Matthew G. Guenther

18.4k total citations · 5 hit papers
32 papers, 12.3k citations indexed

About

Matthew G. Guenther is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Matthew G. Guenther has authored 32 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Genetics. Recurrent topics in Matthew G. Guenther's work include Genomics and Chromatin Dynamics (10 papers), Pluripotent Stem Cells Research (7 papers) and Protein Degradation and Inhibitors (7 papers). Matthew G. Guenther is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), Pluripotent Stem Cells Research (7 papers) and Protein Degradation and Inhibitors (7 papers). Matthew G. Guenther collaborates with scholars based in United States, Canada and Australia. Matthew G. Guenther's co-authors include Richard A. Young, Mitchell A. Lazar, Rudolf Jaenisch, Stuart S. Levine, Laurie A. Boyer, Megan F. Cole, Sarah E. Johnstone, Roshan Kumar, Richard G. Jenner and Eric Yi‐Hsiu Huang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Matthew G. Guenther

32 papers receiving 12.2k citations

Hit Papers

Core Transcriptional Regulatory Circuitry in Human Embryo... 2001 2026 2009 2017 2005 2007 2001 2008 2002 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Core Transcriptional Regulatory Circuitry in Human Embryonic Stem Cells
    2005 3.4k citations Laurie A. Boyer, Tong Ihn Lee et al. Cell profile →
  2. A Chromatin Landmark and Transcription Initiation at Most Promoters in Human Cells
    2007 1.5k citations Matthew G. Guenther, Stuart S. Levine et al. Cell profile →
  3. Histone Deacetylase Is a Direct Target of Valproic Acid, a Potent Anticonvulsant, Mood Stabilizer, and Teratogen
    2001 1.4k citations Matthew G. Guenther, Mitchell A. Lazar et al. profile →
  4. Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells
    2008 1.1k citations Alexander Marson, Stuart S. Levine et al. Cell profile →
  5. Enzymatic Activity Associated with Class II HDACs Is Dependent on a Multiprotein Complex Containing HDAC3 and SMRT/N-CoR
    2002 601 citations Wolfgang Fischle, Samuel Dequiedt et al. Molecular Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew G. Guenther United States 23 10.9k 1.7k 1.7k 1.1k 579 32 12.3k
Shoumo Bhattacharya United Kingdom 43 5.7k 0.5× 1.7k 1.0× 1.3k 0.8× 1.2k 1.1× 419 0.7× 135 8.1k
Laurie A. Boyer United States 32 12.6k 1.2× 2.2k 1.2× 1.6k 1.0× 812 0.8× 343 0.6× 48 14.1k
Deyou Zheng United States 54 7.5k 0.7× 1.8k 1.0× 1.5k 0.9× 1.0k 1.0× 368 0.6× 199 10.5k
Huck‐Hui Ng Singapore 60 19.4k 1.8× 1.8k 1.0× 3.6k 2.1× 1.3k 1.3× 559 1.0× 113 21.7k
Paul A. Wade United States 61 11.8k 1.1× 1.1k 0.6× 3.0k 1.8× 1.7k 1.5× 342 0.6× 135 14.2k
Manfred Gessler Germany 53 8.6k 0.8× 1.1k 0.6× 1.7k 1.0× 675 0.6× 412 0.7× 165 10.8k
Paul K. Brindle United States 36 6.0k 0.5× 777 0.4× 1.2k 0.7× 1.0k 0.9× 955 1.6× 54 8.3k
Issei Imoto Japan 56 7.3k 0.7× 3.2k 1.9× 1.6k 0.9× 2.1k 1.9× 305 0.5× 251 10.7k
Jacques Samarut France 58 5.3k 0.5× 777 0.4× 2.4k 1.5× 1.0k 1.0× 506 0.9× 180 9.5k
K. Sue O’Shea United States 36 5.0k 0.5× 1.1k 0.6× 740 0.4× 792 0.7× 877 1.5× 83 7.2k

Countries citing papers authored by Matthew G. Guenther

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Guenther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew G. Guenther. 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 Matthew G. Guenther. The network helps show where Matthew G. Guenther may publish in the future.

