Nicholas A. Sinnott‐Armstrong
- Molecular Biology top 10%
- Gene expression and cancer classification 5
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- Structural Biology top 10%
- Genetics top 10%
- Genetic Associations and Epidemiology 4
- Biophysics top 5%
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- Cancer Genomics and Diagnostics 2
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- Evolutionary Algorithms and Applications 2
- Co-authors
- Leslie J. MateoKei YamayaAlistair N. BoettigerJun-Han SuSeon KinrotBogdan BintuXiaowei ZhuangJason H. Moore
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Nicholas A. Sinnott‐Armstrong
15 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.1k
- Structural Biology 19
- Genetics 330
- Biophysics 62
- Cancer Research 89
Countries citing papers authored by Nicholas A. Sinnott‐Armstrong
This map shows the geographic impact of Nicholas A. Sinnott‐Armstrong'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 Nicholas A. Sinnott‐Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas A. Sinnott‐Armstrong more than expected).
Fields of papers citing papers by Nicholas A. Sinnott‐Armstrong
This network shows the impact of papers produced by Nicholas A. Sinnott‐Armstrong. 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 Nicholas A. Sinnott‐Armstrong. The network helps show where Nicholas A. Sinnott‐Armstrong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas A. Sinnott‐Armstrong, 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 | 2020 | 84 | |
| 2 | Super-resolution chromatin tracing reveals domains and cooperative interactions in single cellsbreakdown → | 2018 | 636 |
| 3 | 2018 | 55 | |
| 4 | 2018 | 7 | |
| 5 | 2016 | 57 | |
| 6 | 2012 | 151 | |
| 7 | BioLite, a lightweight bioinformatics framework with automated tracking of diagnostics and provenance | 2012 | 11 |
| 8 | 2011 | 93 | |
| 9 | 2011 | 4 | |
| 10 | 2011 | 2 | |
| 11 | 2010 | 27 | |
| 12 | 2010 | 14 | |
| 13 | 2010 | 8 | |
| 14 | 2010 | 59 | |
| 15 | 2009 | 32 |
About Nicholas A. Sinnott‐Armstrong
Nicholas A. Sinnott‐Armstrong is a scholar working on Space and Planetary Science, Molecular Biology and Information Systems and Management, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genetic Associations and Epidemiology (4 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), RNA modifications and cancer (2 papers), Evolutionary Algorithms and Applications (2 papers), Cancer Genomics and Diagnostics (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Structural Biology (19 citations) and Genetics (330 citations). Nicholas A. Sinnott‐Armstrong has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Leslie J. Mateo, Kei Yamaya, Alistair N. Boettiger, Jun-Han Su, Seon Kinrot, Bogdan Bintu, Xiaowei Zhuang, Jason H. Moore, Jeff Kiralis and Ryan J. Urbanowicz. Their work appears in journals such as Science, Nucleic Acids Research and Nature 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.