Seth Carbon
Impact in
- Aging top 5%
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- Bioinformatics and Genomic Networks 11
- Biomedical Text Mining and Ontologies 9
- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 2
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- Semantic Web and Ontologies 2
- Advanced Graph Neural Networks 2
- Co-authors
- Chris Mungall (12 shared papers)Suzanna Lewis (3 shared papers)Brad Marshall (1 shared paper)Amelia Ireland (1 shared paper)Shengqiang Shu (1 shared paper)Mónica Muñoz-Torres (3 shared papers)James P. Balhoff (5 shared papers)Benjamin M. Good (5 shared papers)
- Journals
- Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Nature Genetics (1 paper)Open Biology (1 paper)Patterns (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Seth Carbon
16 papers receiving 1.9k citations
Seth Carbon's Hit Papers
Peers
Comparison fields: 5 of 135
- Aging 43
- Molecular Biology 1.2k
- Cancer Research 133
- Genetics 242
- Plant Science 266
Countries citing papers authored by Seth Carbon
This map shows the geographic impact of Seth Carbon'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 Seth Carbon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seth Carbon more than expected).
Fields of papers citing papers by Seth Carbon
This network shows the impact of papers produced by Seth Carbon. 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 Seth Carbon. The network helps show where Seth Carbon may publish in the future.
Co-authors
The 25 scholars most cited alongside Seth Carbon, 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 | AmiGO: online access to ontology and annotation data Hit paper breakdown → | 2008 | 1430 |
| 2 | 2017 | 129 | |
| 3 | 2011 | 93 | |
| 4 | 2019 | 73 | |
| 5 | 2014 | 71 | |
| 6 | 2020 | 62 | |
| 7 | 2016 | 24 | |
| 8 | 2019 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 7 | |
| 11 | Planteome: A resource for Common Reference Ontologies and Applications for Plant Biology | 2016 | 5 |
| 12 | 2018 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2018 | 1 | |
| 15 | Effect of interferon on Qa-1 expression. | 1983 | 1 |
| 16 | The Planteome project | 2016 | 1 |
About Seth Carbon
Seth Carbon is a scholar working on Molecular Biology, Artificial Intelligence, Sociology and Political Science, Information Systems and Information Systems and Management, having authored 16 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Biomedical Text Mining and Ontologies (9 papers), Gene expression and cancer classification (2 papers), Semantic Web and Ontologies (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Graph Neural Networks (2 papers), Misinformation and Its Impacts (1 paper) and Genetics, Aging, and Longevity in Model Organisms (1 paper). The work is most often cited by research in Aging (43 citations), Molecular Biology (1.2k citations), Cancer Research (133 citations), Genetics (242 citations) and Plant Science (266 citations). Seth Carbon has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Chris Mungall, Suzanna Lewis, Brad Marshall, Amelia Ireland, Shengqiang Shu, Mónica Muñoz-Torres, James P. Balhoff, Benjamin M. Good, Kimberly Van Auken and David P. Hill. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Nature Genetics, Open Biology and Patterns.
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.