Co-authorship network of co-authors of Matthew G. Guenther

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Guenther. A scholar is included among the top collaborators of Matthew G. Guenther 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 Matthew G. Guenther. Matthew G. Guenther 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.
Guenther, Matthew G., et al.. (2024). Tree Diameter at Breast Height (DBH) Estimation Using an iPad Pro LiDAR Scanner: A Case Study in Boreal Forests, Ontario, Canada. Forests. 15(1). 214–214. 4 indexed citations
2.
McKeown, Michael R., M. Ryan Corces, Matthew L. Eaton, et al.. (2017). Superenhancer Analysis Defines Novel Epigenomic Subtypes of Non-APL AML, Including an RARα Dependency Targetable by SY-1425, a Potent and Selective RARα Agonist. Cancer Discovery. 7(10). 1136–1153. 89 indexed citations
3.
Anders, Lars, Matthew G. Guenther, Jun Qi, et al.. (2014). Genome-wide determination of drug localization. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 137 indexed citations
4.
Orlando, David A., Mei Wei Chen, Victoria E. Brown, et al.. (2014). Quantitative ChIP-Seq Normalization Reveals Global Modulation of the Epigenome. Cell Reports. 9(3). 1163–1170. 309 indexed citations
5.
Chuy, Carmen, et al.. (2013). PtCo Alloy Stability in PEMFCs under Automotive Cyclic Conditions. ECS Transactions. 50(2). 1563–1573. 1 indexed citations
6.
Orlando, David A., Matthew G. Guenther, Garrett M. Frampton, & Richard A. Young. (2012). CpG island structure and trithorax/polycomb chromatin domains in human cells. Genomics. 100(5). 320–326. 28 indexed citations
7.
Golob, Jonathan L., Roshan Kumar, Matthew G. Guenther, et al.. (2011). Evidence That Gene Activation and Silencing during Stem Cell Differentiation Requires a Transcriptionally Paused Intermediate State. PLoS ONE. 6(8). e22416–e22416. 8 indexed citations
8.
Mullen, Alan C., David A. Orlando, Jamie J. Newman, et al.. (2011). Master Transcription Factors Determine Cell-Type-Specific Responses to TGF-β Signaling. Cell. 147(3). 565–576. 458 indexed citations
9.
Guenther, Matthew G., Garrett M. Frampton, Frank Soldner, et al.. (2010). Chromatin Structure and Gene Expression Programs of Human Embryonic and Induced Pluripotent Stem Cells. Cell stem cell. 7(2). 249–257. 344 indexed citations
10.
Guenther, Matthew G. & Richard A. Young. (2010). Repressive Transcription. Science. 329(5988). 150–151. 34 indexed citations
11.
Marson, Alexander, Stuart S. Levine, Megan F. Cole, et al.. (2008). Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cells. Cell. 134(3). 521–533. 1104 indexed citations breakdown →
12.
Guenther, Matthew G., Stuart S. Levine, Laurie A. Boyer, Rudolf Jaenisch, & Richard A. Young. (2007). A Chromatin Landmark and Transcription Initiation at Most Promoters in Human Cells. Cell. 130(1). 77–88. 1512 indexed citations breakdown →
13.
Boyer, Laurie A., Tong Ihn Lee, Megan F. Cole, et al.. (2005). Core Transcriptional Regulatory Circuitry in Human Embryonic Stem Cells. Cell. 122(6). 947–956. 3407 indexed citations breakdown →
14.
Kao, Gary D., W. Gillies McKenna, Matthew G. Guenther, et al.. (2003). Histone deacetylase 4 interacts with 53BP1 to mediate the DNA damage response. The Journal of Cell Biology. 160(7). 1017–1027. 148 indexed citations
15.
Fischle, Wolfgang, Samuel Dequiedt, Michael J. Hendzel, et al.. (2002). Enzymatic Activity Associated with Class II HDACs Is Dependent on a Multiprotein Complex Containing HDAC3 and SMRT/N-CoR. Molecular Cell. 9(1). 45–57. 601 indexed citations breakdown →
16.
Guenther, Matthew G., Mark R. Witmer, & James R. Burke. (2002). Cytosolic Phospholipase A2 Shows Burst Kinetics Consistent with the Slow, Reversible Formation of a Dead-End Complex. Archives of Biochemistry and Biophysics. 398(1). 101–108. 3 indexed citations
17.
Guenther, Matthew G., William S. Lane, Wolfgang Fischle, et al.. (2000). A core SMRT corepressor complex containing HDAC3 and TBL1, a WD40-repeat protein linked to deafness. Genes & Development. 14(9). 1048–1057. 404 indexed citations
18.
Atkins, G. Brandon, Xiao Hu, Matthew G. Guenther, et al.. (1999). Coactivators for the Orphan Nuclear Receptor RORα. Molecular Endocrinology. 13(9). 1550–1557. 81 indexed citations
19.
Zhang, Jinsong, Matthew G. Guenther, Richard W. Carthew, & Mitchell A. Lazar. (1998). Proteasomal regulation of nuclear receptor corepressor-mediated repression. Genes & Development. 12(12). 1775–1780. 188 indexed citations
20.
Burke, James R., Matthew G. Guenther, Mark R. Witmer, et al.. (1997). Presence of Glycerol Masks the Effects of Phosphorylation on the Catalytic Efficiency of Cytosolic Phospholipase A2. Archives of Biochemistry and Biophysics. 341(1). 177–185. 7 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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