Peyton Greenside
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 5
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Oncology 3
- Lung Cancer Research Studies 1
- Co-authors
- Anshul Kundaje (10 shared papers)M Snyder (3 shared papers)Jonathan K. Pritchard (3 shared papers)William J. Greenleaf (2 shared papers)Jason D. Buenrostro (1 shared paper)Julie L. Koenig (1 shared paper)Steven M. Chan (1 shared paper)M. Ryan Corces (1 shared paper)
- Journals
- Nature Medicine (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Nature (1 paper)Cancer Discovery (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Peyton Greenside
13 papers receiving 1.7k citations
Peyton Greenside's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 275
- Molecular Biology 1.2k
- Hematology 145
- Immunology 192
- Oncology 216
Countries citing papers authored by Peyton Greenside
This map shows the geographic impact of Peyton Greenside'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 Peyton Greenside with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peyton Greenside more than expected).
Fields of papers citing papers by Peyton Greenside
This network shows the impact of papers produced by Peyton Greenside. 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 Peyton Greenside. The network helps show where Peyton Greenside may publish in the future.
Co-authors
The 25 scholars most cited alongside Peyton Greenside, 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 | Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution Hit paper breakdown → | 2016 | 671 |
| 2 | 2015 | 215 | |
| 3 | 2017 | 128 | |
| 4 | 2020 | 119 | |
| 5 | 2017 | 112 | |
| 6 | 2018 | 106 | |
| 7 | 2016 | 88 | |
| 8 | 2017 | 80 | |
| 9 | 2019 | 61 | |
| 10 | 2018 | 52 | |
| 11 | 2015 | 45 | |
| 12 | 2017 | 7 | |
| 13 | 2018 | 2 |
About Peyton Greenside
Peyton Greenside is a scholar working on Molecular Biology, Oncology, Cancer Research, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Cancer Mechanisms and Therapy (2 papers), Cancer Genomics and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Acute Myeloid Leukemia Research (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Cancer Research (275 citations), Molecular Biology (1.2k citations), Hematology (145 citations), Immunology (192 citations) and Oncology (216 citations). Peyton Greenside has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Anshul Kundaje, M Snyder, Jonathan K. Pritchard, William J. Greenleaf, Jason D. Buenrostro, Julie L. Koenig, Steven M. Chan, M. Ryan Corces, Beijing Wu and Howard Y. Chang. Their work appears in journals such as Nature Medicine, CPT Pharmacometrics & Systems Pharmacology, Nature, Cancer Discovery and PLoS ONE.
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.