Scott Cain
Impact in
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- Genomics and Phylogenetic Studies
- Protist diversity and phylogeny
- RNA and protein synthesis mechanisms
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
Papers in
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- Genomics and Phylogenetic Studies 7
- Machine Learning in Bioinformatics 1
- Ecology 2
- Co-authors
- Olivier Arnaiz (2 shared papers)Linda Sperling (2 shared papers)John Cohen (1 shared paper)Lincoln Stein (5 shared papers)Robert Buels (5 shared papers)Teresa De Jesus Martinez (3 shared papers)Elliot A. Hershberg (3 shared papers)Robin Haw (3 shared papers)
- Journals
- Bioinformatics (1 paper)Genome biology (1 paper)Briefings in Bioinformatics (1 paper)Current Protocols (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Scott Cain
8 papers receiving 300 citations
Scott Cain's Hit Papers
Peers
Comparison fields: 5 of 58
- Aging 14
- Molecular Biology 239
- Horticulture 3
- Plant Science 101
- Genetics 62
Countries citing papers authored by Scott Cain
This map shows the geographic impact of Scott Cain'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 Cain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Cain more than expected).
Fields of papers citing papers by Scott Cain
This network shows the impact of papers produced by Scott Cain. 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 Cain. The network helps show where Scott Cain may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Cain, 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 | JBrowse 2: a modular genome browser with views of synteny and structural variation Hit paper breakdown → | 2023 | 128 |
| 2 | 2006 | 92 | |
| 3 | 2011 | 32 | |
| 4 | 2008 | 30 | |
| 5 | 2018 | 21 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 1 | |
| 9 | 2024 | 0 |
About Scott Cain
Scott Cain is a scholar working on Molecular Biology, Ecology, Genetics, Plant Science and Information Systems, having authored 9 papers that have together received 309 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Genetic diversity and population structure (2 papers), Nematode management and characterization studies (1 paper), Species Distribution and Climate Change (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Machine Learning in Bioinformatics (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Aging (14 citations), Molecular Biology (239 citations), Horticulture (3 citations), Plant Science (101 citations) and Genetics (62 citations). Scott Cain has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Olivier Arnaiz, Linda Sperling, John Cohen, Lincoln Stein, Robert Buels, Teresa De Jesus Martinez, Elliot A. Hershberg, Robin Haw, Ian Holmes and Peter Xie. Their work appears in journals such as Bioinformatics, Genome biology, Briefings in Bioinformatics, Current Protocols and Nucleic Acids Research.
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.