Mitchell Guttman
Impact in
- Cancer Research top 0.02%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.05%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Circular RNAs in diseases
- Genomics and Phylogenetic Studies
Papers in
-
- Cancer-related molecular mechanisms research 34
-
- RNA Research and Splicing 50
- RNA modifications and cancer 30
- Genomics and Chromatin Dynamics 21
- RNA and protein synthesis mechanisms 20
- Genomics and Phylogenetic Studies 6
- Single-cell and spatial transcriptomics 5
- CRISPR and Genetic Engineering 3
- Co-authors
- Eric S. Lander (17 shared papers)James Theodore Robinson (3 shared papers)John L. Rinn (8 shared papers)Gad A. Getz (2 shared papers)Helga Thorvaldsdóttir (2 shared papers)Wendy Winckler (2 shared papers)Jill P. Mesirov (2 shared papers)Manuel G. Garber (12 shared papers)
- Journals
- Cell (14 papers)Nature (14 papers)Nature Methods (6 papers)Science (5 papers)Molecular Cell (5 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Mitchell Guttman
77 papers receiving 39.5k citations
Mitchell Guttman's Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 16.8k
- Molecular Biology 29.1k
- Endocrinology 926
- Genetics 4.2k
- Aging 200
Countries citing papers authored by Mitchell Guttman
This map shows the geographic impact of Mitchell Guttman'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 Mitchell Guttman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Guttman more than expected).
Fields of papers citing papers by Mitchell Guttman
This network shows the impact of papers produced by Mitchell Guttman. 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 Mitchell Guttman. The network helps show where Mitchell Guttman may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Guttman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrative genomics viewer Hit paper breakdown → | 2011 | 11095 |
| 2 | Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals Hit paper breakdown → | 2009 | 3437 |
| 3 | Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression Hit paper breakdown → | 2009 | 2435 |
| 4 | Modular regulatory principles of large non-coding RNAs Hit paper breakdown → | 2012 | 1919 |
| 5 | A Large Intergenic Noncoding RNA Induced by p53 Mediates Global Gene Repression in the p53 Response Hit paper breakdown → | 2010 | 1783 |
| 6 | lincRNAs act in the circuitry controlling pluripotency and differentiation Hit paper breakdown → | 2011 | 1600 |
| 7 | Long non-coding RNAs: definitions, functions, challenges and recommendations Hit paper breakdown → | 2023 | 1477 |
| 8 | m6A RNA methylation promotes XIST-mediated transcriptional repression Hit paper breakdown → | 2016 | 1421 |
| 9 | Ab initio reconstruction of cell type–specific transcriptomes in mouse reveals the conserved multi-exonic structure of lincRNAs Hit paper breakdown → | 2010 | 1012 |
| 10 | Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP) Hit paper breakdown → | 2016 | 970 |
| 11 | Local regulation of gene expression by lncRNA promoters, transcription and splicing Hit paper breakdown → | 2016 | 965 |
| 12 | The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3 Hit paper breakdown → | 2015 | 910 |
| 13 | A high-resolution map of human evolutionary constraint using 29 mammals Hit paper breakdown → | 2011 | 822 |
| 14 | Transcriptome-wide Mapping Reveals Widespread Dynamic-Regulated Pseudouridylation of ncRNA and mRNA Hit paper breakdown → | 2014 | 818 |
| 15 | Computational methods for transcriptome annotation and quantification using RNA-seq Hit paper breakdown → | 2011 | 799 |
| 16 | Ribosome Profiling Provides Evidence that Large Noncoding RNAs Do Not Encode Proteins Hit paper breakdown → | 2013 | 619 |
| 17 | Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus Hit paper breakdown → | 2018 | 597 |
| 18 | The 4D nucleome project Hit paper breakdown → | 2017 | 488 |
| 19 | 2016 | 473 | |
| 20 | SARS-CoV-2 Disrupts Splicing, Translation, and Protein Trafficking to Suppress Host Defenses Hit paper breakdown → | 2020 | 431 |
About Mitchell Guttman
Mitchell Guttman is a scholar working on Cancer Research, Molecular Biology, Genetics, Endocrinology and Aging, having authored 78 papers that have together received 40.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (50 papers), Cancer-related molecular mechanisms research (34 papers), RNA modifications and cancer (30 papers), Genomics and Chromatin Dynamics (21 papers), RNA and protein synthesis mechanisms (20 papers), Genomics and Phylogenetic Studies (6 papers), Single-cell and spatial transcriptomics (5 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (16.8k citations), Molecular Biology (29.1k citations), Endocrinology (926 citations), Genetics (4.2k citations) and Aging (200 citations). Mitchell Guttman has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Eric S. Lander, James Theodore Robinson, John L. Rinn, Gad A. Getz, Helga Thorvaldsdóttir, Wendy Winckler, Jill P. Mesirov, Manuel G. Garber, Aviv Regev and Maite Huarte. Their work appears in journals such as Cell, Nature, Nature Methods, Science and Molecular Cell.
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.