Paul J. Laybourn

2.6k total citations · 1 hit paper
30 papers, 2.3k citations indexed

About

Paul J. Laybourn is a scholar working on Molecular Biology, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Paul J. Laybourn has authored 30 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Paul J. Laybourn's work include Genomics and Chromatin Dynamics (12 papers), T-cell and Retrovirus Studies (8 papers) and RNA Research and Splicing (7 papers). Paul J. Laybourn is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), T-cell and Retrovirus Studies (8 papers) and RNA Research and Splicing (7 papers). Paul J. Laybourn collaborates with scholars based in United States, Australia and United Kingdom. Paul J. Laybourn's co-authors include James T. Kadonaga, Michael Dahmus, Ray Sánchez-Pescador, Graeme I. Bell, Richard C. Najarian, Jennifer K. Nyborg, Karolin Luger, Isabelle Lemasson, Nicholas Polakowski and Young‐Jun Park and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Paul J. Laybourn

29 papers receiving 2.2k citations

Hit Papers

Exon duplication and divergence in the human preproglucag... 1983 2026 1997 2011 1983 100 200 300 400

Peers

Paul J. Laybourn
Megan E. Laurance United States
James A. Dias United States
M. Hamon United Kingdom
K Tanabe Japan
William R. Moyle United States
J Arnemann Germany
Megan E. Laurance United States
Paul J. Laybourn
Citations per year, relative to Paul J. Laybourn Paul J. Laybourn (= 1×) peers Megan E. Laurance

Countries citing papers authored by Paul J. Laybourn

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Laybourn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul J. Laybourn

This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Laybourn. A scholar is included among the top collaborators of Paul J. Laybourn 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 Paul J. Laybourn. Paul J. Laybourn 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
2.
Balgopal, Meena M., et al.. (2018). Writing Matters: Writing-to-Learn Activities Increase Undergraduate Performance in Cell Biology. BioScience. 68(6). 445–454. 18 indexed citations
3.
Bogenberger, James M. & Paul J. Laybourn. (2008). Human T Lymphotropic Virus Type 1 protein Tax reduces histone levels. Retrovirology. 5(1). 9–9. 27 indexed citations
4.
Laybourn, Paul J., et al.. (2007). Biochemical analyses of transcriptional regulatory mechanisms in a chromatin context. Methods. 41(3). 259–270. 3 indexed citations
5.
Nyborg, Jennifer K., et al.. (2006). TaxAbolishes Histone H1 Repression of p300 Acetyltransferase Activity at the Human T-Cell Leukemia Virus Type 1Promoter. Journal of Virology. 80(21). 10542–10553. 5 indexed citations
6.
Lemasson, Isabelle, Nicholas Polakowski, Paul J. Laybourn, & Jennifer K. Nyborg. (2006). Tax-dependent Displacement of Nucleosomes during Transcriptional Activation of Human T-Cell Leukemia Virus Type 1. Journal of Biological Chemistry. 281(19). 13075–13082. 29 indexed citations
7.
Laybourn, Paul J., et al.. (2005). Disruption of Histone Deacetylase Gene RPD3 Accelerates PHO5 Activation Kinetics through Inappropriate Pho84p Recycling. Eukaryotic Cell. 4(8). 1387–1395. 11 indexed citations
8.
Bao, Yunhe, Young‐Jun Park, Simona Rosu, et al.. (2004). Nucleosomes containing the histone variant H2A.Bbd organize only 118 base pairs of DNA. The EMBO Journal. 23(16). 3314–3324. 159 indexed citations
9.
McBryant, Steven J., et al.. (2003). Preferential Binding of the Histone (H3-H4)2 Tetramer by NAP1 Is Mediated by the Amino-terminal Histone Tails. Journal of Biological Chemistry. 278(45). 44574–44583. 93 indexed citations
10.
Laybourn, Paul J., et al.. (2003). Reconstitution of Yeast Chromatin Using yNap1p. Methods in enzymology on CD-ROM/Methods in enzymology. 375. 103–117. 4 indexed citations
11.
Livengood, Jill A., Kirsten E. Scoggin, Karen Van Orden, et al.. (2002). p53 Transcriptional Activity Is Mediated through the SRC1-interacting Domain of CBP/p300. Journal of Biological Chemistry. 277(11). 9054–9061. 58 indexed citations
12.
Lemasson, Isabelle, Nicholas Polakowski, Paul J. Laybourn, & Jennifer K. Nyborg. (2002). Transcription Factor Binding and Histone Modifications on the Integrated Proviral Promoter in Human T-cell Leukemia Virus-I-infected T-cells. Journal of Biological Chemistry. 277(51). 49459–49465. 61 indexed citations
13.
Terrell, Andrea R., et al.. (2002). Reconstitution of Nucleosome Positioning, Remodeling, Histone Acetylation, and Transcriptional Activation on the PHO5Promoter. Journal of Biological Chemistry. 277(34). 31038–31047. 23 indexed citations
14.
Laybourn, Paul J., et al.. (2000). Upstream nucleosomes and Rgr1p are required for nucleosomal repression of transcription. Molecular Microbiology. 36(6). 1293–1305. 5 indexed citations
15.
Campbell, Kathleen, Andrea R. Terrell, Paul J. Laybourn, & Kevin J. Lumb. (2000). Intrinsic Structural Disorder of the C-Terminal Activation Domain from the bZIP Transcription Factor Fos. Biochemistry. 39(10). 2708–2713. 69 indexed citations
16.
Terrell, Andrea R., et al.. (1997). Yeast Chromatin Reconstitution System Using Purified Yeast Core Histones and Yeast Nucleosome Assembly Protein-1. Protein Expression and Purification. 10(1). 132–140. 17 indexed citations
17.
Laybourn, Paul J., et al.. (1989). The transition of RNA polymerase II from initiation to elongation is associated with phosphorylation of the carboxyl-terminal domain of subunit IIa. Journal of Biological Chemistry. 264(33). 19621–19629. 221 indexed citations
18.
Laybourn, Paul J. & Michael Dahmus. (1989). Transcription-dependent Structural Changes in the C-terminal Domain of Mammalian RNA Polymerase Subunit IIa/o. Journal of Biological Chemistry. 264(12). 6693–6698. 88 indexed citations
19.
Dahmus, Michael, Paul J. Laybourn, & Carl Borrebaeck. (1988). Production of monoclonal antibody against electrophoretically purified RNA polymerase II subunits using in vitro immunization. Molecular Immunology. 25(10). 997–1003. 11 indexed citations
20.
Bell, Graeme I., Ray Sánchez-Pescador, Paul J. Laybourn, & Richard C. Najarian. (1983). Exon duplication and divergence in the human preproglucagon gene. Nature. 304(5924). 368–371. 460 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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