Mitchell Guttman
- Cancer Research top 0.01%
- Cancer-related molecular mechanisms research 33
- Molecular Biology top 0.05%
- RNA Research and Splicing 45
- RNA modifications and cancer 27
- RNA and protein synthesis mechanisms 18
- Genomics and Chromatin Dynamics 16
- Genomics and Phylogenetic Studies 6
- Single-cell and spatial transcriptomics 5
- Molecular Biology Techniques and Applications 4
- Endocrinology top 0.5%
- Genetics top 1%
- Immunology top 5%
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mitchell Guttman
65 papers receiving 23.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 14.6k
- Molecular Biology 20.7k
- Endocrinology 767
- Genetics 1.6k
- Immunology 895
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2022 | 70 | |
| 3 | 2022 | 32 | |
| 4 | 2021 | 75 | |
| 5 | Integrated spatial genomics reveals global architecture of single nucleibreakdown → | 2021 | 249 |
| 6 | 2020 | 137 | |
| 7 | 2019 | 55 | |
| 8 | Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleusbreakdown → | 2018 | 568 |
| 9 | 2017 | 1 | |
| 10 | 2016 | 193 | |
| 11 | Local regulation of gene expression by lncRNA promoters, transcription and splicingbreakdown → | 2016 | 905 |
| 12 | 2016 | 2 | |
| 13 | The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3 | 2015 | 3 |
| 14 | 2014 | 257 | |
| 15 | 2013 | 48 | |
| 16 | Ribosome Profiling Provides Evidence that Large Noncoding RNAs Do Not Encode Proteinsbreakdown → | 2013 | 594 |
| 17 | Integrative Genomics Viewer | 2011 | 1 |
| 18 | Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expressionbreakdown → | 2009 | 2331 |
| 19 | 2007 | 31 | |
| 20 | 2002 | 404 |
About Mitchell Guttman
Mitchell Guttman is a scholar working on Cancer Research, Molecular Biology and Endocrinology, having authored 65 papers that have together received 23.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (45 papers), Cancer-related molecular mechanisms research (33 papers), RNA modifications and cancer (27 papers), RNA and protein synthesis mechanisms (18 papers), Genomics and Chromatin Dynamics (16 papers), Genomics and Phylogenetic Studies (6 papers), Single-cell and spatial transcriptomics (5 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (14.6k citations), Molecular Biology (20.7k citations) and Endocrinology (767 citations). Mitchell Guttman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John L. Rinn, Eric S. Lander, Manuel Garber, Aviv Regev, Maite Huarte, J Engreitz, Ido Amit, Amy Chow, B Bernstein and Ahmad M. Khalil. Their work appears in journals such as Nature, Cell, Nature Methods, Nature Genetics 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.