edited by D. E. Draper. Journal of Molecular Biology. 285(1). 107–113. 96 indexed citations
5.
Daubresse, Gary, Renate Deuring, Lisa A. Schulte Moore, et al.. (1999). The Drosophila kismet gene is related to chromatin-remodeling factors and is required for both segmentation and segment identity. Development. 126(6). 1175–1187. 115 indexed citations
6.
Elfring, Lisa, Ophelia Papoulas, Renate Deuring, et al.. (1998). Genetic Analysis of brahma: The Drosophila Homolog of the Yeast Chromatin Remodeling Factor SWI2/SNF2. Genetics. 148(1). 251–265. 162 indexed citations
7.
Powers, Ted, Gary Daubresse, & Harry F. Noller. (1993). Dynamics of In Vitro Assembly of 16 S rRNA into 30 S Ribosomal Subunits. Journal of Molecular Biology. 232(2). 362–374. 94 indexed citations
8.
Rasmussen, B A, H F Noller, Gary Daubresse, et al.. (1991). Molecular basis of tetracycline action: identification of analogs whose primary target is not the bacterial ribosome. Antimicrobial Agents and Chemotherapy. 35(11). 2306–2311. 76 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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