J Stamatoyannopoulos
- Molecular Biology top 0.1%
- Genomics and Chromatin Dynamics 76
- Epigenetics and DNA Methylation 31
- RNA and protein synthesis mechanisms 27
- Genomics and Phylogenetic Studies 18
- RNA Research and Splicing 17
- RNA modifications and cancer 11
- CRISPR and Genetic Engineering 10
- Genetics top 0.1%
- Cancer Research top 0.5%
- Aging top 1%
- Plant Science top 0.5%
- Chromosomal and Genetic Variations 12
- Co-authors
- Richard SandstromPeter J. SaboRobert E. ThurmanWilliam Stafford NobleMichael O. DorschnerEric S. LanderB BernsteinShobhit Gupta
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
J Stamatoyannopoulos
131 papers receiving 22.6k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Molecular Biology 18.9k
- Genetics 4.8k
- Cancer Research 2.5k
- Aging 193
- Plant Science 3.4k
Countries citing papers authored by J Stamatoyannopoulos
This map shows the geographic impact of J Stamatoyannopoulos'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 J Stamatoyannopoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Stamatoyannopoulos more than expected).
Fields of papers citing papers by J Stamatoyannopoulos
This network shows the impact of papers produced by J Stamatoyannopoulos. 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 J Stamatoyannopoulos. The network helps show where J Stamatoyannopoulos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Stamatoyannopoulos, 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2022 | 20 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 110 | |
| 8 | De novo design of protein logic gatesbreakdown → | 2020 | 158 |
| 9 | 2019 | 60 | |
| 10 | 2019 | 3 | |
| 11 | 2017 | 11 | |
| 12 | 2013 | 203 | |
| 13 | 2013 | 18 | |
| 14 | 2013 | 22 | |
| 15 | 2011 | 182 | |
| 16 | 2010 | 1 | |
| 17 | Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genomebreakdown → | 2009 | 5700 |
| 18 | 2007 | 103 | |
| 19 | 2004 | 112 | |
| 20 | 1997 | 33 |
About J Stamatoyannopoulos
J Stamatoyannopoulos is a scholar working on Molecular Biology, Genetics and Genetics, having authored 137 papers that have together received 22.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (76 papers), Epigenetics and DNA Methylation (31 papers), RNA and protein synthesis mechanisms (27 papers), Genomics and Phylogenetic Studies (18 papers), RNA Research and Splicing (17 papers), Chromosomal and Genetic Variations (12 papers), RNA modifications and cancer (11 papers) and CRISPR and Genetic Engineering (10 papers). The work is most often cited by research in Molecular Biology (18.9k citations), Genetics (4.8k citations) and Cancer Research (2.5k citations). J Stamatoyannopoulos has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Richard Sandstrom, Peter J. Sabo, Robert E. Thurman, William Stafford Noble, Michael O. Dorschner, Eric S. Lander, B Bernstein, Shobhit Gupta, Timothy L. Bailey and Job Dekker. Their work appears in journals such as Nature, Science and 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.