Steven Wingett
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Plant Science top 5%
- Chromosomal and Genetic Variations
Papers in
- Aging 1
- Co-authors
- Peter FraserStefan SchoenfelderCsilla VárnaiTakashi NaganoBiola M. JavierreSimon AndrewsAmos TanayYaniv Lubling
- Journals
- Genome biology (4 papers)Cell Reports (3 papers)Nature Genetics (2 papers)Nature Communications (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Steven Wingett
31 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 2.7k
- Plant Science 745
- Cancer Research 294
- Genetics 477
- Aging 28
Countries citing papers authored by Steven Wingett
This map shows the geographic impact of Steven Wingett'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 Steven Wingett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Wingett more than expected).
Fields of papers citing papers by Steven Wingett
This network shows the impact of papers produced by Steven Wingett. 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 Steven Wingett. The network helps show where Steven Wingett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven Wingett, 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 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 20 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 29 | |
| 9 | 2018 | 72 | |
| 10 | 2018 | 42 | |
| 11 | 2017 | 201 | |
| 12 | Cell-cycle dynamics of chromosomal organization at single-cell resolution Hit paper breakdown → | 2017 | 523 |
| 13 | 2017 | 10 | |
| 14 | 2017 | 111 | |
| 15 | 2017 | 155 | |
| 16 | 2016 | 223 | |
| 17 | 2015 | 121 | |
| 18 | Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C Hit paper breakdown → | 2015 | 623 |
| 19 | 2015 | 116 | |
| 20 | 2014 | 174 |
About Steven Wingett
Steven Wingett is a scholar working on Structural Biology, Aging, Biophysics, Molecular Biology and Cancer Research, having authored 31 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (17 papers), RNA Research and Splicing (12 papers), RNA and protein synthesis mechanisms (5 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Chromosomal and Genetic Variations (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Plant Science (745 citations), Cancer Research (294 citations), Genetics (477 citations) and Aging (28 citations). Steven Wingett has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Peter Fraser, Stefan Schoenfelder, Csilla Várnai, Takashi Nagano, Biola M. Javierre, Simon Andrews, Amos Tanay, Yaniv Lubling, Mayra Furlan-Magaril and Jonathan Cairns. Their work appears in journals such as Genome biology, Cell Reports, Nature Genetics, Nature Communications and Journal of Visualized Experiments.
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.