Matthew G. Guenther
- Molecular Biology top 0.2%
- Genomics and Chromatin Dynamics 10
- Pluripotent Stem Cells Research 7
- Protein Degradation and Inhibitors 7
- Histone Deacetylase Inhibitors Research 7
- Retinoids in leukemia and cellular processes 6
- Epigenetics and DNA Methylation 5
- RNA modifications and cancer 5
- CRISPR and Genetic Engineering 5
- Cancer Research top 0.5%
- Aging top 2%
- Genetics top 1%
- Developmental Neuroscience top 2%
- Co-authors
- Richard A. YoungMitchell A. LazarRudolf JaenischStuart S. LevineLaurie A. BoyerSarah E. JohnstoneMegan F. ColeRoshan Kumar
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Matthew G. Guenther
32 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 10.9k
- Cancer Research 1.7k
- Aging 129
- Genetics 1.7k
- Developmental Neuroscience 229
Countries citing papers authored by Matthew G. Guenther
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
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
The 25 scholars most cited alongside Matthew G. Guenther, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2017 | 89 | |
| 3 | 2014 | 137 | |
| 4 | 2014 | 309 | |
| 5 | 2013 | 1 | |
| 6 | 2012 | 28 | |
| 7 | 2011 | 8 | |
| 8 | 2011 | 458 | |
| 9 | 2010 | 344 | |
| 10 | Connecting microRNA Genes to the Core Transcriptional Regulatory Circuitry of Embryonic Stem Cellsbreakdown → | 2008 | 1104 |
| 11 | 2008 | 204 | |
| 12 | A Chromatin Landmark and Transcription Initiation at Most Promoters in Human Cellsbreakdown → | 2007 | 1512 |
| 13 | Core Transcriptional Regulatory Circuitry in Human Embryonic Stem Cellsbreakdown → | 2005 | 3407 |
| 14 | 2003 | 148 | |
| 15 | 2002 | 3 | |
| 16 | Enzymatic Activity Associated with Class II HDACs Is Dependent on a Multiprotein Complex Containing HDAC3 and SMRT/N-CoRbreakdown → | 2002 | 601 |
| 17 | Histone Deacetylase Is a Direct Target of Valproic Acid, a Potent Anticonvulsant, Mood Stabilizer, and Teratogenbreakdown → | 2001 | 1409 |
| 18 | 2000 | 404 | |
| 19 | 2000 | 273 | |
| 20 | 1997 | 7 |
About Matthew G. Guenther
Matthew G. Guenther is a scholar working on Molecular Biology, Hematology and Cancer Research, having authored 32 papers that have together received 12.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), Pluripotent Stem Cells Research (7 papers), Protein Degradation and Inhibitors (7 papers), Histone Deacetylase Inhibitors Research (7 papers), Retinoids in leukemia and cellular processes (6 papers), Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (10.9k citations), Cancer Research (1.7k citations) and Aging (129 citations). Matthew G. Guenther has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Richard A. Young, Mitchell A. Lazar, Rudolf Jaenisch, Stuart S. Levine, Laurie A. Boyer, Sarah E. Johnstone, Megan F. Cole, Roshan Kumar, Richard G. Jenner and Eric Yi‐Hsiu Huang. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.