Joe Ogas

3.6k total citations
38 papers, 2.9k citations indexed

About

Joe Ogas is a scholar working on Molecular Biology, Plant Science and Social Psychology. According to data from OpenAlex, Joe Ogas has authored 38 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 24 papers in Plant Science and 2 papers in Social Psychology. Recurrent topics in Joe Ogas's work include Plant Molecular Biology Research (21 papers), Plant Reproductive Biology (11 papers) and Plant tissue culture and regeneration (9 papers). Joe Ogas is often cited by papers focused on Plant Molecular Biology Research (21 papers), Plant Reproductive Biology (11 papers) and Plant tissue culture and regeneration (9 papers). Joe Ogas collaborates with scholars based in United States, Canada and China. Joe Ogas's co-authors include Chris Somerville, Ira Herskowitz, Brenda Andrews, S. Dean Rider, Heng Zhang, Scott H. Kaufmann, Deane L. Falcone, Jin-Chen Cheng, Z. Renee Sung and Clint Chapple and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Joe Ogas

36 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Ogas United States 21 2.3k 2.0k 240 173 75 38 2.9k
Nan Yao China 24 1.9k 0.8× 2.6k 1.3× 319 1.3× 122 0.7× 31 0.4× 62 3.4k
Rossana Henriques Spain 23 2.8k 1.2× 3.7k 1.9× 94 0.4× 108 0.6× 31 0.4× 32 4.3k
Asako Kamiya Japan 15 2.3k 1.0× 3.2k 1.6× 111 0.5× 91 0.5× 38 0.5× 20 3.8k
Loreto Holuigue Chile 31 1.6k 0.7× 2.0k 1.0× 121 0.5× 51 0.3× 26 0.3× 54 2.7k
Catherine Bergounioux France 36 3.1k 1.4× 3.4k 1.7× 350 1.5× 64 0.4× 205 2.7× 84 4.1k
Naohiro Kato United States 27 1.7k 0.8× 2.0k 1.0× 273 1.1× 36 0.2× 34 0.5× 56 2.7k
Nathalie Frangne France 19 1.3k 0.6× 1.6k 0.8× 155 0.6× 38 0.2× 52 0.7× 25 1.9k
Irute Meskiene Austria 27 2.0k 0.9× 3.0k 1.5× 213 0.9× 34 0.2× 67 0.9× 40 3.4k
Pierre Hilson Belgium 33 3.1k 1.3× 3.4k 1.7× 197 0.8× 58 0.3× 26 0.3× 50 4.2k
Luz Irina A. Calderón Villalobos Germany 20 2.6k 1.1× 3.1k 1.6× 92 0.4× 51 0.3× 87 1.2× 24 3.7k

Countries citing papers authored by Joe Ogas

Since Specialization
Citations

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

Fields of papers citing papers by Joe Ogas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joe Ogas

