Bryan J. Venters

3.5k total citations · 2 hit papers
29 papers, 2.3k citations indexed

About

Bryan J. Venters is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Bryan J. Venters has authored 29 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Bryan J. Venters's work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (10 papers) and RNA and protein synthesis mechanisms (9 papers). Bryan J. Venters is often cited by papers focused on Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (10 papers) and RNA and protein synthesis mechanisms (9 papers). Bryan J. Venters collaborates with scholars based in United States, India and France. Bryan J. Venters's co-authors include B. Franklin Pugh, Cizhong Jiang, Travis N. Mavrich, Stephan C. Schuster, István Albert, Lynn P. Tomsho, Ilya Ioshikhes, Xiaoyong Li, David S. Gilmour and Ji Qi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Blood.

In The Last Decade

Bryan J. Venters

27 papers receiving 2.3k citations

Hit Papers

Nucleosome organization in the Drosophila genome 2008 2026 2014 2020 2008 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan J. Venters United States 15 2.1k 367 181 135 126 29 2.3k
Petros Kolovos Netherlands 21 1.7k 0.8× 374 1.0× 255 1.4× 97 0.7× 179 1.4× 40 2.0k
William Selleck United States 12 1.8k 0.9× 192 0.5× 177 1.0× 185 1.4× 78 0.6× 12 1.9k
Werner Albig Germany 26 1.8k 0.9× 310 0.8× 276 1.5× 81 0.6× 94 0.7× 54 2.0k
João Ferreira Portugal 21 1.8k 0.9× 161 0.4× 269 1.5× 164 1.2× 82 0.7× 30 2.1k
Lars Guelen United States 6 1.6k 0.8× 254 0.7× 278 1.5× 86 0.6× 74 0.6× 12 1.8k
Ramiro E. Verdún United States 19 1.9k 0.9× 218 0.6× 105 0.6× 358 2.7× 197 1.6× 46 2.4k
Desiree Tillo United States 14 2.1k 1.0× 382 1.0× 220 1.2× 71 0.5× 77 0.6× 27 2.3k
Ren-Jang Lin United States 27 3.0k 1.4× 163 0.4× 271 1.5× 144 1.1× 185 1.5× 62 3.2k
Sumio Sugano Japan 15 1.3k 0.6× 133 0.4× 300 1.7× 135 1.0× 147 1.2× 25 1.7k
Hua-Ying Fan United States 23 2.4k 1.1× 244 0.7× 340 1.9× 253 1.9× 185 1.5× 34 2.6k

Countries citing papers authored by Bryan J. Venters

Since Specialization
Citations

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

Fields of papers citing papers by Bryan J. Venters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan J. Venters

This figure shows the co-authorship network connecting the top 25 collaborators of Bryan J. Venters. A scholar is included among the top collaborators of Bryan J. Venters 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 Bryan J. Venters. Bryan J. Venters 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.
Mitra, Apratim, Kairong Cui, Bin Zhao, et al.. (2020). Ldb1 is required for Lmo2 oncogene–induced thymocyte self-renewal and T-cell acute lymphoblastic leukemia. Blood. 135(25). 2252–2265. 5 indexed citations
2.
Brown, Jonathan D., et al.. (2020). Erythropoietin Regulates Transcription and YY1 Dynamics in a Pre-established Chromatin Architecture. iScience. 23(10). 101583–101583. 3 indexed citations
3.
Beeler, J. Scott, Clayton B. Marshall, Paula I. González-Ericsson, et al.. (2019). p73 regulates epidermal wound healing and induced keratinocyte programming. PLoS ONE. 14(6). e0218458–e0218458. 25 indexed citations
4.
Venters, Bryan J., et al.. (2019). Epigenetic and transcriptional profiling of triple negative breast cancer. Scientific Data. 6(1). 190033–190033. 9 indexed citations
5.
Beeler, J. Scott, Clayton B. Marshall, Timothy M. Shaver, et al.. (2018). p73 Is Required for Ovarian Follicle Development and Regulates a Gene Network Involved in Cell-to-Cell Adhesion. iScience. 8. 236–249. 14 indexed citations
6.
Venters, Bryan J., et al.. (2018). Integrative view on how erythropoietin signaling controls transcription patterns in erythroid cells. Current Opinion in Hematology. 25(3). 189–195. 21 indexed citations
7.
Venters, Bryan J., et al.. (2018). ChIP-seq and ChIP-exo profiling of Pol II, H2A.Z, and H3K4me3 in human K562 cells. Scientific Data. 5(1). 180030–180030. 10 indexed citations
8.
Benton, Mary Lauren, et al.. (2017). Epo reprograms the epigenome of erythroid cells. Experimental Hematology. 51. 47–62. 10 indexed citations
9.
Marshall, Clayton B., Deborah J. Mays, J. Scott Beeler, et al.. (2016). p73 Is Required for Multiciliogenesis and Regulates the Foxj1-Associated Gene Network. Cell Reports. 14(10). 2289–2300. 113 indexed citations
10.
Zhao, Yue, Qi Liu, Pankaj Acharya, et al.. (2016). High-Resolution Mapping of RNA Polymerases Identifies Mechanisms of Sensitivity and Resistance to BET Inhibitors in t(8;21) AML. Cell Reports. 16(7). 2003–2016. 59 indexed citations
11.
Venters, Bryan J., et al.. (2016). The ChIP-exo Method: Identifying Protein-DNA Interactions with Near Base Pair Precision. Journal of Visualized Experiments. 6 indexed citations
12.
Venters, Bryan J., et al.. (2011). Genome-Wide Transcriptional Dependence on Conserved Regions of Mot1. Molecular and Cellular Biology. 31(11). 2253–2261. 5 indexed citations
13.
Venters, Bryan J., Shinichiro Wachi, Travis N. Mavrich, et al.. (2011). A Comprehensive Genomic Binding Map of Gene and Chromatin Regulatory Proteins in Saccharomyces. Molecular Cell. 41(4). 480–492. 231 indexed citations
14.
Venters, Bryan J. & B. Franklin Pugh. (2009). A canonical promoter organization of the transcription machinery and its regulators in the Saccharomyces genome. Genome Research. 19(3). 360–371. 145 indexed citations
15.
Venters, Bryan J. & B. Franklin Pugh. (2009). How eukaryotic genes are transcribed. Critical Reviews in Biochemistry and Molecular Biology. 44(2-3). 117–141. 124 indexed citations
16.
Lee, Chanhyo, Xiaoyong Li, Aaron Hechmer, et al.. (2008). NELF and GAGA Factor Are Linked to Promoter-Proximal Pausing at Many Genes in Drosophila. Molecular and Cellular Biology. 28(10). 3290–3300. 175 indexed citations
17.
Mavrich, Travis N., Ilya Ioshikhes, Bryan J. Venters, et al.. (2008). A barrier nucleosome model for statistical positioning of nucleosomes throughout the yeast genome. Genome Research. 18(7). 1073–1083. 511 indexed citations breakdown →
18.
Mavrich, Travis N., Cizhong Jiang, Ilya Ioshikhes, et al.. (2008). Nucleosome organization in the Drosophila genome. Nature. 453(7193). 358–362. 559 indexed citations breakdown →
19.
Cheng, Lin, Todd A. Naumann, Alexander R. Horswill, et al.. (2007). Discovery of antibacterial cyclic peptides that inhibit the ClpXP protease. Protein Science. 16(8). 1535–1542. 47 indexed citations
20.
Venters, Bryan J. & B. Franklin Pugh. (2007). Chromatin meets RNA polymerase II. Genome Biology. 8(11). 319–319. 4 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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