Glen Munson
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in ⓘ
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- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Pluripotent Stem Cells Research 1
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- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Co-authors
- Eric S. Lander (5 shared papers)Mitchell Guttman (2 shared papers)Elizabeth M. Perez (3 shared papers)J Engreitz (4 shared papers)Michael Kane (3 shared papers)Jenny Chen (1 shared paper)Jenna E. Haines (1 shared paper)Patrick McDonel (1 shared paper)
- Partner nations
- United States
In The Last Decade
Glen Munson
5 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 2.1k
- Molecular Biology 3.0k
- Endocrinology 106
- Aging 22
- Genetics 330
Countries citing papers authored by Glen Munson
This map shows the geographic impact of Glen Munson'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 Glen Munson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Munson more than expected).
Fields of papers citing papers by Glen Munson
This network shows the impact of papers produced by Glen Munson. 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 Glen Munson. The network helps show where Glen Munson may publish in the future.
Co-authors
The 25 scholars most cited alongside Glen Munson, 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 | lincRNAs act in the circuitry controlling pluripotency and differentiation Hit paper breakdown → | 2011 | 1542 |
| 2 | Local regulation of gene expression by lncRNA promoters, transcription and splicing Hit paper breakdown → | 2016 | 905 |
| 3 | Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations Hit paper breakdown → | 2019 | 522 |
| 4 | Systematic mapping of functional enhancer–promoter connections with CRISPR interference Hit paper breakdown → | 2016 | 390 |
| 5 | 2025 | 6 |
About Glen Munson
Glen Munson is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Cancer Research (2.1k citations), Molecular Biology (3.0k citations), Endocrinology (106 citations), Aging (22 citations) and Genetics (330 citations). Glen Munson has collaborated with scholars based in United States. Frequent co-authors include Eric S. Lander, Mitchell Guttman, Elizabeth M. Perez, J Engreitz, Michael Kane, Jenny Chen, Jenna E. Haines, Patrick McDonel, Manuel Garber and Ido Amit. Their work appears in journals such as Nature, Cell, Nature Genetics and Science.
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.