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Ogas. A scholar is included among the top collaborators of Joe Ogas 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 Joe Ogas. Joe Ogas 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.
Deemer, Eric D., et al.. (2023). Online Science Instruction Can Promote Adolescents’ Autonomy Need Satisfaction: a Latent Growth Curve Analysis. Research in Science Education. 53(5). 961–975. 1 indexed citations
2.
Carter, Benjamin C., et al.. (2022). Contribution of the histone variant H2A.Z to expression of responsive genes in plants. Seminars in Cell and Developmental Biology. 135. 85–92. 10 indexed citations
3.
Yoo, Heejin, Joseph H. Lynch, Xingqi Huang, et al.. (2021). Overexpression of arogenate dehydratase reveals an upstream point of metabolic control in phenylalanine biosynthesis. The Plant Journal. 108(3). 737–751. 20 indexed citations
4.
Carter, Benjamin C., Kwok Ki Ho, Wei Jia, et al.. (2018). The Chromatin Remodelers PKL and PIE1 Act in an Epigenetic Pathway That Determines H3K27me3 Homeostasis in Arabidopsis. The Plant Cell. 30(6). 1337–1352. 103 indexed citations
5.
Park, Jeongmoo, Dong‐Ha Oh, Maheshi Dassanayake, et al.. (2017). Gibberellin Signaling Requires Chromatin Remodeler PICKLE to Promote Vegetative Growth and Phase Transitions. PLANT PHYSIOLOGY. 173(2). 1463–1474. 57 indexed citations
6.
Ho, Kwok Ki, et al.. (2015). The chromatin remodeler chd5 is necessary for proper head development during embryogenesis of Danio rerio. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1849(8). 1040–1050. 7 indexed citations
7.
Ho, Kwok Ki, Heng Zhang, Barbara L. Golden, & Joe Ogas. (2012). PICKLE is a CHD subfamily II ATP-dependent chromatin remodeling factor. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1829(2). 199–210. 58 indexed citations
8.
Zhang, Heng & Joe Ogas. (2009). An Epigenetic Perspective on Developmental Regulation of Seed Genes. Molecular Plant. 2(4). 610–627. 58 indexed citations
9.
Muir, William M., Guilherme J. M. Rosa, Barry R. Pittendrigh, et al.. (2008). A mixture model approach for the analysis of small exploratory microarray experiments. Computational Statistics & Data Analysis. 53(5). 1566–1576. 5 indexed citations
10.
Zhang, Heng, S. Dean Rider, James T. Henderson, et al.. (2008). The CHD3 Remodeler PICKLE Promotes Trimethylation of Histone H3 Lysine 27. Journal of Biological Chemistry. 283(33). 22637–22648. 118 indexed citations
11.
Henderson, James T., et al.. (2005). PICKLE acts during germination to repress expression of embryonic traits. The Plant Journal. 44(6). 1010–1022. 76 indexed citations
12.
Rider, S. Dean, Matthew R. Hemm, Heather A. Hostetler, et al.. (2004). Metabolic profiling of the Arabidopsis pkl mutant reveals selective derepression of embryonic traits. Planta. 219(3). 489–499. 37 indexed citations
13.
Hemm, Matthew R., S. Dean Rider, Joe Ogas, Daryl J. Murry, & Clint Chapple. (2004). Light induces phenylpropanoid metabolism in Arabidopsis roots. The Plant Journal. 38(5). 765–778. 221 indexed citations
14.
Falcone, Deane L., Joe Ogas, & Chris Somerville. (2004). Regulation of membrane fatty acid composition by temperature in mutants of Arabidopsis with alterations in membrane lipid composition. BMC Plant Biology. 4(1). 17–17. 259 indexed citations
15.
Rider, S. Dean, James T. Henderson, Ronald E. Jerome, et al.. (2003). Coordinate repression of regulators of embryonic identity by PICKLE during germination in Arabidopsis. The Plant Journal. 35(1). 33–43. 151 indexed citations
16.
Ogas, Joe. (2000). Gibberellins. Current Biology. 10(2). R48–R48. 7 indexed citations
17.
Ogas, Joe. (1998). Plant hormones: Dissecting the gibberellin response pathway. Current Biology. 8(5). R165–R167. 18 indexed citations
18.
Measday, Vivien, Lynda Moore, Joe Ogas, Mike Tyers, & Brenda Andrews. (1994). The PCL2 (ORFD)-PHO85 Cyclin-Dependent Kinase Complex: a Cell Cycle Regulator in Yeast. Science. 266(5189). 1391–1395. 149 indexed citations
19.
Herskowitz, Ira, Brenda Andrews, Warren D. Kruger, et al.. (1992). 36 Integration of Multiple Regulatory Inputs in the Control of HO Expression in Yeast. Cold Spring Harbor Monograph Archive. 949–974. 23 indexed citations
20.
Herskowitz, Ira, Joe Ogas, Brenda Andrews, & Fred Chang. (1991). Regulators of Synthesis and Activity of the G1 Cyclins of Budding Yeast. Cold Spring Harbor Symposia on Quantitative Biology. 56(0). 33–40. 3 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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