Stephen Watt
Impact in
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
- Genomics and Phylogenetic Studies
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
- Aging 1
-
- Fungal and yeast genetics research 19
- Genomics and Chromatin Dynamics 18
- RNA Research and Splicing 17
- RNA and protein synthesis mechanisms 8
- DNA Repair Mechanisms 5
- RNA modifications and cancer 5
- Co-authors
- Jürg BählerDuncan T. OdomMichael D. WilsonSamuel MargueratClaudia KutterChristopher J. PenkettFalk SchubertBrian T. Wilhelm
- Journals
- Molecular and Cellular Biology (4 papers)Molecular Biology of the Cell (3 papers)Journal of Biological Chemistry (3 papers)Molecular Genetics and Genomics (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Stephen Watt
36 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 3.5k
- Cancer Research 619
- Aging 68
- Plant Science 612
- Genetics 446
Countries citing papers authored by Stephen Watt
This map shows the geographic impact of Stephen Watt'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 Stephen Watt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Watt more than expected).
Fields of papers citing papers by Stephen Watt
This network shows the impact of papers produced by Stephen Watt. 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 Stephen Watt. The network helps show where Stephen Watt may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Watt, 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 | 2013 | 14 | |
| 2 | The Evolutionary Landscape of Alternative Splicing in Vertebrate Species Hit paper breakdown → | 2012 | 710 |
| 3 | 2012 | 261 | |
| 4 | 2012 | 47 | |
| 5 | 2011 | 35 | |
| 6 | 2011 | 56 | |
| 7 | 2011 | 78 | |
| 8 | 2011 | 26 | |
| 9 | Five-Vertebrate ChIP-seq Reveals the Evolutionary Dynamics of Transcription Factor Binding Hit paper breakdown → | 2010 | 535 |
| 10 | 2010 | 32 | |
| 11 | 2010 | 73 | |
| 12 | 2009 | 19 | |
| 13 | 2009 | 66 | |
| 14 | 2008 | 16 | |
| 15 | 2008 | 25 | |
| 16 | 2008 | 35 | |
| 17 | 2008 | 36 | |
| 18 | 2007 | 175 | |
| 19 | 2007 | 167 | |
| 20 | 2007 | 17 |
About Stephen Watt
Stephen Watt is a scholar working on Aging, Molecular Biology, Plant Science, Cancer Research and Cell Biology, having authored 37 papers that have together received 4.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (19 papers), Genomics and Chromatin Dynamics (18 papers), RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (8 papers), DNA Repair Mechanisms (5 papers), RNA modifications and cancer (5 papers), Chromosomal and Genetic Variations (5 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Molecular Biology (3.5k citations), Cancer Research (619 citations), Aging (68 citations), Plant Science (612 citations) and Genetics (446 citations). Stephen Watt has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jürg Bähler, Duncan T. Odom, Michael D. Wilson, Samuel Marguerat, Claudia Kutter, Christopher J. Penkett, Falk Schubert, Brian T. Wilhelm, Ian Goodhead and Jane Rogers. Their work appears in journals such as Molecular and Cellular Biology, Molecular Biology of the Cell, Journal of Biological Chemistry, Molecular Genetics and Genomics and PLoS Genetics.
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.