Scott Ronquist
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
Papers in
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- Genomics and Chromatin Dynamics 8
- Gene Regulatory Network Analysis 3
- Single-cell and spatial transcriptomics 2
- Gene expression and cancer classification 2
- CRISPR and Genetic Engineering 1
- Genetics 3
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Indika Rajapakse (13 shared papers)Lindsey A. Muir (6 shared papers)Thomas Ried (4 shared papers)Walter Meixner (4 shared papers)Haiming Chen (2 shared papers)Mats Ljungman (1 shared paper)Jie Chen (1 shared paper)Stephen T. Smale (1 shared paper)
- Journals
- iScience (3 papers)Neoplasia (2 papers)Nucleus (2 papers)Proceedings of the National Academy of Sciences (2 papers)Methods (1 paper)
- Partner nations
- United StatesHong KongCanada
In The Last Decade
Scott Ronquist
13 papers receiving 231 citations
Peers
Comparison fields: 5 of 60
- Computational Mathematics 2
- Molecular Biology 148
- Immunology 31
- Cell Biology 23
- Biophysics 8
Countries citing papers authored by Scott Ronquist
This map shows the geographic impact of Scott Ronquist'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 Scott Ronquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Ronquist more than expected).
Fields of papers citing papers by Scott Ronquist
This network shows the impact of papers produced by Scott Ronquist. 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 Scott Ronquist. The network helps show where Scott Ronquist may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Ronquist, 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 | 2015 | 76 | |
| 2 | 2022 | 33 | |
| 3 | 2019 | 26 | |
| 4 | 2017 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2018 | 14 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2015 | 6 | |
| 10 | 2023 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2017 | 1 |
About Scott Ronquist
Scott Ronquist is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Computer Networks and Communications, having authored 13 papers that have together received 232 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Gene Regulatory Network Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), Chromosomal and Genetic Variations (2 papers), Gene expression and cancer classification (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Microtubule and mitosis dynamics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Computational Mathematics (2 citations), Molecular Biology (148 citations), Immunology (31 citations), Cell Biology (23 citations) and Biophysics (8 citations). Scott Ronquist has collaborated with scholars based in United States, Hong Kong and Canada. Frequent co-authors include Indika Rajapakse, Lindsey A. Muir, Thomas Ried, Walter Meixner, Haiming Chen, Mats Ljungman, Jie Chen, Stephen T. Smale, Max S. Wicha and Haiming Chen. Their work appears in journals such as iScience, Neoplasia, Nucleus, Proceedings of the National Academy of Sciences and Methods.
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.